CN117615098A - Intelligent video monitoring method and system based on AI algorithm and 5G message - Google Patents
Intelligent video monitoring method and system based on AI algorithm and 5G message Download PDFInfo
- Publication number
- CN117615098A CN117615098A CN202311380698.XA CN202311380698A CN117615098A CN 117615098 A CN117615098 A CN 117615098A CN 202311380698 A CN202311380698 A CN 202311380698A CN 117615098 A CN117615098 A CN 117615098A
- Authority
- CN
- China
- Prior art keywords
- algorithm
- monitoring
- video
- message
- real time
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 87
- 238000000034 method Methods 0.000 title claims abstract description 23
- 238000000605 extraction Methods 0.000 claims abstract description 14
- 238000012545 processing Methods 0.000 claims abstract description 8
- 238000005457 optimization Methods 0.000 claims abstract description 5
- 238000004364 calculation method Methods 0.000 claims description 14
- 230000011664 signaling Effects 0.000 claims description 12
- 238000006243 chemical reaction Methods 0.000 claims description 9
- 238000004891 communication Methods 0.000 claims description 9
- 238000012549 training Methods 0.000 claims description 7
- 238000001914 filtration Methods 0.000 claims description 3
- 238000007689 inspection Methods 0.000 claims description 3
- 210000001503 joint Anatomy 0.000 claims description 3
- 230000000007 visual effect Effects 0.000 claims description 3
- 230000004044 response Effects 0.000 abstract description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 238000001514 detection method Methods 0.000 description 5
- 238000004458 analytical method Methods 0.000 description 3
- 230000006978 adaptation Effects 0.000 description 2
- 230000035945 sensitivity Effects 0.000 description 2
- 206010000117 Abnormal behaviour Diseases 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 239000008186 active pharmaceutical agent Substances 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 238000013079 data visualisation Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 238000011045 prefiltration Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/08—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/01—Conversion of standards, e.g. involving analogue television standards or digital television standards processed at pixel level
- H04N7/0135—Conversion of standards, e.g. involving analogue television standards or digital television standards processed at pixel level involving interpolation processes
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/12—Messaging; Mailboxes; Announcements
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/90—Services for handling of emergency or hazardous situations, e.g. earthquake and tsunami warning systems [ETWS]
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Multimedia (AREA)
- Computer Networks & Wireless Communication (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Health & Medical Sciences (AREA)
- Environmental & Geological Engineering (AREA)
- Public Health (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Alarm Systems (AREA)
Abstract
The invention discloses an intelligent video monitoring method and system based on an AI algorithm and 5G information, wherein a monitoring point camera video is accessed to a server of an algorithm scheduling control center; configuring a single AI algorithm or algorithm combination for the monitoring point camera according to the service scene; the method comprises the steps of collecting field videos of monitoring points in real time, setting frame extraction frequency for each camera according to a configuration algorithm, and collecting video numbers in real time according to the frame extraction frequency and streaming the video numbers to an algorithm calculation center; the algorithm center calculates the image information returned from the remote camera in real time; the beneficial effects of the invention are as follows: the AI algorithm platform is combined with the 5G message platform, and a monitored early warning picture is sent in real time, so that a worker can conveniently acquire the warning video content in time and make the most reasonable response in time, and the timeliness and the accuracy of working processing are improved; meanwhile, a new algorithm and a dynamic optimization algorithm are dynamically configured for the remote monitoring points, so that monitoring staff can monitor certain important places and edge monitoring points more conveniently and flexibly.
Description
Technical Field
The invention relates to the technical field of intelligent video monitoring, in particular to an intelligent video monitoring method and system based on an AI algorithm and 5G information.
Background
In the existing common camera monitoring scene, the common AI algorithm configuration means for camera monitoring and identification is to cure one or two or three AI algorithms in the camera terminal in advance, and after the camera acquires monitoring data, the video can be processed and identified abnormally locally. After the camera recognizes the abnormal information, on one hand, the warning information is displayed on the camera monitoring display end in real time, and on the other hand, the warning information is sent by using the short message channel to inform the staff, and the staff is used for follow-up processing.
However, the traditional short message has only text description, the short message content cannot show the early warning picture in real time, under the condition that the monitoring personnel is far away from the office position, the most accurate response is difficult to be made only by reading the text information of the early warning notice, and after the camera is installed on the site, the algorithm tuning configuration or the new algorithm issuing has great difficulty, on one hand, the personnel needs to go to the site to operate, and on the other hand, the execution efficiency is lower.
