CN102555982B - Safety belt wearing identification method and device based on machine vision - Google Patents
Safety belt wearing identification method and device based on machine vision Download PDFInfo
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Abstract
The invention discloses a safety belt wearing identification method and device based on machine vision. In the method, a CCD camera acquires an image of safety belt wearing state of a passenger, a digital signal processor (DSP) works out three characteristic point coordinates of the safety belt by the algorithm programmed in the DSP in advance, and the safety belt wearing state of a passenger is determined by the number of characteristic point coordinates of the safety belt. When the number of characteristic point coordinates of the safety belt is smaller than 3, the DSP gives an alarming instruction to an audible and visual alarm to remind the passenger to buckle up the safety belt in a correct way. When the passenger correctly wears the safety belt, the DSP detects the three characteristic point coordinates of the safety belt and the audible and visual alarm stops alarming. The invention can not only identify whether a passenger is wearing a safety belt, but also determine the wearing state of the safety belt.
Description
Technical field
The invention belongs to field of automobile safety, relate in particular to a kind of method and device based on Machine Vision Recognition seatbelt wearing state.
Background technology
Along with the rapid increase of high speed development and the automobile pollution of arteries of communication, so that automotive safety becomes the most one of problems of concern of car manufactures and customer.Safety strap remains one of topmost passive protective device in traffic accident, and is acknowledged as actv. passive protection measure in the automobile.American National highway traffic safety Public Roads Administration (NHTSA) is sampled on crashproof data system (CDS) basis analyzing U.S.'s Study on mortality reporting system (FARS) and national self-propelled vehicle, 45% death that estimating correctly uses of seat belts can reduce the automobile front-row occupant accident and occur the time and 60% middle severe injury risk.Yet, there is investigation to show that for various reasons, the rate of wearing of safety strap allows of no optimist, the occupant not situation of wear safety belt or false wear safety belt often occurs.Therefore, develop the safety strap prompt system and study corresponding safety strap recognition methods, to the protection occupant, reduce death rate of accident and be significant.
At present, the domestic and international main method of inspection by buckle-type of seat belt reminder systems, for example: US Patent No. 6239695B1 has narrated a kind of safety strap warning in the mode of example, only have and to confirm automatically just that after buckle of safety belt inserts the locking of safety strap deck chaufeur fastens seat belts, but in the safety strap use procedure, still exist the vacation of escaping the safety strap warning to wear the generation of behavior, be inserted into draw-in groove such as directly being sitting on the seat of having fastened seat belts or buying independent bayonet socket; Patent CN201501381U and patent CN201895647U improve the problems referred to above, can address the above problem, but exist safety strap are carried out the transformation problem, realize on the engineering that difficulty is larger; Patent CN1822971A has proposed the employing ccd video camera and has obtained occupant's status image, and judge whether wear safety belt of occupant in the mode that safety strap is coated gauge point, but when the occupant is sitting on the seat of having fastened seat belts, or in order to escape the detection of the method, shoulder belt is hung over the front, and the method is just worn to no effect occupant's vacation.
Summary of the invention
The object of the invention is to overcome the deficiency that above-mentioned warning device exists, a kind of safety belt wearing identification method based on machine vision and device are provided, seatbelt wearing state to the occupant is identified, and prevents that the generation of wear safety belt not or false wear safety belt situation from appearring in the occupant.
The technical scheme that the present invention is based on the wearing safety belt means of identification employing of machine vision is: be comprised of dsp processor, light sensor, light compensation lamp, ccd video camera and combined aural and visual alarm, dsp processor connects respectively light sensor, light compensation lamp, ccd video camera and combined aural and visual alarm with different ports, concatenated images capture card between ccd video camera and the dsp processor; Described light sensor detects the light environment in compartment; Described light compensation lamp is arranged in occupant's front upper place, and the light environment in the compartment is compensated; Described ccd video camera is fixed in interior, gathers the information of safety strap, by image pick-up card image is transported to dsp processor.
