CN105469035A - Driver's bad driving behavior detection system based on binocular video analysis - Google Patents
Driver's bad driving behavior detection system based on binocular video analysis Download PDFInfo
- Publication number
- CN105469035A CN105469035A CN201510793571.XA CN201510793571A CN105469035A CN 105469035 A CN105469035 A CN 105469035A CN 201510793571 A CN201510793571 A CN 201510793571A CN 105469035 A CN105469035 A CN 105469035A
- Authority
- CN
- China
- Prior art keywords
- module
- driver
- information
- video
- bad
- 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
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/59—Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
- G06V20/597—Recognising the driver's state or behaviour, e.g. attention or drowsiness
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/174—Facial expression recognition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Human Computer Interaction (AREA)
- Ophthalmology & Optometry (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention relates to a driver's bad driving behavior detection system based on binocular video analysis, and belongs to the technical field of automobile driver's behavior analysis. The detection system comprises a video collection module I, a video collection module II, a driver information acquisition module, an embedded data analysis module, an alarm prompt module, an information display module, a wireless communication module, and a data storage and analysis server module. The system detects bad driving behaviors based on dual-camera data and is highly adaptable to the change of illumination and background, and the accuracy of detection is improved. Bad behaviors are stored, analyzed, counted and queried by a server through centralized management, and bad driving behavior information is integrated in the time dimension. With the system, the alarm can be raised for bad behaviors of drivers in real time and accurately, and driver management and examination are facilitated.
Description
Technical field
The invention belongs to driver's behavioral analysis technology field, relate to a kind of driver's bad steering behavioral value system analyzed based on binocular video.
Background technology
Along with the development of society, automobile pollution is growing, and thing followed vehicle traffic accident is also in rising trend.Related data shows, in road traffic accident at home, the accident quantity that the human factor of driver causes accounts for more than 70% of sum, becomes the primary factor of traffic safety.Driver lacks awareness of safety, drives absent minded, fatigue driving, make a phone call, smoke, eat, with the important component part of bad steering behavior the becomes human factor such as people talks, the moment threatens the traffic safety of vehicle.Therefore, effective restricted mechanism is carried out to the bad steering behavior of driver, just can reduce the human factor risk of driver, improve the security of driving, significant to guarantee traffic safety.
At present two kinds of methods are divided into the bad behavior examination and analysb of driver: one monitors vehicle brake, throttle and bearing circle etc., report to the police when having larger change suddenly, this kind of method equipment is installed complicated, and warning relatively lags behind, driver when occurring that reports to the police operates often beyond normal range; Another is the methods of video analyses based on computer vision, is analyzed the driving behavior of driver by contactless mode.Authorization Notice No. CN102263937B patent document discloses the driver behavior monitoring device and method for supervising that detect based on video, whether the document judges driving behavior in violation of rules and regulations by the action detecting driver's direction of operating dish, this method is only analyzed steering information, comparatively unilateral, the driving condition of driver can not be reflected comprehensively; Authorization Notice No. is a kind of driver's bad steering behavior that patent document discloses more equipment of CN202939770U, the document carries out driving behavior analysis by the mode of template matches, the method needs to gather the various normal driving motion images of driver in advance, complicated operation, and template matching results accuracy is not high, easily be subject to the environmental impacts such as ambient light photograph, fail to report, rate of false alarm is high.
Two shortcomings below existing method ubiquity: one is utilize single camera to obtain video image, due to the restriction of installation environment in car, can not obtain driver's image information all sidedly well, and single camera is to illumination and environmental change sensitivity; Two is only merely carry out reporting to the police to the real-time driving behavior of driver and point out, effective long-term Supervision and examination is not formed to driver, statistical the habitual bad behavior of driver can not be separated out, the bad steering behavior of driver can not be fundamentally guided and correct.
Summary of the invention
In view of this, the object of the present invention is to provide a kind of driver's bad steering behavioral value system analyzed based on binocular video, gather the left and right face-image of driver respectively by dual camera, whether comprehensive descision driver has bad steering behavior in driving way; Send bad behavior information to back-end data inventory analysis server by wireless network simultaneously, carry out real-time analysis, classification stores, statistical query function is provided, to form the long-term Supervision and examination to driver, and analyze the habitual bad behavior of driver, carry out autotelic guiding and correction.
