CN111217055B - Garbage putting supervision method, device, server and system - Google Patents
Garbage putting supervision method, device, server and system Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
- B65F1/00—Refuse receptacles; Accessories therefor
- B65F1/14—Other constructional features; Accessories
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
- B65F1/00—Refuse receptacles; Accessories therefor
- B65F1/0033—Refuse receptacles; Accessories therefor specially adapted for segregated refuse collecting, e.g. receptacles with several compartments; Combination of receptacles
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
- B65F1/00—Refuse receptacles; Accessories therefor
- B65F1/14—Other constructional features; Accessories
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
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Abstract
The embodiment of the invention relates to the technical field of garbage classification, in particular to a garbage putting supervision method, a device, a server and a system. The method is applied to a garbage putting supervision server and comprises the following steps: extracting video image information of garbage throwing; determining incorrect garbage throwing personnel information according to the video image information, wherein the incorrect garbage throwing personnel information comprises the accumulated times of incorrect garbage throwing; and executing punishment operation according to a preset rule and the accumulative times of the incorrect garbage throwing so as to realize garbage throwing supervision. Through the mode, the garbage classification and classified delivery in the garbage delivery process can be supervised, and the attention degree of people on the garbage classification and classified delivery is improved.
Description
Technical Field
The embodiment of the invention relates to the technical field of garbage classification, in particular to a garbage putting supervision method, a device, a server and a system.
Background
In most areas of China, when people generate garbage, the garbage is randomly discarded together, and the garbage classification, the garbage classification and the garbage throwing are not carried out according to the regulations or standards, so that the garbage mixing condition in the garbage treatment process occurs, and the garbage is difficult to separate, so that some recyclable garbage is difficult to recover, the resource waste is caused, and meanwhile, the garbage mixing causes cross pollution, and the environment is easily influenced. Therefore, how to supervise garbage classification and throwing when people generate garbage becomes a technical problem to be solved urgently at present.
Disclosure of Invention
The embodiment of the invention aims to provide a garbage putting supervision method, a garbage putting supervision device, a server and a garbage putting supervision system, which can supervise garbage classification and classified putting in a garbage putting process and improve the attention degree of people on garbage classification and classified putting.
In order to solve the above technical problem, one technical solution adopted by the embodiment of the present invention is: the garbage putting supervision method is applied to a garbage putting supervision server, the garbage putting comprises garbage classification and classified putting, and the method comprises the following steps:
extracting video image information of garbage throwing;
determining incorrect garbage throwing personnel information according to the video image information, wherein the incorrect garbage throwing personnel information comprises the accumulated times of incorrect garbage throwing;
and executing punishment operation according to a preset rule and the accumulative times of the incorrect garbage throwing so as to realize garbage throwing supervision.
Optionally, the determining, according to the video image information, information of people who did not perform correct garbage disposal specifically includes:
performing trash throwing identification according to the video image information, wherein the trash throwing identification comprises trash classification identification and classification throwing identification;
if the garbage is not correctly thrown, intercepting personnel images from the video image information;
and matching the personnel image with a prestored personnel image, and determining that the personnel information corresponding to the matched prestored personnel image is incorrect rubbish throwing personnel information.
Optionally, the method further comprises:
if the garbage is not correctly thrown, a garbage image is intercepted from the video image information;
and storing the garbage image and the personnel image into the personnel information which is not correctly garbage thrown.
Optionally, the incorrect garbage dumping comprises: a garbage classification error or a classification delivery error.
Optionally, the information of the people who did not correctly garbage throw further includes: a contact way;
the operation of performing the penalty operation according to the preset rule and the accumulative number of incorrect garbage throwing specifically comprises:
if the accumulated times of incorrect garbage throwing is within the range of the primary violation reminding value, sending first reminding information to personnel according to the contact way, wherein the first reminding information is used for warning the personnel;
if the accumulated times of incorrect garbage throwing is within the range of the intermediate violation reminding value, sending second reminding information to personnel according to the contact way, wherein the second reminding information is used for informing the personnel to carry out ideological education;
and if the accumulated times of incorrect garbage throwing is within the high-level violation reminding value range, generating a fine bill according to a preset law and regulation.
In order to solve the above technical problem, another technical solution adopted by the embodiment of the present invention is: the utility model provides a rubbish is put in and is supervised device is applied to rubbish and puts in and supervise server, rubbish is put in including rubbish classification and categorised input, the device includes:
the extraction module is used for extracting video image information of garbage throwing;
the determining module is used for determining incorrect garbage throwing personnel information according to the video image information, wherein the incorrect garbage throwing personnel information comprises the accumulated times of incorrect garbage throwing;
and the execution module is used for executing punishment operation according to a preset rule and the accumulative times of incorrect garbage throwing so as to realize garbage throwing supervision.
Optionally, the determining module includes:
the garbage throwing identification module is used for carrying out garbage throwing identification according to the video image information, and the garbage throwing identification comprises garbage classification identification and classification throwing identification;
the first interception module is used for intercepting a personnel image from the video image information if the garbage is not correctly thrown;
and the matching module is used for matching the personnel images with prestored personnel images and determining that the personnel information corresponding to the matched prestored personnel images is incorrect rubbish throwing personnel information.
Optionally, the apparatus further comprises:
the second intercepting module is used for intercepting a garbage image from the video image information if the garbage is not correctly thrown;
and the storage module is used for storing the garbage image and the personnel image into the personnel information which is not correctly garbage thrown.
Optionally, the information of the people who did not correctly garbage throw further includes: a contact way;
the execution module is specifically configured to:
if the accumulated times of incorrect garbage throwing is within the range of the primary violation reminding value, sending first reminding information to personnel according to the contact way, wherein the first reminding information is used for warning the personnel;
if the accumulated times of incorrect garbage throwing is within the range of the intermediate violation reminding value, sending second reminding information to personnel according to the contact way, wherein the second reminding information is used for informing the personnel to carry out ideological education;
and if the accumulated times of incorrect garbage throwing is within the high-level violation reminding value range, generating a fine bill according to a preset law and regulation.
In order to solve the above technical problem, another technical solution adopted by the embodiment of the present invention is: there is provided a spam delivery supervision server comprising:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method described above.