Disclosure of Invention
The invention aims to provide an intelligent video monitoring method and system based on an AI algorithm and 5G information, so as to solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions: an intelligent video monitoring method based on an AI algorithm and 5G information comprises the following steps:
accessing the video of the monitoring point camera to a server of an algorithm scheduling control center;
configuring a single AI algorithm or algorithm combination for the monitoring point camera according to the service scene;
the method comprises the steps of collecting field videos of monitoring points in real time, setting frame extraction frequency for each camera according to a configuration algorithm, and collecting video numbers in real time according to the frame extraction frequency and streaming the video numbers to an algorithm calculation center;
the algorithm center calculates the image information returned from the remote camera in real time and feeds back the calculation result to the algorithm dispatching control center;
configuring 5G information rules according to the algorithm result, and sending assembled alarm information to a mobile phone of a user;
the user checks the alarm information and monitors the video to dynamically adjust the algorithm parameters in real time.
Preferably, the video access algorithm supports the access mode of nonstandard equipment when dispatching the control center, including ONVIF, SDK and private protocol.
Preferably, the functions of the server include nonstandard equipment access, signaling flow conversion and media flow forwarding.
Preferably, the signaling flow conversion comprises up and down signaling format conversion, and is in butt joint with a Sip signaling access server to realize GB/T28181 registration, resource list acquisition cancellation and video request;
the media stream forwarding obtains the media stream through the equipment, forwards the media stream to the video distribution server according to GB/T28181, and converts the non-standard code stream of the equipment into a standard code stream supported by GB/T28181 between media stream forwarding.
Preferably, the configuration algorithm needs to collect the monitored field video in real time, adjust the monitoring range, configure the proper identification range according to the size of the feature target, and simultaneously configure the identification feature threshold parameters for the pre-filter and the post-filter.
Preferably, the calculation result includes feature coordinates of a picture frame, an image processing result, and feature information of a computer vision task result.
Preferably, the calculation results are automatically collected into a positive sample library and a negative sample library, and corresponding algorithm tuning use and other new algorithm training samples are provided.
The intelligent video monitoring system based on the AI algorithm and the 5G message comprises a monitoring module, an algorithm dispatching control center module, an AI algorithm center module, a 5G message platform and a user mobile phone end, wherein the algorithm dispatching control center module is in communication connection with the AI algorithm center module;
the monitoring module is used for collecting the monitoring point pictures in real time, extracting the frames of the field pictures, and transmitting the image information base64 back to the algorithm center;
the algorithm scheduling control center module is used for providing algorithm control for a user far end, monitoring and scheduling AI algorithm center algorithm force resources, and simultaneously carrying out dynamic algorithm configuration, threshold configuration and optimization on the monitoring camera to provide network video access capability;
the AI algorithm center module is used for providing rich visual algorithms and carrying out real-time algorithm inspection according to the returned images of the field monitoring cameras and the algorithm configured by the algorithm scheduling center; the effective positive and negative sample sets can be automatically screened out according to the checking result image, and are incorporated into a sample library to be provided for different scenes and different algorithms for algorithm training;
the 5G message platform is used for providing dynamic configuration of a 5G message template of a user, providing a 5G message sending capability interface, configuring an alarm pushing interface at the same time by the user in a dispatching control center configuration algorithm, and filtering real-time checking results of an AI algorithm center according to alarm rules to carry out alarm pushing;
the user mobile phone end is used for dynamically adjusting the 5G alarm information message receiving end, the real-time monitoring video and the algorithm parameters.
The beneficial effects achieved by the invention are as follows:
(1) The AI algorithm platform is combined with the 5G message platform, and a monitoring early warning picture is sent in real time, so that a worker can conveniently acquire warning video content in time and make the most reasonable response in time, and the timeliness and accuracy of working processing are improved; meanwhile, a new algorithm and a dynamic optimization algorithm are dynamically configured for the remote monitoring points, so that monitoring staff can monitor certain important places and edge monitoring points more conveniently and flexibly.