For achieving the above object, the invention provides following technical scheme:
Based on driver's bad steering behavioral value system that binocular video is analyzed, described detection system comprises video acquisition module, driver information acquisition module, information display module, alarm module, wireless communication module, embedded data analysis module and data inventory analysis server module; Described embedded data analysis module is connected with video acquisition module, driver information acquisition module, alarm module, information display module and wireless communication module respectively; Described wireless communication module is connected with data inventory analysis server by cordless communication network;
Described video acquisition module is for gathering face's video image of driver, described driver information acquisition module is for obtaining the personal information of driver, described embedded data analysis module is used for carrying out analysis to the video information of video acquisition module collection and judges, described information display module is used for video information and the information warning of the collection of display video acquisition module, and described alarm module is used for carrying out warning reminding to the bad steering behavior of driver; Bad steering behavioural information from wireless communication module can either carry out classifying, arrange and preserving by described data inventory analysis server module, externally provide information inquiry, can analyze again the bad behavior of same driver within a period of time, the event same driver being continued to do within a certain period of time to same bad behavior sends information warning by wireless communication module to driver.
Further, described video acquisition module comprises video acquisition module I and video acquisition module II, described video acquisition module I and video acquisition module II are by simulation camera and analog to digital converter composition, gather driver's face left-side video image and right side video image respectively, and the image collected is sent to embedded data analysis module.
Further, described alarm module reminds driver to correct corresponding driving behavior by different warning sound and voice broadcast; Receive the warning from two aspects: one is the real-time monitoring alarming from described embedded data analysis module; Two be by described wireless communication module receive from described data inventory analysis server module to the high-risk warning of the statistics of driving behavior in a period of time, the alarm level of the latter is higher than the former.
Further, described information display module shows the video image of described video acquisition module I and described video acquisition module II, and image identifies the driver's face, eyes, face and the ear location that detect; Identify the position of corresponding eyes, face or ear when bad behavior occurs with different colours, and show the word alarm of bad behavior.
Further, described wireless communication module comprises GPS locating module and 3G/4G wireless communication module, GPS locating module provides car speed and positional information, and 3G/4G wireless communication module is two-way communication: the bad steering behavioural information from described embedded data analysis module is sent to described data inventory analysis server module by up direction; Down direction receives from the warning message of described data inventory analysis server, and is sent to described embedded data analysis module and reports to the police.
Further, the workflow of described detection system is as follows:
1) embedded data analysis module obtains car speed and vehicle position information from wireless communication module;
2) embedded data analysis module obtains Pilot Name, number information from driver information acquisition module;
3) embedded data analysis module carries out the real-time analysis of driver's bad steering behavior simultaneously to the image from video acquisition module I and video acquisition module II, described bad steering behavior comprises: close one's eyes, yawn, make a phone call, smoke, eat, talk, the startup analysis when the speed of a motor vehicle is greater than 0, stops analyzing when the speed of a motor vehicle equals 0;
4) when eye closing having been detected in two-path video simultaneously, judge that driver exists corresponding bad steering behavior when yawning, make a phone call, smoke, eat or talk;
5) control alarm module when having bad steering behavior to report to the police, the position coordinateses such as the eyes, face or the ear that bad steering behavior are occurred are sent to information display module and show, and driver information, vehicle location, car speed, bad steering behavior title, the time of bad steering behavior generation, the picture of bad steering behavior or video are sent to data inventory analysis server module by described wireless communication module.
Further, described data inventory analysis server module can receive information from described multiple wireless communication module by networking simultaneously, and real-time analysis and preservation.
Beneficial effect of the present invention is:
1) the present invention utilizes dual camera collection driver face information, data acquisition is comprehensive, to the strong adaptability of illumination in vehicle travel process and environmental change, by detecting the bad steering behavior of driver to the comprehensive descision of two kinds of data, detection accuracy is higher;
2) bad steering behavior can be uploaded to data inventory analysis server by the present invention in real time, by the analysis of server, the bad steering behavior that driver in a period of time continues is carried out to the warning of higher level, force driver to correct behavior, further guarantee traffic safety;
3) bad steering behavioural information is uploaded to data inventory analysis server by the present invention, carry out classifying and preserving, be conducive to managing driver and examining, and can analyze from historical data driver habitual bad behavior, assess it and drive risk, driver is guided and correct targetedly, to improve driver awareness of safety, fundamentally stop bad steering behavior and play an important role;
4) usage data of the present invention centralized management pattern, by networking, data inventory analysis server can the driving behavior information of analyzing and processing multiple stage vehicle simultaneously, and it is convenient to dispose, and treatment effeciency is high.
Accompanying drawing explanation
In order to make object of the present invention, technical scheme and beneficial effect clearly, the invention provides following accompanying drawing and being described:
Fig. 1 is the structural representation of detection system of the present invention;
Fig. 2 is system processing flow chart.
Embodiment
Below in conjunction with accompanying drawing, the preferred embodiments of the present invention are described in detail.
Fig. 1 is the structural representation of detection system of the present invention, as shown in the figure, this system comprises: video acquisition module I, video acquisition module II, driver information acquisition module, embedded data analysis module, alarm module, information display module, wireless communication module, data inventory analysis server module.
Video acquisition module I and video acquisition module II, be made up of simulation camera and analog to digital converter.Its simulation camera is installed on the left and right sides of driver respectively, and the angle in driver front is between 30 ° to 45 °, gathers the image of driver left and right sides face respectively.By analog signal line by video signal transmission to analog to digital converter, in the present embodiment, analog to digital conversion adopts chip TVP5158, and analog video signal is converted to digital video signal by TVP5158, then is connected with embedded data analysis module by SPI interface.
Driver information acquisition module, the personal information that name, numbering, affiliated function etc. for obtaining driver are relevant to management.In the present embodiment, driver information acquisition module is driver's IC-card reading device, is connected by the ARM of SPI mouth with embedded data analysis module.Driver inserts IC-card, and ARM can start video analysis after obtaining driver information.
Embedded data analysis module, is made up of ARM and DSP, and ARM and DSP is connected by serial ports, and ARM is responsible for control, DSP is responsible for data processing.In the present embodiment, ARM adopts HI3515 chip, and DSP adopts DM3730cus100 chip.ARM obtains current vehicle speed information from the GPS of wireless communication module, the startup of control DSP video analysis and stopping, the bad steering behavioural information analyzed by DSP is sent to alarm module and carries out Realtime Alerts, and this bad steering behavioural information and the driver information read from IC-card, the vehicle position information that reads from GPS are sent to data inventory analysis server module by wireless communication module, receive from the high-risk warning of data inventory analysis server by wireless communication module simultaneously; DSP module analyzes the video data of video acquisition module I and video acquisition module II simultaneously, judges whether driver exists bad steering behavior, and described bad steering behavior comprises: close one's eyes, yawn, make a phone call, smoke, eat and talk.
Alarm module, is made up of voice controller and loudspeaker, and voice controller is connected by control signal wire with the ARM in embedded data analysis module.The chimes of doom for closing one's eyes, yawning, make a phone call, smoke, eat and talk and verbal cue is had in voice controller.Often kind of chimes of doom has two types, be respectively used to the real-time common warning from embedded data analysis module and the high-risk warning to lasting bad behavior from data inventory analysis module, of short duration alarm is only made in common warning, high-risk warning can change alert frequency and VOLUME UP, and constant sounding, force driver to correct bad steering behavior.
Information display module, be made up of Video Controller and display, be connected with embedded data analysis module, the video image of display video acquisition module I and video acquisition module II in left and right sides, with rectangle frame Overlapping display driver face, eyes, lip, ear location, identify the position of corresponding eyes, face or ear when bad behavior occurs with different colours, and show the word alarm of bad behavior.
Wireless communication module, is made up of GPS locating module and 3G wireless communication module, is connected by serial ports with the ARM in embedded data analysis module.GPS locating module is for measuring Vehicle Speed and vehicle present position information, and vehicle speed information starts or stops video analysis for controlling embedded data analysis module; 3G wireless communication module is used for communicating with data inventory analysis server module.Up direction, the bad behavior information of 3G wireless communication module self-embedding in the future formula data analysis module is sent to data inventory analysis server module; Down direction, 3G wireless communication module receives the warning message of data inventory analysis server module, transfers to embedded data analysis module.
Data inventory analysis server module, is made up of data communication server, data analytics server, data storage server and data query server.Server in the present embodiment adopts DELLR720 server, windows operating system.Data communication server completes the information transmit-receive with wireless communication module; Data analytics server carries out analysis and output alarm information where necessary to bad behavior; Bad behavior is preserved by database by data storage server; Data query server, by the data of retrieve data storage server, realizes the functions such as the statistics of information, inquiry and report output.The mode of data communication server employing WebService network service receives and dispatches the information from multiple vehicle simultaneously, by INTER net and IIS (InternetInformationServices, Internet Information Service) network communication address of data communication server module is mapped away, wireless communication module carries out exchanges data by this network address with it.The message received is submitted to data storage server and data analytics server by data communication server, and receives the message of data analytics server, is sent to the wireless communication module of corresponding vehicle.Data communication server is netted with INTER and is connected, and data communication server, data analytics server, data storage server are then connected by LAN (Local Area Network) with data query server.
As shown in Figure 2, be system flowchart of the present invention, systematic processing steps is:
Step 1, embedded data analysis module obtains driver information from driver information acquisition module, starts subsequent treatment after obtaining information;
Step 2, embedded data analysis module obtains vehicle speed information from wireless communication module, starts video analysis when car speed is greater than 0; Video analysis is stopped when car speed equals 0;
Step 3, when the speed of a motor vehicle is greater than 0, embedded data analysis module analyzes the video data in video I and video II simultaneously, detects driver's face in video I and video II respectively, and by the position of the eyes of human face region location driver, face and ear;
Step 4, judge the bad steering behavior that in video I and video II, whether driver exists eye closing, yawns, makes a phone call, smokes, eats, talks respectively, if detect same bad steering behavior in video I and video II simultaneously, then judge that driver exists bad steering behavior, output alarm information carries out Realtime Alerts to alarm module, and bad behavior information is sent to data inventory analysis server module by wireless communication module;
Step 5, data inventory analysis server module is analyzed bad behavior, if same driver continues same bad behavior occurs within a continuous print time, then export high-risk warning message, and wireless communication module warning message being sent to corresponding vehicle carries out high-risk warning;
Step 6, data inventory analysis Analysis server module stores the flame from different vehicle received, classified finishing, provides query interface so that managerial personnel's statistical query.
What finally illustrate is, above preferred embodiment is only in order to illustrate technical scheme of the present invention and unrestricted, although by above preferred embodiment to invention has been detailed description, but those skilled in the art are to be understood that, various change can be made to it in the form and details, and not depart from claims of the present invention limited range.
Claims (7)
1., based on driver's bad steering behavioral value system that binocular video is analyzed, it is characterized in that: described detection system comprises video acquisition module, driver information acquisition module, information display module, alarm module, wireless communication module, embedded data analysis module and data inventory analysis server module; Described embedded data analysis module is connected with video acquisition module, driver information acquisition module, alarm module, information display module and wireless communication module respectively; Described wireless communication module is connected with data inventory analysis server by cordless communication network;
Described video acquisition module is for gathering face's video image of driver, described driver information acquisition module is for obtaining the personal information of driver, described embedded data analysis module is used for carrying out analysis to the video information of video acquisition module collection and judges, described information display module is used for video information and the information warning of the collection of display video acquisition module, and described alarm module is used for carrying out warning reminding to the bad steering behavior of driver; Bad steering behavioural information from wireless communication module can either carry out classifying, arrange and preserving by described data inventory analysis server module, externally provide information inquiry, can analyze again the bad behavior of same driver within a period of time, the event same driver being continued to do within a certain period of time to same bad behavior sends information warning by wireless communication module to driver.
2. a kind of driver's bad steering behavioral value system analyzed based on binocular video according to claim 1, it is characterized in that: described video acquisition module comprises video acquisition module I and video acquisition module II, described video acquisition module I and video acquisition module II are by simulation camera and analog to digital converter composition, gather driver's face left-side video image and right side video image respectively, and the image collected is sent to embedded data analysis module.
3. a kind of driver's bad steering behavioral value system analyzed based on binocular video according to claim 1, is characterized in that: described alarm module reminds driver to correct corresponding driving behavior by different warning sound and voice broadcast; Receive the warning from two aspects: one is the real-time monitoring alarming from described embedded data analysis module; Two be by described wireless communication module receive from described data inventory analysis server module to the high-risk warning of the statistics of driving behavior in a period of time, the alarm level of the latter is higher than the former.
4. a kind of driver's bad steering behavioral value system analyzed based on binocular video according to claim 2, it is characterized in that: described information display module shows the video image of described video acquisition module I and described video acquisition module II, image identifies the driver's face, eyes, face and the ear location that detect; Identify the position of corresponding eyes, face or ear when bad behavior occurs with different colours, and show the word alarm of bad behavior.
5. a kind of driver's bad steering behavioral value system analyzed based on binocular video according to claim 2, it is characterized in that: described wireless communication module comprises GPS locating module and 3G/4G wireless communication module, GPS locating module provides car speed and positional information, and 3G/4G wireless communication module is two-way communication: the bad steering behavioural information from described embedded data analysis module is sent to described data inventory analysis server module by up direction; Down direction receives from the warning message of described data inventory analysis server, and is sent to described embedded data analysis module and reports to the police.
6. a kind of driver's bad steering behavioral value system analyzed based on binocular video according to claim 5, is characterized in that: the workflow of described detection system is as follows:
1) embedded data analysis module obtains car speed and vehicle position information from wireless communication module;
2) embedded data analysis module obtains Pilot Name, number information from driver information acquisition module;
3) embedded data analysis module carries out the real-time analysis of driver's bad steering behavior simultaneously to the image from video acquisition module I and video acquisition module II, described bad steering behavior comprises: close one's eyes, yawn, make a phone call, smoke, eat, talk, the startup analysis when the speed of a motor vehicle is greater than 0, stops analyzing when the speed of a motor vehicle equals 0;
4) when eye closing having been detected in two-path video simultaneously, judge that driver exists corresponding bad steering behavior when yawning, make a phone call, smoke, eat or talk;
5) control alarm module when having bad steering behavior to report to the police, the position coordinateses such as the eyes, face or the ear that bad steering behavior are occurred are sent to information display module and show, and driver information, vehicle location, car speed, bad steering behavior title, the time of bad steering behavior generation, the picture of bad steering behavior or video are sent to data inventory analysis server module by described wireless communication module.
7. a kind of driver's bad steering behavioral value system analyzed based on binocular video according to any one of claim 1 to 6, it is characterized in that: described data inventory analysis server module can receive information from described multiple wireless communication module by networking simultaneously, and real-time analysis and preservation.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510793571.XA CN105469035A (en) | 2015-11-17 | 2015-11-17 | Driver's bad driving behavior detection system based on binocular video analysis |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510793571.XA CN105469035A (en) | 2015-11-17 | 2015-11-17 | Driver's bad driving behavior detection system based on binocular video analysis |
Publications (1)
Publication Number | Publication Date |
---|---|
CN105469035A true CN105469035A (en) | 2016-04-06 |
Family
ID=55606706
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510793571.XA Pending CN105469035A (en) | 2015-11-17 | 2015-11-17 | Driver's bad driving behavior detection system based on binocular video analysis |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN105469035A (en) |
Cited By (25)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105898239A (en) * | 2016-06-03 | 2016-08-24 | 北京中电万联科技股份有限公司 | Bus driver abnormal behavior monitoring system and monitoring method |
CN106448063A (en) * | 2016-12-06 | 2017-02-22 | 苏州加特安汽车智能科技有限公司 | Traffic safety supervision method, device and system |
CN106898119A (en) * | 2017-04-26 | 2017-06-27 | 华迅金安(北京)科技有限公司 | Safety operation intelligent monitoring system and method based on binocular camera |
CN107403554A (en) * | 2017-09-01 | 2017-11-28 | 北京壹卡行科技有限公司 | Binocular integrated driving person's behavioural analysis apparatus and method for |
WO2018113752A1 (en) * | 2016-12-22 | 2018-06-28 | Dongxia Datong (Beijing) Management And Consulting Co., Ltd. | Systems and methods for monitoring a vehicle |
CN108790816A (en) * | 2018-05-24 | 2018-11-13 | 安徽中科中涣防务装备技术有限公司 | A kind of bus driver's compartment safety comprehensive electronic enclosure system |
CN109002757A (en) * | 2018-06-04 | 2018-12-14 | 上海商汤智能科技有限公司 | Drive management method and system, vehicle intelligent system, electronic equipment, medium |
CN109064233A (en) * | 2018-08-21 | 2018-12-21 | 北京深瞐科技有限公司 | Car insurance pricing method and its device, computer-readable medium |
CN109635664A (en) * | 2018-11-15 | 2019-04-16 | 珠海研果科技有限公司 | A kind of method for detecting fatigue driving based on illumination detection |
CN109672868A (en) * | 2019-01-30 | 2019-04-23 | 北京津发科技股份有限公司 | Multi-cam safety pre-warning system, method, vehicle and terminal device |
CN110046560A (en) * | 2019-03-28 | 2019-07-23 | 青岛小鸟看看科技有限公司 | A kind of dangerous driving behavior detection method and camera |
CN110114633A (en) * | 2016-12-28 | 2019-08-09 | 江苏宏宝工具有限公司 | System and method for monitoring vehicle |
CN110182222A (en) * | 2018-02-19 | 2019-08-30 | 现代自动车株式会社 | Autonomous driving control device and method for notifying front vehicles to leave |
CN110293974A (en) * | 2019-07-02 | 2019-10-01 | 重庆大学 | Driving gesture recognition and management system and APP based on lightweight neural network are applied |
CN110717436A (en) * | 2019-09-30 | 2020-01-21 | 上海商汤临港智能科技有限公司 | Data analysis method and device, electronic equipment and computer storage medium |
CN111191545A (en) * | 2019-12-20 | 2020-05-22 | 郑州嘉晨电器有限公司 | Real-time monitoring and analyzing system and method for driver behavior |
CN111209797A (en) * | 2019-12-19 | 2020-05-29 | 广州航天海特系统工程有限公司 | Method, device, equipment and storage medium for monitoring driving behavior |
CN111260882A (en) * | 2020-02-04 | 2020-06-09 | 上海博泰悦臻电子设备制造有限公司 | Driving behavior reminding method, system and server |
CN111832373A (en) * | 2019-05-28 | 2020-10-27 | 北京伟景智能科技有限公司 | Automobile driving posture detection method based on multi-view vision |
CN112132994A (en) * | 2020-09-22 | 2020-12-25 | 深圳市森克普科技有限公司 | Monitoring method and system for analyzing driver behavior based on real-time data |
US10915769B2 (en) | 2018-06-04 | 2021-02-09 | Shanghai Sensetime Intelligent Technology Co., Ltd | Driving management methods and systems, vehicle-mounted intelligent systems, electronic devices, and medium |
US10970571B2 (en) | 2018-06-04 | 2021-04-06 | Shanghai Sensetime Intelligent Technology Co., Ltd. | Vehicle control method and system, vehicle-mounted intelligent system, electronic device, and medium |
CN112738364A (en) * | 2020-12-07 | 2021-04-30 | 浙江合众新能源汽车有限公司 | User monitoring device and method based on facial expression and voice recognition |
CN113744498A (en) * | 2020-05-29 | 2021-12-03 | 杭州海康汽车软件有限公司 | System and method for driver attention monitoring |
CN114519928A (en) * | 2020-09-25 | 2022-05-20 | 阿波罗智联(北京)科技有限公司 | Method, apparatus, vehicle, electronic device, and medium for controlling vehicle |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR101288268B1 (en) * | 2012-10-19 | 2013-07-26 | (주)도일시스템즈 | Collateral monitor and control system and method |
CN104077819A (en) * | 2014-06-17 | 2014-10-01 | 深圳前向启创数码技术有限公司 | Remote monitoring method and system based on driving safety |
CN104077568A (en) * | 2014-06-23 | 2014-10-01 | 北京理工大学珠海学院 | High-accuracy driver behavior recognition and monitoring method and system |
CN104637246A (en) * | 2015-02-02 | 2015-05-20 | 合肥工业大学 | Driver multi-behavior early warning system and danger evaluation method |
-
2015
- 2015-11-17 CN CN201510793571.XA patent/CN105469035A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR101288268B1 (en) * | 2012-10-19 | 2013-07-26 | (주)도일시스템즈 | Collateral monitor and control system and method |
CN104077819A (en) * | 2014-06-17 | 2014-10-01 | 深圳前向启创数码技术有限公司 | Remote monitoring method and system based on driving safety |
CN104077568A (en) * | 2014-06-23 | 2014-10-01 | 北京理工大学珠海学院 | High-accuracy driver behavior recognition and monitoring method and system |
CN104637246A (en) * | 2015-02-02 | 2015-05-20 | 合肥工业大学 | Driver multi-behavior early warning system and danger evaluation method |
Cited By (32)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105898239A (en) * | 2016-06-03 | 2016-08-24 | 北京中电万联科技股份有限公司 | Bus driver abnormal behavior monitoring system and monitoring method |
CN106448063A (en) * | 2016-12-06 | 2017-02-22 | 苏州加特安汽车智能科技有限公司 | Traffic safety supervision method, device and system |
WO2018113752A1 (en) * | 2016-12-22 | 2018-06-28 | Dongxia Datong (Beijing) Management And Consulting Co., Ltd. | Systems and methods for monitoring a vehicle |
EP3538844A4 (en) * | 2016-12-22 | 2019-10-09 | Jiangsu Hongbao Hardware Co., Ltd. | Systems and methods for monitoring a vehicle |
CN110114633A (en) * | 2016-12-28 | 2019-08-09 | 江苏宏宝工具有限公司 | System and method for monitoring vehicle |
CN106898119A (en) * | 2017-04-26 | 2017-06-27 | 华迅金安(北京)科技有限公司 | Safety operation intelligent monitoring system and method based on binocular camera |
CN107403554A (en) * | 2017-09-01 | 2017-11-28 | 北京壹卡行科技有限公司 | Binocular integrated driving person's behavioural analysis apparatus and method for |
CN107403554B (en) * | 2017-09-01 | 2023-07-11 | 北京九州安华信息安全技术有限公司 | Binocular integrated driver behavior analysis device and method |
CN110182222A (en) * | 2018-02-19 | 2019-08-30 | 现代自动车株式会社 | Autonomous driving control device and method for notifying front vehicles to leave |
CN108790816A (en) * | 2018-05-24 | 2018-11-13 | 安徽中科中涣防务装备技术有限公司 | A kind of bus driver's compartment safety comprehensive electronic enclosure system |
CN109002757A (en) * | 2018-06-04 | 2018-12-14 | 上海商汤智能科技有限公司 | Drive management method and system, vehicle intelligent system, electronic equipment, medium |
US10970571B2 (en) | 2018-06-04 | 2021-04-06 | Shanghai Sensetime Intelligent Technology Co., Ltd. | Vehicle control method and system, vehicle-mounted intelligent system, electronic device, and medium |
US10915769B2 (en) | 2018-06-04 | 2021-02-09 | Shanghai Sensetime Intelligent Technology Co., Ltd | Driving management methods and systems, vehicle-mounted intelligent systems, electronic devices, and medium |
CN109064233A (en) * | 2018-08-21 | 2018-12-21 | 北京深瞐科技有限公司 | Car insurance pricing method and its device, computer-readable medium |
CN109635664A (en) * | 2018-11-15 | 2019-04-16 | 珠海研果科技有限公司 | A kind of method for detecting fatigue driving based on illumination detection |
CN109672868A (en) * | 2019-01-30 | 2019-04-23 | 北京津发科技股份有限公司 | Multi-cam safety pre-warning system, method, vehicle and terminal device |
CN109672868B (en) * | 2019-01-30 | 2020-10-27 | 北京津发科技股份有限公司 | Multi-camera safety early warning system and method, vehicle and terminal equipment |
CN110046560A (en) * | 2019-03-28 | 2019-07-23 | 青岛小鸟看看科技有限公司 | A kind of dangerous driving behavior detection method and camera |
CN111832373A (en) * | 2019-05-28 | 2020-10-27 | 北京伟景智能科技有限公司 | Automobile driving posture detection method based on multi-view vision |
CN110293974A (en) * | 2019-07-02 | 2019-10-01 | 重庆大学 | Driving gesture recognition and management system and APP based on lightweight neural network are applied |
WO2021063004A1 (en) * | 2019-09-30 | 2021-04-08 | 上海商汤临港智能科技有限公司 | Data analysis method and apparatus, electronic device and computer storage medium |
CN110717436A (en) * | 2019-09-30 | 2020-01-21 | 上海商汤临港智能科技有限公司 | Data analysis method and device, electronic equipment and computer storage medium |
CN111209797A (en) * | 2019-12-19 | 2020-05-29 | 广州航天海特系统工程有限公司 | Method, device, equipment and storage medium for monitoring driving behavior |
CN111191545A (en) * | 2019-12-20 | 2020-05-22 | 郑州嘉晨电器有限公司 | Real-time monitoring and analyzing system and method for driver behavior |
CN111191545B (en) * | 2019-12-20 | 2024-01-12 | 河南嘉晨智能控制股份有限公司 | Real-time monitoring and analyzing system and method for driver behaviors |
CN111260882A (en) * | 2020-02-04 | 2020-06-09 | 上海博泰悦臻电子设备制造有限公司 | Driving behavior reminding method, system and server |
CN113744498A (en) * | 2020-05-29 | 2021-12-03 | 杭州海康汽车软件有限公司 | System and method for driver attention monitoring |
CN113744498B (en) * | 2020-05-29 | 2023-10-27 | 杭州海康汽车软件有限公司 | System and method for driver attention monitoring |
CN112132994A (en) * | 2020-09-22 | 2020-12-25 | 深圳市森克普科技有限公司 | Monitoring method and system for analyzing driver behavior based on real-time data |
CN114519928A (en) * | 2020-09-25 | 2022-05-20 | 阿波罗智联(北京)科技有限公司 | Method, apparatus, vehicle, electronic device, and medium for controlling vehicle |
CN114519928B (en) * | 2020-09-25 | 2023-08-15 | 阿波罗智联(北京)科技有限公司 | Method, device, vehicle, electronic device and medium for controlling vehicle |
CN112738364A (en) * | 2020-12-07 | 2021-04-30 | 浙江合众新能源汽车有限公司 | User monitoring device and method based on facial expression and voice recognition |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN105469035A (en) | Driver's bad driving behavior detection system based on binocular video analysis | |
CN102164270A (en) | Intelligent video monitoring method and system capable of exploring abnormal events | |
US7792328B2 (en) | Warning a vehicle operator of unsafe operation behavior based on a 3D captured image stream | |
CN103810856B (en) | Safety of school bus monitoring device and using method | |
US10997430B1 (en) | Dangerous driver detection and response system | |
CN102622798B (en) | Passenger flow statistical analysis system | |
US20220358769A1 (en) | Vehicle monitoring system and vehicle monitoring method | |
KR20190115040A (en) | Methods, devices, equipment and storage media for determining driving behavior | |
US20180359445A1 (en) | Method for Recording Vehicle Driving Information and Creating Vehicle Record by Utilizing Digital Video Shooting | |
CN204087490U (en) | A kind of giving fatigue pre-warning system based on machine vision | |
CN104809887B (en) | A kind of retrograde detection method of vehicle on expressway and autoalarm | |
CN104786934B (en) | Vehicle driving data management system and realization method | |
WO2020181840A1 (en) | Method and system for monitoring distracted driving, and electronic device | |
CN111815831A (en) | Intelligent community security system based on Internet of things | |
CN109823347A (en) | Intelligent network joins vehicle driving behavior supplementary security system and method | |
CN110995771A (en) | Freight train land transportation monitoring management system based on thing networking | |
CN112289031A (en) | Method and device for detecting and alarming abnormal conditions in bus driving process | |
CN110751080A (en) | Gathering early warning method and system for abnormal personnel and related device | |
CN110154757A (en) | The multi-faceted safe driving support method of bus | |
CN111127943A (en) | Electric vehicle illegal parking prohibition management system | |
KR102051136B1 (en) | Artificial intelligence dashboard robot base on cloud server for recognizing states of a user | |
CN113361825A (en) | Early warning method and system for trampling accident | |
CN204929052U (en) | Internet security protection control intelligent management system | |
CN114093143A (en) | Vehicle driving risk perception early warning method and device | |
RU2684484C1 (en) | Method and cognitive system for video analysis, monitoring, control of driver and vehicle state in real time |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160406 |
|
RJ01 | Rejection of invention patent application after publication |