In order to solve the above technical problem, another technical solution adopted by the embodiment of the present invention is: there is provided a garbage disposal monitoring system comprising:
monitoring equipment; and the number of the first and second groups,
the above-mentioned garbage putting supervision server;
the monitoring equipment is connected with the garbage putting supervision server.
The beneficial effects of the embodiment of the invention are as follows: different from the prior art, embodiments of the present invention provide a method, an apparatus, a server, and a system for supervising garbage collection, in which information of people who do not correctly collect garbage is determined by extracting video image information of garbage collection, so as to obtain the cumulative number of times of incorrect garbage collection included in the information of people who do not correctly collect garbage collection, and then a penalty operation is performed on the people who do not correctly collect garbage collection according to a preset rule and the cumulative number of times of incorrect garbage collection, so that it is possible to supervise garbage classification and classified collection in a garbage collection process, and increase the degree of importance of people on garbage classification and classified collection.
Drawings
One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the figures in which like reference numerals refer to similar elements and which are not to scale unless otherwise specified.
Fig. 1 is a schematic structural diagram of a garbage throwing monitoring system according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a garbage placement monitoring method according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart of step S120 shown in FIG. 2;
fig. 4 is a partial schematic flow chart of a garbage placement monitoring method according to another embodiment of the present invention;
fig. 5 is a schematic structural diagram of a garbage throwing monitoring device according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of a specific structure of the determination module shown in FIG. 5;
fig. 7 is a schematic partial structural diagram of a garbage throwing monitoring device according to yet another embodiment of the present invention;
fig. 8 is a schematic structural diagram of a garbage placement monitoring server according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the embodiments of the present invention will be described in detail and fully with reference to the accompanying drawings. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may be present. The terms "vertical," "horizontal," "left," "right," and the like as used herein are for descriptive purposes only.
In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
Example one
Referring to fig. 1, a schematic structural diagram of a garbage placement monitoring system according to an embodiment of the present invention is shown, where the garbage placement monitoring system 1 includes: a garbage delivery supervision server 10 and a monitoring device 20.
The monitoring device 20 is disposed at a garbage throwing point 30 in a residential quarter, an office or a public place, or disposed near the garbage throwing point 30 in the residential quarter, the office or the public place, and is configured to shoot video image information of the garbage throwing point 30, where the shot video image information may be: ASF format, n AVI format, MPEG format, MOV format, and the like.
The garbage can 31 is arranged at the garbage input point 30, the garbage can 31 is a classified garbage can, and a garbage classification label is arranged on the classified garbage can, so that people can input garbage by classification through the garbage classification label, and when the monitoring device 20 shoots video image information of the garbage input point 30, the garbage can 31 and the garbage classification label arranged on the garbage can 31 can be shot.
This rubbish containing bucket 31 still is provided with the response bung, and this response bung is in the closed condition at ordinary times, only when rubbish containing bucket 31 discerns to predetermineeing when puting in the action, just can open automatically behind the default time to make people can stop the default time before rubbish containing bucket 31, can clearly shoot the people's who putes in rubbish face characteristic and the rubbish of preparing to puting in when guaranteeing supervisory equipment 20 to shoot the video image information of rubbish input point 30.
Further, when the induction barrel cover is automatically opened by the garbage containing barrel 31, the garbage containing barrel 31 reminds a person who puts in garbage to dump the garbage, so that the monitoring device 20 can shoot the dumped garbage, and the garbage putting monitoring system 1 can conveniently recognize the thrown garbage.
Further, the monitoring device 20 may be a monitoring camera located at the trash drop point 30 in a security monitoring system installed in a residential area, an office space or a public place, and can shoot video image information of the trash drop point 30 for 24 hours. The monitoring camera at the garbage throwing point 30 in the security monitoring system is directly used as the monitoring equipment 20, a new monitoring camera does not need to be built again, the operation is convenient, and the cost is saved.
In order to facilitate the manager to refer to the video image information of the trash feeding point 30 at a later stage and monitor and verify the trash feeding, in some embodiments, the trash feeding monitoring system 1 further includes a first infrared sensing device (not shown) disposed in the trash container 31 and in communication with the monitoring device 20, and when an object is fed into the trash container 31, the first infrared sensing device sends a first signal to the monitoring device 20, so that the monitoring device 20 marks the video frame of the video image information of the trash feeding point 30 at that time according to the first signal.
Further, in other embodiments, a separate monitoring device 20 can also be rebuilt at the trash launch site 30. The independently constructed monitoring device 20 is convenient to control and can be set to a condition triggering shooting of video image information of the trash drop point 30.
When the monitoring device 20 is set as a condition to trigger shooting of the video image information of the garbage throwing point 30, the garbage containing can 31 is in communication connection with the monitoring device 20, when the garbage containing can 31 recognizes a preset throwing action, the garbage containing can 31 sends a second signal to the monitoring device 20 to start the monitoring device 20 to shoot the video image information of the garbage throwing point 30, and the shooting of the garbage containing can 31 and the garbage classification label arranged on the garbage containing can 31 are included, a person throwing garbage waits for the facial features of the sensing can cover to be automatically opened and the garbage to be thrown in front of the garbage containing can 31, and the person throwing garbage dumps the garbage into the garbage containing can 31 after the sensing can cover of the garbage containing can 31 is automatically opened. The mode of shooting the video image information of the garbage throwing point 30 under the triggering of the condition does not carry out video shooting when no throwing action is preset, so that the condition that useless videos stored in a database are excessive is avoided, and the resource occupation is reduced.
Of course, in some alternative embodiments, the condition-triggered shooting of the monitoring device 20 can be realized by providing a second infrared sensing device (not shown) in the garbage throwing monitoring system 1. This second infrared sensing device is in rubbish containing bucket 31 to with supervisory equipment 20 communication connection, when the second infrared sensing device senses personnel to exist at preset within range, then send the third signal to supervisory equipment 20, in order to start supervisory equipment 20 and shoot the video image information of rubbish input point 30, including shooting rubbish containing bucket 31 and the categorised label of rubbish that sets up on it, the personnel of input rubbish wait for the face characteristic when the response bung is automatic to open and prepare the rubbish of input before rubbish containing bucket 31, the personnel of input rubbish topple over to the rubbish in rubbish containing bucket 31 after the response bung of rubbish containing bucket 31 is automatic to be opened. The mode of shooting the video image information of the garbage throwing point 30 under the condition triggering does not carry out video shooting when no person is close to the garbage containing barrel 31, so that the condition triggering avoids the excessive useless videos stored in the database and reduces the resource occupation.