(2) Therefore, an intelligent video monitoring method combining an AI algorithm platform and a 5G message is required to be introduced, a camera and an AI algorithm are decoupled, video monitoring shooting is processed by the camera, and streaming and algorithm analysis are realized by the AI algorithm platform. The camera terminal does not configure a solidified algorithm any more, and the AI algorithm adaptation and identification of different scenes are realized by opening corresponding algorithm operations on the AI algorithm platform. Therefore, the utilization rate of the camera can be improved, and the flexibility and the high efficiency of algorithm adaptation are also effectively improved. Meanwhile, in combination with the pushing mode of the 5G message, when an AI identification alarm exists, the AI identification alarm is sent through the 5G message channel, so that an early warning picture for monitoring can be sent in real time, a worker can conveniently acquire the alarm video content in time, the most reasonable corresponding is timely made, and the timeliness and the accuracy of work processing are improved.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a flow chart of the method of the present invention;
fig. 2 is a network diagram of a control scheme of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1 to 2, the present invention provides a technical solution: an intelligent video monitoring method based on an AI algorithm and a 5G message comprises the steps of S11, S12, S13, S14, S15 and S16; accessing the video of the monitoring point camera to a server of an algorithm scheduling control center; configuring a single AI algorithm or algorithm combination for the monitoring point camera according to the service scene; the method comprises the steps of collecting field videos of monitoring points in real time, setting frame extraction frequency for each camera according to a configuration algorithm, and collecting video numbers in real time according to the frame extraction frequency and streaming the video numbers to an algorithm calculation center; the algorithm center calculates the image information returned from the remote camera in real time and feeds back the calculation result to the algorithm dispatching control center; configuring 5G information rules according to the algorithm result, and sending assembled alarm information to a mobile phone of a user; the user checks the alarm information and monitors the video to dynamically adjust algorithm parameters in real time to form a closed loop.
Step S11, a server of a monitoring point camera video access algorithm dispatching control center; configuring a single AI algorithm or algorithm combination for the monitoring point camera according to the service scene;
it should be noted that, the access mode of the present invention supporting non-standard equipment includes ONVIF, SDK and private protocol; the server functions include: non-standard equipment access, signaling flow conversion and media flow forwarding; the nonstandard device access supports ONVIF, SDK or device private protocol, the ONVIF, the SDK and the private protocol are three common communication and integration modes among devices in the video monitoring field, the ONVIF protocol defines a group of standard interfaces which cover functions of video, audio, metadata, control, events and the like, so that the ONVIF-compatible devices can work cooperatively in a unified monitoring system, and the SDK is a software development kit which is usually provided by a device manufacturer and is used for helping a developer to create customized application programs on a platform of the device. In the field of video monitoring, an SDK includes a series of APIs and development tools that can be used to access, control and integrate vendor-specific monitoring devices. By using the SDK, a developer can build an application program in a customized manner using the functions of the device; the signaling flow conversion comprises up and down signaling format conversion, and is in butt joint with a Sip signaling access server to realize GB/T28181 registration, resource list acquisition cancellation, video request and the like; the media stream forwarding is carried out to obtain a media stream through equipment, the media stream is forwarded to a video distribution server according to GB/T28181, and a non-standard code stream of the equipment is converted into a standard code stream supported by GB/T28181 between the media stream forwarding;
step S12, configuring a single AI algorithm or algorithm combination for the monitoring point camera according to the service scene;
it should be noted that, the business requirements of the present invention include object detection, personnel counting, behavior analysis, intrusion detection, and when selecting a suitable AI algorithm, one or more suitable AI algorithms are selected according to the business requirements; for example, if a face needs to be detected, a face recognition algorithm may be selected; if abnormal behavior needs to be detected, a behavior analysis algorithm can be selected; according to the selected algorithm, the monitoring point camera is properly configured; the method comprises the steps of setting the position, the view angle, the focal length, the resolution and the like of a camera so as to ensure the optimal algorithm performance; then setting a camera to start to collect video stream or image data; ensuring that the camera can capture the interesting area and the interesting target; deploying selected AI algorithms to ensure that they can analyze the data collected by the camera; wherein a dedicated AI server or edge device is required to run the algorithm; adjusting algorithm parameters to optimize performance; the method comprises the steps of setting parameters such as detection threshold value, sensitivity and the like so as to reduce false alarms or ensure high detection rate; setting up a system to analyze the output result of the algorithm; the performance of the function monitoring algorithm including alarm triggering, event log recording, data visualization and the like ensures that the system can stably run under different conditions; timely maintaining and updating an algorithm to adapt to new scenes and requirements;