The technical scheme of recognition methods that the present invention is based on the wearing safety belt means of identification of machine vision is after adopting following steps: A, vehicle launch, by light sensor the compartment light environment is detected, in the time of a little less than detecting the compartment light environment, dsp processor sends instruction lights it to the light compensation lamp, otherwise the light compensation lamp is not lighted; B, ccd video camera gather the image of occupant's seatbelt wearing state, and dsp processor is processed image, obtain 3 unique point coordinates of safety strap by enrolling in advance wherein algorithm; The number of C, the unique point coordinate by safety strap is judged occupant's seatbelt wearing state, when unique point coordinate number is 3, judges the correct wear safety belt of occupant; When unique point coordinate number was 2, what the judgement occupant wore was waistband; When unique point coordinate number is 1, judge that the occupant is sitting on the seat of having fastened seat belts and the shoulder belt of safety strap hung over it; When unique point coordinate number was 0, the judgement occupant did not have wear safety belt or is sitting on the seat of having fastened seat belts; D, when the unique point coordinate number of safety strap less than 3 the time, dsp processor sends alarm command to combined aural and visual alarm, reminds the occupant correctly to fasten seat belts; When the correct wear safety belt of occupant, dsp processor detects 3 unique point coordinates of safety strap, combined aural and visual alarm stop alarm.
The present invention compares with existing sensor type detection mode, can not only identify whether wear safety belt of occupant, simultaneously, can also judge the state of seatbelt wearing.If respectively fatigue detecting algorithm and occupant's figure and features characteristics algorithm are read in dsp processor, by employed device among the present invention, can also be respectively applied to occupant's fatigue state is detected and develop more intelligent safety air bag.
Description of drawings
Fig. 1 is apparatus structure scheme drawing of the present invention;
Fig. 2 is the diagram of circuit of identification occupant wear safety belt;
Accompanying drawing acceptance of the bid score state as follows: the 1.DSP treater; 2. light sensor; 3. light compensation lamp; 4.CCD pick up camera; 5. image pick-up card; 6. combined aural and visual alarm; 7. safety strap; 8. occupant; 9. shoulder belt; 10. waistband; 11. seat.
The specific embodiment
Be the technical measures that make it and take for further setting forth the present invention, be described in detail as follows below in conjunction with drawings and the embodiments.
Shown in Figure 1, apparatus of the present invention mainly are comprised of dsp processor 1, light sensor 2, light compensation lamp 3, ccd video camera 4, combined aural and visual alarm 6.Dsp processor 1 connects respectively light sensor 2, light compensation lamp 3, ccd video camera 4 and combined aural and visual alarm 6 with different ports, concatenated images capture card 5 between ccd video camera 4 and the dsp processor 1.
Light compensation lamp 3 is used for the light environment in the compartment is compensated, and is arranged in occupant 8 front upper place as far as possible, and in order to save cost, light supply lamp 3 can use the car light reading lamp to replace.
Combined aural and visual alarm 6 can adopt the mode output alarm of optical signal or acoustical signal.
Safety strap 7 is made of shoulder belt 9 and waistband 10.The state of wearing of safety strap 7 refers to the situation that occupant 8 uses of seat belts, and the situation of the mal wear safety belt 7 of at present occupant's 8 existence mainly comprises: the one, do not fasten the safety belt 7; The 2nd, independent bayonet socket is inserted in the draw-in groove; The 3rd, directly be sitting on 7 the seat 11 of having fastened seat belts; The 4th, be sitting on 7 the seat 11 of fastening seat belts, and shoulder belt 9 is hung over the front, to hide the inspection of safety band alarm device and traffic constable.Occupant 8 directly is sitting on 7 the seat 11 of having fastened seat belts, and the situation that waistband 10 hangs over waist can not occured in reality, but still can identify it by the present invention, therefore can be used for the detection to rear row's middle passenger two-point belt.