The trash throwing monitoring server 10 is disposed in a management center of a residential community, an office place or a public place, and is in communication connection with the monitoring device 20 in a wired or wireless manner, and video image information of the trash throwing point 30 shot by the monitoring device 20 is stored in a local memory or is sent to the trash throwing monitoring server 10 in real time for storage. When the video image information of the trash throwing point 30 shot by the monitoring device 20 is sent to the trash throwing monitoring server 10 in real time for storage, the trash throwing monitoring server 10 can execute a trash throwing monitoring method according to the stored video image information of the trash throwing point 30, so that the trash classification and classified throwing in the trash throwing process are monitored, and the importance degree of people on the trash classification and classified throwing is improved.
The garbage putting supervision server 10 may be independently installed, or may be accessed to a property management system in a living cell, an office, or a public place to implement data sharing.
The beneficial effects of the embodiment of the invention are as follows: different from the prior art, embodiments of the present invention provide a method, an apparatus, a server, and a system for supervising garbage collection, in which information of people who do not correctly collect garbage is determined by extracting video image information of garbage collection, so as to obtain the cumulative number of times of incorrect garbage collection included in the information of people who do not correctly collect garbage collection, and then a penalty operation is performed on the people who do not correctly collect garbage collection according to a preset rule and the cumulative number of times of incorrect garbage collection, so that it is possible to supervise garbage classification and classified collection in a garbage collection process, and increase the degree of importance of people on garbage classification and classified collection.
Example two
Fig. 2 is a schematic flow chart of a garbage placement monitoring method according to an embodiment of the present invention, where the garbage placement monitoring method is applied to the garbage placement monitoring system according to the above embodiment and executed by a garbage placement monitoring server. The garbage throwing monitoring method can be used for monitoring garbage classification and classification throwing in the garbage throwing process of personnel in a residential community, an office place or a public place.
The garbage throwing monitoring method comprises the following steps:
s110: and extracting video image information of garbage throwing.
The "video image information of trash throwing" is video image information of a person throwing trash at a trash throwing point, and can be extracted from video image information of the trash throwing point shot by a monitoring device.
Specifically, when the monitoring device is a monitoring camera which is arranged in a security monitoring system of a residential community and is located at a garbage throwing point, the garbage throwing monitoring server acquires video image information of the garbage throwing point from video image information of each place shot by the security monitoring system, then judges whether a garbage throwing action exists according to the acquired video image information of the garbage throwing point, and extracts the video image information of the garbage throwing point with the garbage throwing action as the video image information of garbage throwing if the garbage throwing action exists.
The method comprises the following steps that a garbage putting supervision server judges whether a garbage putting action exists in video image information of a garbage putting point, and mainly comprises the following steps: scanning the video image information of the garbage throwing points frame by frame, judging whether a matched garbage throwing action exists in the video image information of each frame of garbage throwing point according to a preset garbage throwing action, if the matched garbage throwing action exists, indicating that garbage throwing exists in the video image information of the garbage throwing points, and at the moment, extracting the video frames of the video image information of the garbage throwing points with the matched garbage throwing action to form the video image information of garbage throwing.
Wherein, because when rubbish is put in, empty rubbish to rubbish containing bucket in, so have rubbish suspension in the moment of rubbish containing bucket oral area, perhaps, the last moment that increases the object of rubbish containing bucket, so predetermine and put in rubbish action and include: there is the object suspension in rubbish containing barrel's oral area, perhaps, newly-increased object on the rubbish containing barrel, for example: when the video image information of the trash throwing point is scanned frame by the trash throwing monitoring server, when the mouth of the trash containing barrel is identified in a certain video frame of the video image information of the trash throwing point, a suspended object represents that the video frame has a matched trash throwing action, and the method is as follows: when the video image information of the trash throwing point is scanned frame by the trash throwing monitoring server, when an object which is not present in a video frame at the previous moment appears on the trash holding bin is identified in a certain frame of video of the video image information of the trash throwing point (for example, when the trash holding bin is full, new trash is added in the trash holding bin), that is, it represents that a matched trash throwing action exists in the video frame.
The video frames are still images forming video image information, one still image is a video frame, and one section of video image information is formed by a plurality of video frames.
In some embodiments, in order to make things convenient for managers to look up the video image information of rubbish input point in the later stage, monitor and verify rubbish input, monitoring equipment can also be connected with first infrared induction device, this first infrared induction device sets up in rubbish containing bucket, can respond to whether there is an object to input rubbish containing bucket, when the object is input rubbish containing bucket, first infrared induction device sends first signal to monitoring equipment, video frame that monitoring equipment shot the video image information of rubbish input point at that time according to this first signal goes up the mark. The mark may be a specific word, such as "garbage throw", or the like. At the moment, the video image information of the garbage throwing point with the mark is the video image information of garbage throwing, when the video image information of the garbage throwing point is required to be consulted by a manager, the manager can quickly find the video image information of garbage throwing through the mark, the garbage throwing is supervised and verified, and the working efficiency is effectively improved.
Further, when the monitoring device is independently built at the trash drop point and the condition is set to trigger shooting of the video image information of the trash drop point, the trash drop monitoring server directly extracts the video image information of the trash drop point shot by the monitoring device as the video image information of trash drop.
S120: and determining incorrect garbage throwing personnel information according to the video image information, wherein the incorrect garbage throwing personnel information comprises the accumulated times of incorrect garbage throwing.