s13, acquiring field videos of the monitoring points in real time, setting frame extraction frequency for each camera according to a configuration algorithm, and acquiring video data in real time according to the frame extraction frequency and streaming the video data to an algorithm calculation center;
it should be noted that, the present invention collects the monitored field video in real time, adjusts the monitoring range, configures the proper identification range according to the size of the feature target, configures the identification feature threshold parameters for the front and rear filters, and sets the frame extraction frequency for each camera according to the configuration algorithm, for example, the frame extraction frequency for the scene configuration with high real-time requirement can be 5S/time, and the frame extraction frequency for the other scenes with low real-time requirement can be 30S/time; sending the assembled alarm information to the mobile phone of the user according to the configuration 5G information rule;
step S14, the algorithm center calculates the image information returned from the remote camera in real time and feeds back the calculation result to the algorithm dispatching control center;
the invention starts the algorithm task, the algorithm center calculates the image information (base 64 processing) returned from the remote camera in real time, and the feature information including feature coordinates, results and the like is obtained through calculation; finally, the calculation result is returned to the algorithm dispatching control center; the algorithm center reasonably utilizes the GPU computing resources according to the resource scheduling rules, and fully utilizes the existing algorithm tasks to efficiently allocate the computing resources; meanwhile, the calculation result is automatically collected into a positive sample library and a negative sample library, and the algorithm is optimized and used, and other new algorithm training samples are provided;
step S15, configuring a 5G information rule according to an algorithm result, and sending assembled alarm information to a mobile phone of a user;
the user configures the message sending template through the 5G message platform, the algorithm scheduling control center receives and filters the algorithm result, packages and pushes the alarm information to the mobile phone of the user, meets the requirement that the user views the alarm result information and the picture outdoors and remotely in real time, and adjusts the algorithm parameters in real time by combining the field condition and the actual requirement (supporting real-time video viewing); supporting a user to directly configure a new algorithm, algorithm tuning, 5G message template configuration and the like at a mobile phone end to form intelligent monitoring closed-loop control;
s16, a user checks alarm information and monitors video to dynamically adjust algorithm parameters in real time to form a closed loop;
it should be noted that, the present invention can record and store the alarm event, including the information of event type, timestamp, camera position, etc., and set up notification mechanism to notify relevant personnel in time when the alarm event occurs, which may include e-mail, short message, mobile application notification, etc.; allowing a user to classify and filter alarm events according to the alarm types, time ranges and other conditions so as to easily browse and analyze alarm data; allowing an administrator or authorized user to adjust algorithm parameters in real time; including detection threshold, sensitivity, zone set-up, etc.; ensuring that the system can receive and apply parameter adjustment requests from users and then update algorithm configurations in real time; setting authority and role management to ensure that only authorized users can perform parameter adjustment and avoid misoperation; when the user adjusts the parameters, the system should be able to provide real-time feedback to help the user understand how the parameter adjustment affects the performance of the algorithm; and allows the user to save the parameter configuration in order to revert to a particular configuration when needed; displaying the real-time monitoring video stream on the interface so that a user can intuitively observe the current situation; charts and graphics are provided to visually display the effects of monitoring data, alarm trends, and parameter adjustments.
The intelligent video monitoring system based on the AI algorithm and the 5G message comprises a monitoring module, an algorithm dispatching control center module, an AI algorithm center module, a 5G message platform and a user mobile phone end, wherein the algorithm dispatching control center module is in communication connection with the AI algorithm center module; the monitoring module is used for collecting the monitoring point pictures in real time, extracting the frames of the field pictures, and transmitting the image information base64 back to the algorithm center; the algorithm scheduling control center module is used for providing algorithm control for a user far end, monitoring and scheduling AI algorithm center algorithm force resources, and simultaneously carrying out dynamic algorithm configuration, threshold configuration and optimization on the monitoring camera to provide network video access capability; the AI algorithm center module is used for providing rich visual algorithms and carrying out real-time algorithm inspection according to the returned images of the field monitoring cameras and the algorithm configured by the algorithm scheduling center; the effective positive and negative sample sets can be automatically screened out according to the checking result image, and are incorporated into a sample library to be provided for different scenes and different algorithms for algorithm training; the 5G message platform is used for providing dynamic configuration of a 5G message template of a user, providing a 5G message sending capability interface, configuring an alarm pushing interface at the same time by the user in a dispatching control center configuration algorithm, and filtering real-time checking results of an AI algorithm center according to alarm rules to carry out alarm pushing; the user mobile phone end is used for dynamically adjusting the 5G alarm information message receiving end, the real-time monitoring video and the algorithm parameters.