Shown in Figure 2, in order to reach the purpose by the state of wearing of Machine Vision Recognition safety strap 7, the present invention realizes by the following method:
Behind vehicle launch, the ccd video camera 4 that is fixed in interior gathers occupant 8 image.For guaranteeing that ccd video camera 4 collects clearly occupant's image, the compartment light environment is detected before ccd video camera 4 begins to gather by dsp processor 1 control light sensor 2, whether decision light compensation lamp 3 is lighted when ccd video camera 4 gathers occupant's image is carried out light filling, when light sensor 2 detects the compartment light environment when weak, dsp processor 1 can send instruction makes it light a moment to light compensation lamp 3, with the environment around illuminating, guaranteeing that the compartment has under enough light environments, the ccd video camera 4 that is installed in the car collects the clearly image of occupant's seatbelt wearing state, makes this system have enough comformabilitys.
Occupant's image that ccd video camera 4 gathers is transported to dsp processor 1 by image pick-up card 5, and subsequently, 1 pair of occupant's image of dsp processor is processed, and comprises two processes of pretreatment and post-processing.Preprocessing process comprises that again smoothing denoising and cromogram are converted into two steps of gray-scale map; The noise that suppresses to occur on the image by smoothing denoising is converted by gray-scale map and reduces image color information, shortens the time of post-processing work, improves accuracy.Last handling process comprises image binaryzation and two steps of integral projection, extracts the unique point coordinate of safety strap 7; The purpose of image binaryzation is to remain with effective information, and the image of safety strap 7 is separated from occupant 8 image.The key issue of binary conversion treatment is choosing of Gray-scale value, the safety strap color of considering present entrucking has two kinds of black and the colours of skin, and color is relatively fixing, therefore can be in advance determine threshold values for the gray value of the color of safety strap in the image 7, operate by binaryzation, occupant 8 image is converted into artwork master, and the safety strap shape presents with white among the figure, and remaining is black.Therefore, if occupant 8 has worn safety strap 7, safety strap 7 can appear in the binary image with white so, if there is not wear safety belt 7, after the binaryzation, image becomes all black.The purpose that binary image is carried out gray integration is to try to achieve the unique point coordinate of safety strap 7, make the dsp processor 1 can be by unique point coordinate identification occupant wear safety belt 7 whether, and judge occupant 8 seatbelt wearing state by the number of unique point coordinate.
The unique point coordinate of safety strap 7 be 1 couple of occupant's 8 of dsp processor image process obtain image integration drop shadow curve after, in conjunction with the priori of safety strap 7 features, obtain that the coordinate of the coordinate of integral projection curve and coordinate axle intersection point and integral projection curve peak point obtains.If occupant's 8 correct wear safety belts, the dsp processor 1 unique point coordinate number of trying to achieve by above-mentioned algorithm is 3 so; If what the occupant wore is waistband (two-point belt), the number of the unique point of trying to achieve by above-mentioned algorithm so is 2; If occupant 8 is sitting on 7 the seat of fastening seat belts, but with it shoulder belt hung over, to hide the inspection of safety band alarm device and traffic constable, the number of the unique point of trying to achieve by above-mentioned algorithm so is 1; If the occupant does not have wear safety belt 7 or is sitting on 7 the seat of fastening seat belts, the dsp processor 1 unique point coordinate number of trying to achieve by above-mentioned algorithm is 0 so.Image through after dsp processor 1 processing feature of safety strap 7 can be extracted, and the integral projection curve of its feature presents definite shape.Dsp processor 1 can be obtained by enrolling in advance wherein algorithm the coordinate of the unique point of integral projection curve subsequently, namely obtains the unique point coordinate of safety strap 7.
When occupant 8 wears safety strap 7 when putting in place, dsp processor 1 can be in the hope of three unique point coordinates of safety strap 7; When occupant 8 does not fasten the safety belt 7 or when directly being sitting on 7 the seat 11 of having fastened seat belts, the number that dsp processor 1 is tried to achieve the safety strap unique point is zero; When occupant 8 only with shoulder belt 9 during across the front, dsp processor 1 is tried to achieve a unique point coordinate; Therefore, for the detection of safety strap 7, only have as occupant 8 it is worn when putting in place, just can try to achieve three unique points.