The "incorrect garbage throwing" includes: a garbage classification error or a classification delivery error. Wherein, when refuse classification mistake is promptly put into rubbish, the rubbish of different grade type is mixed together, does not carry out refuse classification, for example: the garbage thrown into the recyclable garbage containing barrel is not only recyclable but also mixed with non-recyclable garbage, namely, the garbage classification error is represented; when the classified throwing is wrong, namely the garbage is thrown, the garbage type is mistaken, such as: and putting the recyclable garbage into the non-recyclable garbage containing barrel, which is a classified putting error.
The "staff information" is personal information stored in the database, and includes staff names, contact ways, address information and incorrect trash throwing information, where the staff names, contact ways and address information are provided by staff and can be changed, and the incorrect trash throwing information is automatically generated by the trash throwing monitoring server and cannot be changed manually when the right is not obtained. The incorrect garbage throwing information specifically comprises the accumulated times of incorrect garbage throwing, personnel images intercepted when incorrect garbage throwing is carried out and garbage images intercepted when incorrect garbage throwing is carried out, and the garbage throwing monitoring server can automatically increase 1 time in the accumulated times of incorrect garbage throwing corresponding to the incorrect garbage throwing personnel each time when the incorrect garbage throwing is identified by the personnel.
Of course, in some embodiments, when the administrator performs spam delivery supervision and verification on the video image information of spam delivery, the administrator can obtain the right to change the incorrect spam delivery information.
The database can be a database built by the garbage putting monitoring server, can also be a database of a property management system accessed by the garbage putting monitoring server, and can also interface with a large city management data system or a public security population management system to realize personnel information sharing. The personnel information and the pre-stored personnel image corresponding to the personnel information are stored in the database.
Further, when the database is a self-built database or a database of a property management system, the pre-stored personnel image in the database can be obtained by scanning an identity card photo or acquiring a face photo on site and the like; when the database is in butt joint with a city management big data system or a public security population management system, the city management big data or the public security population management system stores identity card information, and a photo on the identity card can be directly used as a pre-stored personnel image.
The "incorrect trash throwing person information" is personal information stored in the database when a person does not perform correct trash throwing.
Referring to fig. 3, the "determining incorrect spam delivery personnel information according to the video image information" specifically includes:
s121: and carrying out garbage putting identification according to the video image information, wherein the garbage putting identification comprises garbage classification identification and classification putting identification.
And after the video image information of the garbage throwing is extracted by the garbage throwing monitoring server, the garbage throwing identification is carried out on the video image information of the garbage throwing.
Specifically, the garbage throwing identification comprises garbage classification identification and classification throwing identification, wherein the garbage classification identification mainly identifies whether the garbage types of the corresponding suspended garbage above the garbage containing barrel are consistent or not; the classification throwing identification mainly identifies whether the garbage type of the corresponding suspended garbage above the garbage containing barrel is matched with the category of the garbage containing barrel.
The garbage throwing identification method mainly comprises the following steps of: the garbage throwing monitoring server scans the extracted video image information of the garbage throwing frame by frame, and extracts a garbage classification label arranged on the garbage containing barrel and garbage suspended above the garbage containing barrel in the video image information of each frame of garbage throwing; performing feature recognition on the extracted garbage classification labels to determine the category of the garbage containing barrel, and comparing the extracted garbage suspended above the garbage containing barrel with a pre-stored garbage model to determine the garbage type; judging whether the garbage types of the garbage suspended above the same garbage containing barrel are consistent or not, if so, indicating that the garbage is classified correctly, then matching the determined garbage type with the category of the garbage containing barrel suspended correspondingly to the garbage of the determined garbage type, if so, indicating that the classified throwing is correct, judging that the garbage is thrown correctly, and if not, indicating that the classified throwing is wrong, and judging that the garbage is not thrown correctly; if the garbage types of the garbage suspended above the same garbage containing barrel are not consistent, the garbage classification is wrong, at the moment, whether classified putting is carried out or not is not judged, and the garbage is directly judged to be incorrectly put.
Wherein, prestoring rubbish model includes: massive unclassified garbage pictures and various garbage pictures. The recognition accuracy rate is more and more accurate as the storage capacity of the junk pictures (classified and unclassified) is increased.
For example, in the video image information of a frame of garbage thrown in, which is extracted by the garbage throwing monitoring server, the garbage containing bucket is extracted and determined to be a recyclable garbage containing bucket and a non-recyclable garbage containing bucket, and garbage a, garbage B, garbage C and garbage D are extracted from the video frame, the garbage a, the garbage B and the garbage C are determined to be recyclable garbage and the garbage D is determined to be non-recyclable garbage, wherein the garbage a and the garbage B are thrown into the same garbage containing bucket, the garbage C and the garbage D are thrown into the same garbage containing bucket, at this time, the garbage a and the garbage B thrown into the same garbage containing bucket are both recyclable garbage, the garbage types are consistent, which indicates that the garbage classification is correct, at this time, if the category of the garbage containing bucket into which the garbage a and the garbage B are thrown is identified to be a recyclable garbage containing bucket, the garbage types are matched with the category of the garbage containing bucket, the classified putting is correct, namely correct garbage putting; if the type of the garbage containing barrel for putting the garbage A and the garbage B is identified as an unrecoverable garbage containing barrel, the garbage type is not matched with the type of the garbage containing barrel, and the classified putting is wrong, namely the garbage is not correctly put; and the garbage C and the garbage D thrown into the same garbage containing barrel are respectively recoverable garbage and non-recoverable garbage, the garbage types are inconsistent, and the classification of the garbage is wrong, namely the garbage is not thrown correctly.
Of course, in some embodiments, when carrying out rubbish input discernment, can also judge the size of the rubbish that rubbish containing bucket top suspended, when the size of the rubbish that rubbish containing bucket top suspended does not match with the size of the rubbish that corresponds in the rubbish model of prestoring, then confirm not topple over rubbish, can't confirm the rubbish type. S122: and if the garbage is not correctly thrown, intercepting the personnel image from the video image information.
When the garbage throwing monitoring server judges that the phenomenon of incorrect garbage throwing exists in the video image information of a certain frame of garbage throwing, the garbage throwing monitoring server intercepts the personnel image from the video frame which is judged to be incorrect garbage throwing.
S123: and matching the personnel image with a prestored personnel image, and determining that the personnel information corresponding to the matched prestored personnel image is incorrect rubbish throwing personnel information.