Examples:
the monitoring module is a monitoring camera, a single AI algorithm or an algorithm combination is configured for the monitoring camera by the algorithm scheduling control center module according to the service scene requirement, the monitoring range is adjusted, a proper identification range is configured according to the size of a characteristic target, meanwhile, a characteristic threshold parameter is configured and identified for a front filter and a rear filter, a frame extraction frequency is set for each camera according to the configuration algorithm, an algorithm task is started by the AI algorithm center module, image information (base 64 processing) returned from a remote camera is calculated in real time by the algorithm center module, and the characteristic information including characteristic coordinates, results and the like is obtained through calculation; finally, the calculation result is fed back to the algorithm dispatching control center module; the AI algorithm center module reasonably utilizes the GPU computing resources according to the resource scheduling rules, and fully utilizes the existing algorithm tasks to efficiently allocate the computing resources; meanwhile, the calculation result is automatically collected into a positive sample library and a negative sample library, and the algorithm is optimized and used, and other new algorithm training samples are provided; and sending the assembled alarm information to the mobile phone of the user according to the configuration 5G information rule.
In the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "configured," "connected," "secured," "screwed," and the like are to be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; either directly or indirectly through intermediaries, or in communication with each other or in interaction with each other, unless explicitly defined otherwise, the meaning of the terms described above in this application will be understood by those of ordinary skill in the art in view of the specific circumstances.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. An intelligent video monitoring method based on an AI algorithm and 5G information is characterized in that: the method comprises the following steps:
accessing the video of the monitoring point camera to a server of an algorithm scheduling control center;
configuring a single AI algorithm or algorithm combination for the monitoring point camera according to the service scene;
the method comprises the steps of collecting field videos of monitoring points in real time, setting frame extraction frequency for each camera according to a configuration algorithm, and collecting video numbers in real time according to the frame extraction frequency and streaming the video numbers to an algorithm calculation center;
the algorithm center calculates the image information returned from the remote camera in real time and feeds back the calculation result to the algorithm dispatching control center;
configuring 5G information rules according to the algorithm result, and sending assembled alarm information to a mobile phone of a user;
the user checks the alarm information and monitors the video to dynamically adjust the algorithm parameters in real time.
2. The intelligent video monitoring method based on the AI algorithm and the 5G message as set forth in claim 1, wherein: and the video access algorithm supports the access mode of nonstandard equipment when dispatching the control center, and comprises ONVIF, SDK and private protocol.
3. The intelligent video monitoring method based on the AI algorithm and the 5G message as set forth in claim 1, wherein: the functions of the server include nonstandard equipment access, signaling flow conversion and media flow forwarding.
4. The intelligent video monitoring method based on the AI algorithm and the 5G message as set forth in claim 3, wherein:
the signaling flow conversion comprises up and down signaling format conversion, and is in butt joint with a Sip signaling access server to realize GB/T28181 registration, resource list acquisition cancellation and video request;
the media stream forwarding obtains the media stream through the equipment, forwards the media stream to the video distribution server according to GB/T28181, and converts the non-standard code stream of the equipment into a standard code stream supported by GB/T28181 between media stream forwarding.
5. The intelligent video monitoring method based on the AI algorithm and the 5G message as set forth in claim 1, wherein: the on-site video of monitoring needs to be collected in real time during the configuration algorithm, the monitoring range is adjusted, the proper identification range is configured according to the size of the characteristic target, and meanwhile, the characteristic threshold parameters are configured and identified for the front filter and the rear filter.
6. The intelligent video monitoring method based on the AI algorithm and the 5G message as set forth in claim 1, wherein: the calculation result comprises feature coordinates of the picture frame, an image processing result and feature information of a computer vision task result.
7. The intelligent video monitoring method based on the AI algorithm and the 5G message as set forth in claim 1, wherein: and the calculation result is automatically collected into a positive sample library and a negative sample library, and corresponding algorithm tuning use and other new algorithm training samples are provided.