The number of the unique point coordinate of dsp processor 1 by trying to achieve safety strap 7 is judged whether safety strap 7 is worn and is put in place, and sends corresponding instruction to combined aural and visual alarm 6.Combined aural and visual alarm 6 determines whether to report to the police to remind the correct wear safety belt of occupant according to the instruction that dsp processor 1 sends.If the unique point number of the safety strap of trying to achieve 7 is less than three, dsp processor 1 can send alarm command to combined aural and visual alarm 6, reminds occupant 8 correctly to fasten seat belts 7, and simultaneously, ccd video camera 4 can continuously gather occupant 8 image.After occupant 8 heard alerting signal and correct wear safety belt 7, dsp processor 1 can detect three unique points, stops subsequently sending alarm command to combined aural and visual alarm 6 combined aural and visual alarm 6 stop alarms.Otherwise combined aural and visual alarm 6 can continue warning reminding occupant 8 and fasten seat belts 7.
Claims (3)
1. safety belt wearing identification method based on machine vision, employing is based on the wearing safety belt means of identification of machine vision, described wearing safety belt means of identification based on machine vision is comprised of dsp processor, light sensor, light compensation lamp, ccd video camera and combined aural and visual alarm, dsp processor connects respectively light sensor, light compensation lamp, ccd video camera and combined aural and visual alarm with different ports, concatenated images capture card between ccd video camera and the dsp processor; Described light sensor detects the light environment in compartment; Described light compensation lamp is arranged in occupant's front upper place, and the light environment in the compartment is compensated; Described ccd video camera is fixed in interior, gathers the information of safety strap, by image pick-up card image is transported to dsp processor, it is characterized in that adopting following steps:
Behind A, the vehicle launch, by light sensor the compartment light environment is detected, in the time of a little less than detecting the compartment light environment, dsp processor sends instruction lights it to the light compensation lamp, otherwise the light compensation lamp is not lighted;
B, ccd video camera gather the image of occupant's seatbelt wearing state, and dsp processor is processed image, obtain 3 unique point coordinates of safety strap by enrolling in advance wherein algorithm;
The number of C, the unique point coordinate by safety strap is judged occupant's seatbelt wearing state, when unique point coordinate number is 3, judges the correct wear safety belt of occupant; When unique point coordinate number was 2, what the judgement occupant wore was waistband; When unique point coordinate number is 1, judge that the occupant is sitting on the seat of having fastened seat belts and the shoulder belt of safety strap hung over it; When unique point coordinate number was 0, the judgement occupant did not have wear safety belt or is sitting on the seat of having fastened seat belts;
D, when the unique point coordinate number of safety strap less than 3 the time, dsp processor sends alarm command to combined aural and visual alarm, reminds the occupant correctly to fasten seat belts; When the correct wear safety belt of occupant, dsp processor detects 3 unique point coordinates of safety strap, combined aural and visual alarm stop alarm.
2. recognition methods according to claim 1, it is characterized in that: described dsp processor is processed image and is comprised pretreatment and two processes of post-processing, preprocessing process comprises that smoothing denoising and cromogram are converted into gray-scale map, and last handling process comprises image binaryzation and integral projection.
3. recognition methods according to claim 1, it is characterized in that: the unique point coordinate of described safety strap be dsp processor occupant's image is processed obtain image integration drop shadow curve after, in conjunction with the priori of safety strap feature, obtain that the coordinate of the coordinate of integral projection curve and coordinate axle intersection point and integral projection curve peak point obtains.
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| DE102012223147A1 (en) * | 2012-12-14 | 2014-07-03 | Robert Bosch Gmbh | Method for recognizing abusive use of occupant protection belt of e.g. commercial vehicle, involves evaluating time sequences of states of seat harness release signal concerning states of seat occupancy signal and/or door lock signal |
| CN103552538B (en) * | 2013-11-08 | 2016-08-24 | 北京汽车股份有限公司 | Safe belt detection method and device |
| CN104270693A (en) * | 2014-09-28 | 2015-01-07 | 电子科技大学 | Virtual earphone |
| RU2716719C2 (en) * | 2015-06-02 | 2020-03-16 | ФОРД ГЛОУБАЛ ТЕКНОЛОДЖИЗ, ЭлЭлСи | Vehicle backhaul belt assembly (embodiments) |
| CN105109448A (en) * | 2015-08-26 | 2015-12-02 | 安徽工程大学 | System for detecting whether automobile safety belt is worn correctly and detection method of system |
| CN105946786B (en) * | 2016-05-06 | 2018-12-07 | 厦门理工学院 | A kind of detection method, system for prompting and control method that safety belt specification is worn |
| DE102016122806A1 (en) * | 2016-11-25 | 2018-05-30 | Audi Ag | Device for detecting a proper application status of a safety belt |
| CN110751074A (en) * | 2019-10-12 | 2020-02-04 | 上海眼控科技股份有限公司 | Method, system and terminal for judging interior refitting of carriage and refitting judging method |
| US12005855B2 (en) * | 2020-06-18 | 2024-06-11 | Nvidia Corporation | Machine learning-based seatbelt detection and usage recognition using fiducial marking |
| CN112016502B (en) * | 2020-09-04 | 2023-12-26 | 平安国际智慧城市科技股份有限公司 | Safety belt detection method, safety belt detection device, computer equipment and storage medium |
| CN113139473A (en) * | 2021-04-26 | 2021-07-20 | 北京市商汤科技开发有限公司 | Safety belt detection method, device, equipment and medium |
| CN115071633A (en) * | 2022-06-29 | 2022-09-20 | 中国第一汽车股份有限公司 | Safety belt control method and system |
| CN115187967B (en) * | 2022-09-13 | 2023-02-17 | 苏州魔视智能科技有限公司 | Detection method, training method, electronic device and readable storage medium |
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| US20040220705A1 (en) * | 2003-03-13 | 2004-11-04 | Otman Basir | Visual classification and posture estimation of multiple vehicle occupants |
| EP1498328A1 (en) * | 2003-07-15 | 2005-01-19 | IEE International Electronics & Engineering S.A.R.L. | Safety belt warning device |
| JP2007022401A (en) * | 2005-07-19 | 2007-02-01 | Takata Corp | Occupant information detection system, occupant restraint device and vehicle |
| JP2007218626A (en) * | 2006-02-14 | 2007-08-30 | Takata Corp | Object detecting system, operation device control system, vehicle |
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| JP2008261749A (en) * | 2007-04-12 | 2008-10-30 | Takata Corp | Occupant detection device, actuator control system, seat belt system, and vehicle |
| JP2008269496A (en) * | 2007-04-24 | 2008-11-06 | Takata Corp | Occupant information detection system, occupant restraint system and vehicle |
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| CN202518219U (en) * | 2012-01-20 | 2012-11-07 | 江苏大学 | Safety belt wearing identification device based on machine vision |
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Denomination of invention: Safety belt wearing recognition method and device based on machine vision Effective date of registration: 20220520 Granted publication date: 20131023 Pledgee: Chongqing Branch of China Everbright Bank Co.,Ltd. Pledgor: Chongqing Wingshengda Technology Co.,Ltd. Registration number: Y2022500000028 |
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Denomination of invention: Method and device for recognizing seat belt wearing based on machine vision Effective date of registration: 20230809 Granted publication date: 20131023 Pledgee: Chongqing Branch of China Everbright Bank Co.,Ltd. Pledgor: BOLAA NETWORK Co.,Ltd.|Chongqing Wingshengda Technology Co.,Ltd. Registration number: Y2023500000055 |