The pre-stored personnel image is pre-stored in the database to contain head portrait information of the personnel with more facial features, can be a picture on an identity card or a face picture shot on site, and is used for face matching with the intercepted personnel image, and each pre-stored personnel image corresponds to the personnel information of the personnel.
The step of matching the personnel image with the pre-stored personnel image specifically comprises the following steps: and the garbage putting supervision server extracts the face features of the intercepted personnel images, including eye features, lip features, face features, eyebrow features and the like, matches the extracted face features with prestored personnel images in a database, and determines the prestored personnel image with the highest matching degree as being matched with the intercepted personnel images.
And after the garbage throwing monitoring server determines a pre-stored personnel image matched with the intercepted personnel image, determining personnel information corresponding to the pre-stored personnel image as incorrect garbage throwing personnel information, wherein the personnel information comprises personnel names, contact ways, address information and the accumulated times of incorrect garbage throwing.
Further, referring to fig. 4, in some embodiments, the method further includes:
s124: and if the garbage is not correctly thrown, intercepting a garbage image from the video image information.
When the video image information of a certain frame of garbage throwing is judged to have the phenomenon of incorrect garbage throwing by the garbage throwing monitoring server, the garbage throwing monitoring server intercepts the garbage image from the video frame which is judged to have the incorrect garbage throwing.
S125: and storing the garbage image and the personnel image into the personnel information which is not correctly garbage thrown.
When the garbage throwing monitoring server determines that the matched personnel information corresponding to the pre-stored personnel image is incorrect garbage throwing personnel information according to the matching of the intercepted personnel image and the pre-stored personnel image, the garbage throwing monitoring server simultaneously stores the intercepted personnel image and the garbage image into the corresponding incorrect garbage throwing personnel information, and the intercepted personnel image and the garbage image can be conveniently used as evidence when the garbage throwing monitoring server executes punishment operation, or management personnel can conveniently verify the punishment, and misoperation is prevented.
S130: and executing punishment operation according to a preset rule and the accumulative times of the incorrect garbage throwing so as to realize garbage throwing supervision.
The operation of performing the penalty operation according to the preset rule and the accumulative number of incorrect garbage throwing specifically comprises:
if the accumulated times of incorrect garbage throwing is within the range of the primary violation reminding value, sending first reminding information to personnel according to the contact way, wherein the first reminding information is used for warning the personnel;
if the accumulated times of incorrect garbage throwing is within the range of the intermediate violation reminding value, sending second reminding information to personnel according to the contact way, wherein the second reminding information is used for informing the personnel to carry out ideological education;
and if the accumulated times of incorrect garbage throwing is within the high-level violation reminding value range, generating a fine bill according to a preset law and regulation.
The primary violation reminding value can be set to be 1 time, namely only warning is given to personnel who throw the garbage incorrectly for the first time, and first reminding information can be sent to the personnel through a contact way stored in the personnel information and a pre-stored first reminding template, wherein the contact way can be a telephone number, a micro signal, a QQ number, a mailbox and the like, and the pre-stored first reminding template can be 'you throw the garbage incorrectly at this time, please pay attention' and the like;
the middle-level violation reminding value can be set to be 3 times, namely, for the personnel who throw incorrect garbage for multiple times, the personnel can be informed to carry out ideological education, the ideological education comprises the steps of attending an ideological education course, and second reminding information can be sent to the personnel through a contact way stored in personnel information and a prestored second reminding template, wherein the contact way can be a telephone number, a micro signal, a QQ number, a mailbox and the like, the prestored second reminding template can be 'you throw incorrect garbage for multiple times and please attend the ideological education course on xx day xx' and the like, and if the personnel are not actively matched, managers can visit home according to address information in the personnel information;
the advanced violation reminding value can be set to be 5 times, namely, a fine bill is generated according to a preset law and regulation for personnel with a serious incorrect garbage throwing condition so as to improve the attention degree of the personnel.
The embodiment of the invention executes the penalty operation according to the accumulative times of incorrect garbage throwing, can monitor pertinently, executes more strict penalty measures for frequently-taught personnel so as to carry out key supervision, enhances the supervision effect and improves the attention degree of people to garbage classification and classified throwing.
Of course, in some embodiments, a payment account may also be bound in the staff information, and when a fine is required to be executed on a staff, the trash throwing monitoring server may directly deduct a corresponding fine from the payment account.
It should be understood that the violation reminding value and the penalty manner are not limited to the values and manners described in the embodiments of the present invention, and may be set according to actual situations.
Certainly, in some other alternative embodiments, when the video image information of trash throwing is extracted by the trash throwing monitoring server, a prompt can be sent through the speaker or the display device to prompt a manager to perform manual trash throwing identification on the extracted video image information of trash throwing, determine an incorrect trash throwing person image, perform manual search in a pre-stored person image in the database according to the incorrect trash throwing person image, find a pre-stored person image matched with the incorrect trash throwing person image, change the incorrect trash throwing times in the person information corresponding to the matched pre-stored person image, and perform trash throwing monitoring on the person according to a preset rule and the accumulated incorrect trash throwing times.
In other embodiments, after the video image information of the trash throwing point is marked, the manager can also quickly check the video image information of the trash throwing according to the mark in the video image information of the trash throwing point, so that the manager can conveniently perform trash classification and classified throwing supervision and verification, and the working efficiency is effectively improved.
The beneficial effects of the embodiment of the invention are as follows: different from the prior art, embodiments of the present invention provide a method, an apparatus, a server, and a system for supervising garbage collection, in which information of people who do not correctly collect garbage is determined by extracting video image information of garbage collection, so as to obtain the cumulative number of times of incorrect garbage collection included in the information of people who do not correctly collect garbage collection, and then a penalty operation is performed on the people who do not correctly collect garbage collection according to a preset rule and the cumulative number of times of incorrect garbage collection, so that it is possible to supervise garbage classification and classified collection in a garbage collection process, and increase the degree of importance of people on garbage classification and classified collection.
EXAMPLE III
Please refer to fig. 5, which is a schematic structural diagram of a garbage placement monitoring device according to an embodiment of the present invention, the garbage placement monitoring device is applied to the garbage placement monitoring system according to the above embodiment, and functions of each module of the garbage placement monitoring device are executed by a garbage placement monitoring server. The garbage throwing monitoring method can be used for monitoring garbage classification and classification throwing in the garbage throwing process of personnel in a residential community, an office place or a public place.
This rubbish is put in and is supervised the device and includes:
an extracting module 510, wherein the extracting module 510 is configured to extract video image information of garbage delivery;
a determining module 520, where the determining module 520 is configured to determine information of people who did not perform correct garbage collection according to the video image information, where the information of people who did not perform correct garbage collection includes the cumulative number of times of incorrect garbage collection;
an executing module 530, where the executing module 530 is configured to execute a penalty operation according to a preset rule and the accumulated number of incorrect garbage disposals, so as to implement garbage disposing supervision.
Wherein, the incorrect personnel information for garbage throwing further comprises: a contact way;
the executing module 530 is specifically configured to:
if the accumulated times of incorrect garbage throwing is within the range of the primary violation reminding value, sending first reminding information to personnel according to the contact way, wherein the first reminding information is used for warning the personnel;
if the accumulated times of incorrect garbage throwing is within the range of the intermediate violation reminding value, sending second reminding information to personnel according to the contact way, wherein the second reminding information is used for informing the personnel to carry out ideological education;
and if the accumulated times of incorrect garbage throwing is within the high-level violation reminding value range, generating a fine bill according to a preset law and regulation.
Referring to fig. 6, the determining module 520 includes:
a garbage throwing recognition module 521, wherein the garbage throwing recognition module 521 is used for performing garbage throwing recognition according to the video image information, and the garbage throwing recognition comprises garbage classification recognition and classification throwing recognition;
a first interception module 522, where the first interception module 522 is configured to intercept a person image from the video image information if the garbage is not correctly thrown;
a matching module 523, where the matching module 523 is configured to match the personnel image with a pre-stored personnel image, and determine that the personnel information corresponding to the matched pre-stored personnel image is the personnel information about incorrect garbage throwing.
Referring to fig. 7, the garbage throwing monitoring device further includes:
a second capture module 540, where the second capture module 540 is configured to capture a spam image from the video image information if the spam is not correctly delivered;
a saving module 550, where the saving module 550 is configured to save the garbage image and the personnel image to the personnel information of incorrect garbage throwing.
It can be understood that, after the extraction module 510 extracts the video image information of the garbage throwing, the determination module 520 determines the information of the people who do not throw the garbage correctly according to the video image information extracted by the extraction module 510, where the information of the people who do not throw the garbage correctly includes the accumulated times of the incorrect garbage throwing, specifically, the determination module 520 performs the garbage throwing recognition on the video image information extracted by the extraction module 510 through the garbage throwing recognition module 521, if the garbage throwing is not correct, the person image is intercepted from the video image information through the first interception module 522, and the intercepted person image is matched with the pre-stored person image through the matching module 523, the person information corresponding to the matched pre-stored person image is determined to be the information of the people who do not throw the garbage correctly, where the garbage image can also be intercepted from the video image information through the second interception module 540, the intercepted spam image and the personnel image are stored in the personnel information of incorrect spam delivery determined by the matching module 523 through the storage module 550, and then penalty operation is executed through the execution module 530 according to a preset rule and the accumulated times of incorrect spam delivery so as to realize spam delivery supervision, wherein the execution module 530 is specifically used for sending first reminding information to personnel according to the contact manner if the accumulated times of incorrect spam delivery is within the range of the primary violation reminding value, and the first reminding information is used for warning the personnel; if the accumulated times of incorrect garbage throwing is within the range of the intermediate violation reminding value, sending second reminding information to personnel according to the contact way, wherein the second reminding information is used for informing the personnel to carry out ideological education; and if the accumulated times of incorrect garbage throwing is within the high-level violation reminding value range, generating a fine bill according to a preset law and regulation.
Because the device implementation and the method implementation are based on the same concept, the content of the device implementation can refer to the method implementation on the premise that the contents do not conflict with each other, and thus, the details are not repeated herein.
The beneficial effects of the embodiment of the invention are as follows: different from the prior art, embodiments of the present invention provide a method, an apparatus, a server, and a system for supervising garbage collection, in which information of people who do not correctly collect garbage is determined by extracting video image information of garbage collection, so as to obtain the cumulative number of times of incorrect garbage collection included in the information of people who do not correctly collect garbage collection, and then a penalty operation is performed on the people who do not correctly collect garbage collection according to a preset rule and the cumulative number of times of incorrect garbage collection, so that it is possible to supervise garbage classification and classified collection in a garbage collection process, and increase the degree of importance of people on garbage classification and classified collection.
Example four
Referring to fig. 8, it is a schematic structural diagram of a garbage placement monitoring server according to an embodiment of the present invention, where the garbage placement monitoring server 10 can execute a garbage placement monitoring method and further can implement functions of each module of a garbage placement monitoring device.
As shown in fig. 8, the spam delivery supervision server 10 includes:
one or more processors 11 and memory 12. In fig. 8, one processor 11 is taken as an example.
The processor 11 and the memory 12 may be connected by a bus or other means, and fig. 8 illustrates the connection by a bus as an example.
The memory 12, which is a non-volatile computer-readable storage medium, may be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as program instructions corresponding to the garbage placement monitoring method and modules (e.g., the extracting module 510, the determining module 520, and the executing module 530, etc.) corresponding to the garbage placement monitoring apparatus in the above embodiments of the present invention. The processor 11 executes various functional applications and data processing of the garbage throwing monitoring method by running the nonvolatile software program, instructions and modules stored in the memory 12, that is, the functions of the garbage throwing monitoring method in the above method embodiment and the various modules in the above apparatus embodiment are realized.
The memory 12 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the trash launch monitoring apparatus, and the like.
The storage data area is also stored with preset data, including preset rules, preset laws and regulations, preset garbage throwing actions, a pre-stored garbage model, a pre-stored first reminding template, a pre-stored second reminding template and the like.
Further, the memory 12 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, the memory 12 may optionally include memory located remotely from the processor 11, and these remote memories may be connected to the processor 11 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The program instructions and one or more modules are stored in the memory 12 and, when executed by the one or more processors 11, perform the steps of the spam delivery supervision method in any of the above-described method embodiments or implement the functions of the modules of the spam delivery supervision apparatus in any of the above-described apparatus embodiments.
The product can execute the method provided by the embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to the methods provided in the above-described embodiments of the present invention.
Embodiments of the present invention also provide a non-transitory computer-readable storage medium storing computer-executable instructions, which are executed by one or more processors, such as one of the processors 11 in fig. 8, to cause a computer to perform the steps of the garbage placement monitoring method in any of the above-described method embodiments, or to implement the functions of the modules of the garbage placement monitoring apparatus in any of the above-described apparatus embodiments.
Embodiments of the present invention also provide a computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions that, when executed by one or more processors, such as one of processors 11 in fig. 8, cause the computer to perform the steps of, or implement the functions of, the garbage placement supervisory method in any of the above-described method embodiments.
The above-described embodiments of the apparatus are merely illustrative, and the modules described as separate components may or may not be physically separate, and the components displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the embodiment.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a general hardware platform, and certainly can also be implemented by hardware. It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above may be implemented by hardware associated with computer program instructions, and that the programs may be stored in a computer readable storage medium, and when executed, may include processes of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes performed by the present specification and drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (4)
1. A garbage putting supervision method is applied to a garbage putting supervision server, the garbage putting comprises garbage classification and classified putting, and the method is characterized by comprising the following steps:
extracting video image information of garbage throwing;
performing trash throwing identification according to the video image information, wherein the trash throwing identification comprises trash classification identification and classification throwing identification;
if the garbage classification is wrong or the classified delivery is wrong, intercepting a personnel image from the video image information;
matching the personnel image with a pre-stored personnel image, and determining that personnel information corresponding to the matched pre-stored personnel image is incorrect garbage throwing personnel information, wherein the incorrect garbage throwing personnel information comprises the accumulated times of incorrect garbage throwing;
if the garbage is not correctly thrown, a garbage image is intercepted from the video image information;
storing the garbage image and the personnel image into the personnel information which is not correctly garbage thrown;
the incorrect garbage throwing personnel information further comprises: a contact way;
performing punishment operation according to a preset rule and the accumulative times of the incorrect garbage throwing so as to realize garbage throwing supervision;
the operation of performing the penalty operation according to the preset rule and the accumulative number of incorrect garbage throwing specifically comprises:
if the accumulated times of incorrect garbage throwing is within the range of a primary violation reminding value, sending first reminding information to personnel according to the contact way, wherein the first reminding information is used for warning the personnel;
if the accumulated times of incorrect garbage throwing is within the range of the intermediate violation reminding value, sending second reminding information to personnel according to the contact way, wherein the second reminding information is used for informing the personnel to carry out ideological education;
and if the accumulated times of incorrect garbage throwing is within the range of the high-level violation reminding value, generating a fine bill according to a preset law and regulation.
2. The utility model provides a rubbish is put in and is supervised device, is applied to rubbish and puts in and supervise server, rubbish is put in including rubbish classification and categorised input, its characterized in that, the device includes:
the extraction module is used for extracting video image information of garbage throwing;
the garbage throwing identification module is used for carrying out garbage throwing identification according to the video image information, and the garbage throwing identification comprises garbage classification identification and classification throwing identification;
the first interception module is used for intercepting a personnel image from the video image information if the garbage classification is wrong or the classification delivery is wrong;
the matching module is used for matching the personnel image with a pre-stored personnel image and determining that personnel information corresponding to the matched pre-stored personnel image is incorrect garbage throwing personnel information, wherein the incorrect garbage throwing personnel information comprises the accumulated times of incorrect garbage throwing;
the second intercepting module is used for intercepting a garbage image from the video image information if the garbage is not correctly thrown;
the storage module is used for storing the garbage image and the personnel image into the personnel information which is not correctly garbage thrown;
the incorrect garbage throwing personnel information further comprises: a contact way;
the execution module is used for executing punishment operation according to a preset rule and the accumulative times of the incorrect garbage throwing so as to realize garbage throwing supervision;
the execution module is specifically configured to:
if the accumulated times of incorrect garbage throwing is within the range of a primary violation reminding value, sending first reminding information to personnel according to the contact way, wherein the first reminding information is used for warning the personnel;
if the accumulated times of incorrect garbage throwing is within the range of the intermediate violation reminding value, sending second reminding information to personnel according to the contact way, wherein the second reminding information is used for informing the personnel to carry out ideological education;
and if the accumulated times of incorrect garbage throwing is within the range of the high-level violation reminding value, generating a fine bill according to a preset law and regulation.
3. A trash launch supervision server, comprising:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of claim 1.
4. A garbage placement supervisory system, comprising:
monitoring equipment; and the number of the first and second groups,
the trash launch supervision server of claim 3;
the monitoring equipment is connected with the garbage putting supervision server.
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Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111891587B (en) * | 2020-08-26 | 2022-11-04 | 四川卓锦未来环保科技有限公司 | Classified throwing method and device for household garbage |
| CN112766096A (en) * | 2021-01-06 | 2021-05-07 | 上海净收智能科技有限公司 | Recoverable garbage abnormal delivery identification method, system, terminal and throwing device |
| CN113135366A (en) * | 2021-03-01 | 2021-07-20 | 光控特斯联(上海)信息科技有限公司 | Garbage classification system of intelligent community |
| CN113128397B (en) * | 2021-04-16 | 2024-01-05 | 广州中大中鸣科技有限公司 | Monitoring method, system, device and storage medium for garbage classification delivery |
| CN113609181B (en) * | 2021-07-05 | 2023-11-17 | 广州中大中鸣科技有限公司 | Intelligent garbage station monitoring method, system, device and storage medium |
| CN113772290B (en) * | 2021-09-06 | 2023-03-31 | 北京声智科技有限公司 | Garbage classification method, device, system and storage medium |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204507883U (en) * | 2015-04-05 | 2015-07-29 | 西安航空学院 | A kind of garbage classification system |
| CN106096572A (en) * | 2016-06-23 | 2016-11-09 | 惠州Tcl移动通信有限公司 | Living habit detecting and control method based on virtual reality device and virtual reality device |
| CN106127141A (en) * | 2016-06-21 | 2016-11-16 | 北京小米移动软件有限公司 | Warning message generates method and device |
| EP3208753A1 (en) * | 2016-02-20 | 2017-08-23 | Rubicon Global Holdings, LLC | Waste management system implementing remote auditing |
| CN107499784A (en) * | 2017-10-19 | 2017-12-22 | 台山市中尚餐厨用品有限公司 | A kind of dustbin and its refuse classification monitoring system |
| CN107640480A (en) * | 2017-10-19 | 2018-01-30 | 广东拜登网络技术有限公司 | The method and apparatus and storage medium and terminal device of refuse classification retrospect |
| CN107792561A (en) * | 2017-09-30 | 2018-03-13 | 深圳利万联科技有限公司 | A kind of sorting rubbish smartphone system and method |
| CN207329385U (en) * | 2017-06-16 | 2018-05-08 | 詹秀兰 | A kind of environment-protection garbage can built for smart city |
| CN207404295U (en) * | 2017-09-07 | 2018-05-25 | 李安琪 | A kind of intelligence direct dustbin |
| CN108281007A (en) * | 2018-03-29 | 2018-07-13 | 西北工业大学 | A kind of optimization method of the break in traffic rules and regulations monitor system operation based on intelligent recognition |
| CN108629322A (en) * | 2018-05-11 | 2018-10-09 | 中国联合网络通信集团有限公司 | Monitoring method, device and the computer readable storage medium of a suspect |
| CN108706246A (en) * | 2018-05-31 | 2018-10-26 | 深圳市零度智控科技有限公司 | Intelligent refuse classification reclaimer, control method, device and storage medium |
| CN108820647A (en) * | 2018-08-30 | 2018-11-16 | 深圳市研本品牌设计有限公司 | Rubbish put-on method and system based on image recognition |
Family Cites Families (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6546112B1 (en) * | 1993-11-18 | 2003-04-08 | Digimarc Corporation | Security document with steganographically-encoded authentication data |
| US6760463B2 (en) * | 1995-05-08 | 2004-07-06 | Digimarc Corporation | Watermarking methods and media |
| CN201458173U (en) * | 2009-07-14 | 2010-05-12 | 徐鸿刚 | Speech prompt garbage can |
| CN103466242B (en) * | 2012-06-07 | 2015-10-28 | 深圳商联商用科技有限公司 | A kind of method and system of refuse classification management |
| CN203909916U (en) * | 2014-06-05 | 2014-10-29 | 陈斌 | Two-dimension code intelligent classification garbage house |
| CN104386388B (en) * | 2014-09-26 | 2017-02-15 | 潘杰 | Intelligent waste classification and recovery system and recovery method thereof |
| CN206502251U (en) * | 2016-09-05 | 2017-09-19 | 北京三辰环卫机械有限公司 | Dustbin with monitoring function |
| CN106952038A (en) * | 2017-03-22 | 2017-07-14 | 北京虹巢环保科技有限公司 | Rubbish points-scoring system and method |
| CN107054937A (en) * | 2017-03-23 | 2017-08-18 | 广东数相智能科技有限公司 | A kind of refuse classification suggestion device and system based on image recognition |
| CN107054936A (en) * | 2017-03-23 | 2017-08-18 | 广东数相智能科技有限公司 | A kind of refuse classification prompting dustbin and system based on image recognition |
| CN107123076A (en) * | 2017-06-05 | 2017-09-01 | 合肥永泰新型建材有限公司 | A kind of waste management system and waste management method |
| CN108861238A (en) * | 2018-09-14 | 2018-11-23 | 金威建设集团有限公司 | A kind of dustbin with identification garbage classification function |
-
2018
- 2018-11-27 CN CN201811428966.XA patent/CN111217055B/en active Active
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204507883U (en) * | 2015-04-05 | 2015-07-29 | 西安航空学院 | A kind of garbage classification system |
| EP3208753A1 (en) * | 2016-02-20 | 2017-08-23 | Rubicon Global Holdings, LLC | Waste management system implementing remote auditing |
| CN106127141A (en) * | 2016-06-21 | 2016-11-16 | 北京小米移动软件有限公司 | Warning message generates method and device |
| CN106096572A (en) * | 2016-06-23 | 2016-11-09 | 惠州Tcl移动通信有限公司 | Living habit detecting and control method based on virtual reality device and virtual reality device |
| CN207329385U (en) * | 2017-06-16 | 2018-05-08 | 詹秀兰 | A kind of environment-protection garbage can built for smart city |
| CN207404295U (en) * | 2017-09-07 | 2018-05-25 | 李安琪 | A kind of intelligence direct dustbin |
| CN107792561A (en) * | 2017-09-30 | 2018-03-13 | 深圳利万联科技有限公司 | A kind of sorting rubbish smartphone system and method |
| CN107640480A (en) * | 2017-10-19 | 2018-01-30 | 广东拜登网络技术有限公司 | The method and apparatus and storage medium and terminal device of refuse classification retrospect |
| CN107499784A (en) * | 2017-10-19 | 2017-12-22 | 台山市中尚餐厨用品有限公司 | A kind of dustbin and its refuse classification monitoring system |
| CN108281007A (en) * | 2018-03-29 | 2018-07-13 | 西北工业大学 | A kind of optimization method of the break in traffic rules and regulations monitor system operation based on intelligent recognition |
| CN108629322A (en) * | 2018-05-11 | 2018-10-09 | 中国联合网络通信集团有限公司 | Monitoring method, device and the computer readable storage medium of a suspect |
| CN108706246A (en) * | 2018-05-31 | 2018-10-26 | 深圳市零度智控科技有限公司 | Intelligent refuse classification reclaimer, control method, device and storage medium |
| CN108820647A (en) * | 2018-08-30 | 2018-11-16 | 深圳市研本品牌设计有限公司 | Rubbish put-on method and system based on image recognition |
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| Publication number | Publication date |
|---|---|
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