8. An intelligent video monitoring system based on an AI algorithm and 5G information comprises a monitoring module, an algorithm scheduling control center module, an AI algorithm center module, a 5G information platform and a user mobile phone end, and is characterized in that: the algorithm dispatching control center module is in communication connection with the AI algorithm center module, the algorithm dispatching control center module and the AI algorithm center module are both in communication connection with the monitoring module, the AI algorithm center module is in communication connection with the 5G message platform, the 5G message platform is in communication connection with the user mobile phone end, and the user mobile phone end is in communication connection with the algorithm dispatching control center module;
the monitoring module is used for collecting the monitoring point pictures in real time, extracting the frames of the field pictures, and transmitting the image information base64 back to the algorithm center;
the algorithm scheduling control center module is used for providing algorithm control for a user far end, monitoring and scheduling AI algorithm center algorithm force resources, and simultaneously carrying out dynamic algorithm configuration, threshold configuration and optimization on the monitoring camera to provide network video access capability;
the AI algorithm center module is used for providing rich visual algorithms and carrying out real-time algorithm inspection according to the returned images of the field monitoring cameras and the algorithm configured by the algorithm scheduling center; the effective positive and negative sample sets can be automatically screened out according to the checking result image, and are incorporated into a sample library to be provided for different scenes and different algorithms for algorithm training;
the 5G message platform is used for providing dynamic configuration of a 5G message template of a user, providing a 5G message sending capability interface, configuring an alarm pushing interface at the same time by the user in a dispatching control center configuration algorithm, and filtering real-time checking results of an AI algorithm center according to alarm rules to carry out alarm pushing;
the user mobile phone end is used for dynamically adjusting the 5G alarm information message receiving end, the real-time monitoring video and the algorithm parameters.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311380698.XA CN117615098A (en) | 2023-10-24 | 2023-10-24 | Intelligent video monitoring method and system based on AI algorithm and 5G message |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311380698.XA CN117615098A (en) | 2023-10-24 | 2023-10-24 | Intelligent video monitoring method and system based on AI algorithm and 5G message |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117615098A true CN117615098A (en) | 2024-02-27 |
Family
ID=89950491
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311380698.XA Pending CN117615098A (en) | 2023-10-24 | 2023-10-24 | Intelligent video monitoring method and system based on AI algorithm and 5G message |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117615098A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118646739A (en) * | 2024-08-14 | 2024-09-13 | 天翼视联科技有限公司 | Communication method of video monitoring terminal, electronic device and storage medium |
-
2023
- 2023-10-24 CN CN202311380698.XA patent/CN117615098A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118646739A (en) * | 2024-08-14 | 2024-09-13 | 天翼视联科技有限公司 | Communication method of video monitoring terminal, electronic device and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP2688296B1 (en) | Video monitoring system and method | |
| US20220215748A1 (en) | Automated camera response in a surveillance architecture | |
| US8159538B2 (en) | Monitoring apparatus, filter calibration method, and filter calibration program | |
| US20110190952A1 (en) | Method and System for an Integrated Intelligent Building | |
| CN110705482A (en) | Personnel behavior alarm prompt system based on video AI intelligent analysis | |
| CN101764998A (en) | Alarm interlocking method in network video monitoring system and network video monitoring system | |
| CN101883131A (en) | Environmental data collector | |
| CN110555964A (en) | Multi-data fusion key area early warning system and method | |
| CN117615098A (en) | Intelligent video monitoring method and system based on AI algorithm and 5G message | |
| CN109348176A (en) | It is integrated with the wind power generating set supervisory control and data acqui sition system of video system | |
| CN103152552A (en) | Law enforcement supervision system | |
| CN104767969B (en) | Level crossing operation intelligence safety monitoring system and method | |
| TW201315234A (en) | System and method for video surveillance | |
| CN114490053A (en) | Context awareness strategy recommendation system based on edge calculation and supervised learning method | |
| KR20150069923A (en) | System for processing data | |
| CN112183945B (en) | Station control method, terminal, station control system and storage medium | |
| CN113660393A (en) | Service window double-recording system | |
| CN115665682A (en) | Wireless data acquisition and video monitoring system and method based on 5G Internet of things | |
| CN115733957A (en) | Navigation equipment alarm processing method based on image recognition | |
| CN113660468A (en) | Mining no dead angle video combination monitored control system | |
| CN116778370A (en) | Event processing method, device, equipment, storage medium and program product | |
| CN112866332A (en) | System, method and device for realizing emergency recognition and early warning based on cloud edge fusion, processor and storage medium thereof | |
| CN112542031A (en) | Multi-protocol alarm condition automatic conversion alarm receiving method and system | |
| CN115379169B (en) | Inspection monitoring method and system | |
| CN110769199A (en) | Behavior analysis early warning system based on video image |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |