CN113891049A - Vehicle-mounted video monitoring data processing method and device based on big data - Google Patents
Vehicle-mounted video monitoring data processing method and device based on big data Download PDFInfo
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- CN113891049A CN113891049A CN202111287154.XA CN202111287154A CN113891049A CN 113891049 A CN113891049 A CN 113891049A CN 202111287154 A CN202111287154 A CN 202111287154A CN 113891049 A CN113891049 A CN 113891049A
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- 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
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- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/42—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by implementation details or hardware specially adapted for video compression or decompression, e.g. dedicated software implementation
- H04N19/423—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by implementation details or hardware specially adapted for video compression or decompression, e.g. dedicated software implementation characterised by memory arrangements
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Abstract
The invention discloses a vehicle-mounted video monitoring data processing method and device based on big data, and the vehicle-mounted video monitoring data processing method and device based on big data comprise a monitoring processor, a WiFi module, a cloud platform, a behavior monitoring system, an accident handling system and a traffic detection system, wherein the monitoring processor is connected with the cloud platform through the WiFi module, the monitoring processor is connected with the behavior monitoring system, the accident handling system and the traffic detection system, and the behavior monitoring system is used for monitoring dangerous driving behaviors of a user. The invention relates to the technical field of vehicle-mounted video monitoring, and discloses a vehicle-mounted video monitoring data processing method and device based on big data, which can detect and identify vehicles, lanes and traffic scenes in front, effectively predict dangers such as front vehicle collision, lane departure and the like by combining analysis of vehicle motion states and driver behaviors, and give an alarm to abnormal behaviors such as smoking, calling, fatigue driving, distraction and the like of a driver, thereby comprehensively reducing traffic accidents caused by the reasons.
Description
Technical Field
The invention relates to the technical field of vehicle-mounted video monitoring, in particular to a method and a device for processing vehicle-mounted video monitoring data based on big data.
Background
Along with the continuous improvement of people's standard of living, more and more families have all possessed the car, and the car has brought conveniently in the aspect of the trip of giving people, in order to record driver's driving situation, has all installed vehicle-mounted video equipment in most cars.
However, the following defects exist in the current driving of drivers:
1. the driver can not give an early warning to the dangerous driving in time, so that the driving safety of the driver is reduced;
2. when a traffic accident occurs, a driver cannot be timely treated and cannot quickly know the accident reason of the driver.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a vehicle-mounted video monitoring data processing method and device based on big data, and solves the problems that the driver cannot give early warning in time when driving dangerously, cannot be treated in time when a traffic accident happens, and cannot quickly know the accident reason of the driver.
In order to achieve the purpose, the invention is realized by the following technical scheme: the utility model provides a processing apparatus of on-vehicle video monitoring data based on big data, includes monitoring processor and wiFi module, high in the clouds platform, action monitoring system, accident processing system and traffic detection system, be connected through the wiFi module between monitoring processor and the high in the clouds platform, and be connected between monitoring processor and action monitoring system and accident processing system and the traffic detection system, action monitoring system is used for monitoring user's dangerous driving behavior, traffic detection system is used for monitoring user's standard of driving a vehicle, accident processing system is used for handling traffic accident situation.
The behavior monitoring system comprises an analysis module, a monitoring module, a behavior input module, an area sensing module, a time threshold module and a voice module, wherein the monitoring module is used for monitoring driving behaviors of a user, the behavior input module is used for inputting dangerous behavior pictures of driving of the driver, the area sensing module is used for sensing the driving display area of the user detected by the monitoring module, the analysis module analyzes detected data, judges whether dangerous driving exists in the user or not, and if the dangerous driving exists, the voice module sends out voice prompts.
Preferably, the input end of the analysis module is connected with the output ends of the monitoring module, the behavior recording module, the area sensing module and the time threshold module through wires, and the output end of the analysis module is connected with the input end of the voice module through wires.
Preferably, the behavior entry module comprises pictures of smoking, yawning and eye closing states of the driver, the time threshold module is a time threshold for yawning and eye closing of the user, and when it is monitored that the violation behavior of the driver exceeds the time threshold of the time threshold module, the driver is judged to be dangerous driving.
Preferably, the cloud platform comprises an upgrading module, and the upgrading module is used for remotely upgrading the vehicle-mounted video monitoring on line.
Preferably, the accident handling system comprises an airbag monitoring module, a control processing module, a video acquisition module, an automatic dialing module and a data storage module, wherein the output end of the airbag monitoring module is connected with the input end of the control processing module through a wire, the output end of the control processing module is respectively electrically connected with the input ends of the video acquisition module and the automatic dialing module through wires, and the output end of the video acquisition module is electrically connected with the input end of the data storage module through a wire.
Preferably, gasbag monitoring module is used for monitoring the air bag situation, and when air bag opened, control processing module made automatic dialing module autodial give the traffic police, made the driver in time obtain the treatment, and video acquisition module carries out the video recording collection to the process of driving simultaneously, makes it store in the data storage module, later with its upload to high in the clouds platform, is convenient for inquire as the evidence.
Preferably, the traffic detection system comprises a real-time monitoring module, a GPS positioning module, an obstacle distance measuring module, a direction lamp module, a camera module, a route collecting module, a control module, an early warning module, a brake module and a steering module, wherein the input end of the real-time monitoring module is electrically connected with the output ends of the GPS positioning module, the obstacle distance measuring module, the direction lamp module, the camera module and the route collecting module through wires, the output end of the real-time monitoring module is electrically connected with the input end of the control module through wires, and the output end of the control module is electrically connected with the input ends of the early warning module, the brake module and the steering module through wires.
Preferably, the real-time monitoring module monitors the collision and lane deviation conditions of the driver in real time according to the GPS positioning module, the obstacle distance measuring module, the direction lamp module, the camera module and the route acquisition module, and the control module controls the early warning module, the brake module and the steering module to work respectively, so that the driver is warned and the dangerous condition is corrected in time.
Preferably, the processing device of the vehicle-mounted video monitoring data based on the big data comprises the following steps:
s1, recording photos of smoking, yawning and eye closing states of personnel in a behavior recording module, setting a yawning frequency threshold value and an eye closing time threshold value in a time threshold value module, carrying out online monitoring on a driver of a monitoring module, sensing whether the driver is in a driving display area or not by a region sensing module through the monitoring module, judging that the driver is dangerous driving if the driver is not in the display area, judging that the driver is dangerous driving when the yawning and the eye closing of the driver exceed the threshold value of the time threshold value module, judging that the driver is dangerous driving when the driver smokes, judging that the driver has dangerous driving according to the recorded pictures by an analysis module, transmitting signals to a voice module, and sending voice warning by the voice module to remind the driver;
s2, detecting the distance between a vehicle and a front vehicle by an obstacle ranging module, acquiring road lines by a route acquisition module, when the vehicle is too close to the front vehicle, enabling an early warning module to send out early warning by a control module, and enabling a brake module and a steering module to work simultaneously to brake and steer so as to avoid collision, wherein when a direction lamp is not turned on and the vehicle deviates from a lane, the control module enables the early warning module to warn a driver to return to the current lane in time;
s3, when an accident happens, the airbag monitoring module detects whether the safety airbag is opened, if so, the control processing module enables the automatic dialing module to automatically dial the traffic police, so that the driver is timely treated, meanwhile, the video acquisition module acquires information of the driving process, and the acquired video is stored in the data storage module.
Preferably, in step S3, after the collected video is stored in the data storage module, the data storage module transmits the information to the cloud platform, so as to be convenient for being kept as an evidence for viewing.
Advantageous effects
The invention provides a vehicle-mounted video monitoring data processing method and device based on big data, which have the following beneficial effects compared with the prior art:
1. the vehicle-mounted video monitoring data processing method and device based on the big data can detect and identify the front vehicle, the lane and the traffic scene, effectively predict the danger of collision, lane departure and the like of the front vehicle by combining the analysis of the vehicle motion state and the behavior of the driver, and give an alarm to the abnormal behaviors of smoking, calling, fatigue driving, distraction and the like of the driver, thereby comprehensively reducing the traffic accidents caused by the reasons.
2. The vehicle-mounted video monitoring data processing method and device based on the big data can upload the early warning signals and the related video data to the unique cloud platform, provide real-time early warning, simultaneously keep on-site video evidence, and facilitate the monitoring and management of vehicles by traffic departments.
3. The vehicle-mounted video monitoring data processing method and device based on big data can remotely upgrade the vehicle-mounted video monitoring on line and update the parameters of the system, so that the method and device are more convenient and faster.
Drawings
FIG. 1 is a functional block diagram of the present invention;
FIG. 2 is a functional block diagram of the behavior detection system of the present invention;
FIG. 3 is a functional block diagram of an accident management system of the present invention;
FIG. 4 is a functional block diagram of the traffic detection system of the present invention;
fig. 5 is a schematic logic block diagram of the present invention.
In the figure: 1. a monitoring processor; 2. a WiFi module; 3. a cloud platform; 31. an upgrade module; 4. a behavior monitoring system; 41. an analysis module; 42. a monitoring module; 43. a behavior input module; 44. a zone sensing module; 45. a time threshold module; 46. a voice module; 5. an accident handling system; 51. an airbag monitoring module; 52. a control processing module; 53. a video acquisition module; 54. an automatic dialing module; 55. a data storage module; 6. a traffic detection system; 61. a real-time monitoring module; 62. a GPS positioning module; 63. an obstacle ranging module; 64. a turn signal module; 65. a camera module; 66. a route acquisition module; 67. a control module; 68. an early warning module; 69. a brake module; 610. and a steering module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: the utility model provides a processing apparatus of on-vehicle video surveillance data based on big data, including monitoring processor 1 and wiFi module 2, high in the clouds platform 3, behavior monitoring system 4, accident handling system 5 and traffic detection system 6, be connected through wiFi module 2 between monitoring processor 1 and the high in the clouds platform 3, and be connected between monitoring processor 1 and behavior monitoring system 4 and accident handling system 5 and the traffic detection system 6, behavior monitoring system 4 is used for monitoring user's dangerous driving behavior, traffic detection system 6 is used for monitoring user's standard of driving, accident handling system 5 is used for handling the traffic accident situation, high in the clouds platform 3 is including upgrading module 31, upgrading module 31 is used for the on-vehicle video monitoring of long-range online upgrading.
Referring to fig. 2, in the embodiment of the present invention, the behavior monitoring system 4 includes an analysis module 41, a monitoring module 42, a behavior entry module 43, an area sensing module 44, a time threshold module 45, and a voice module 46, where the monitoring module 42 is configured to monitor driving behaviors of a user, the behavior entry module 43 is configured to enter dangerous behavior pictures of driving of the driver, the area sensing module 44 is configured to sense a driving display area of the user detected by the monitoring module 42, the analysis module 41 analyzes detected data, and determines whether dangerous driving exists for the user, if so, the voice module 46 sends a voice prompt, input ends of the analysis module 41 are connected to output ends of the monitoring module 42, the behavior entry module 43, the area sensing module 44, and the time threshold module 45 through wires, and an output end of the analysis module 41 is connected to an input end of the voice module 46 through a wire, the behavior entry module 43 includes pictures of smoking, yawning and eye-closing states of the driver, the time threshold module 45 is a time threshold for yawning and eye-closing of the user, and when it is monitored that the violation behavior of the driver exceeds the time threshold of the time threshold module 45, the driver is judged to be dangerous driving.
Referring to fig. 3, in the embodiment of the present invention, the accident handling system 5 includes an airbag monitoring module 51, a control processing module 52, a video collecting module 53, an automatic dialing module 54, and a data storage module 55, an output end of the airbag monitoring module 51 is connected to an input end of the control processing module 52 through a wire, an output end of the control processing module 52 is electrically connected to input ends of the video collecting module 53 and the automatic dialing module 54 through wires, an output end of the video collecting module 53 is electrically connected to an input end of the data storage module 55 through a wire, the airbag monitoring module 51 is configured to monitor a status of an airbag, when the airbag is opened, the control processing module 52 enables the automatic dialing module 54 to dial a traffic police automatically, so that a driver is timely rescued, and the video collecting module 53 performs video collection on a driving process, so that the driving process is stored in the data storage module 55, and then the data is uploaded to the cloud platform 3, so that the data can be conveniently used as evidence for inquiring.
Referring to fig. 4, in the embodiment of the present invention, the traffic detection system 6 includes a real-time monitoring module 61, a GPS positioning module 62, an obstacle distance measuring module 63, a turn signal module 64, a camera module 65, a route collecting module 66, a control module 67, an early warning module 68, a brake module 69 and a steering module 610, an input end of the real-time monitoring module 61 is electrically connected to output ends of the GPS positioning module 62, the obstacle distance measuring module 63, the turn signal module 64, the camera module 65 and the route collecting module 66 respectively through wires, an output end of the real-time monitoring module 61 is electrically connected to an input end of the control module 67 through wires, an output end of the control module 67 is electrically connected to input ends of the early warning module 68, the brake module 69 and the steering module 610 respectively through wires, and the real-time monitoring module 61 is electrically connected to the input ends of the early warning module 68, the brake module 69 and the steering module 610 according to the GPS positioning module 62, the obstacle distance measuring module 63, the turn signal module 64, The camera module 65 and the route acquisition module 66 monitor collision and lane deviation conditions of the driver in real time, and the control module 67 controls the early warning module 68, the brake module 69 and the steering module 610 to work respectively, warn the driver and correct dangerous conditions in time.
Referring to fig. 5, in an embodiment of the present invention, a processing device for vehicle-mounted video monitoring data based on big data includes the following steps:
s1, recording photos of smoking, yawning and eye-closing states of the person in the behavior recording module 43, setting a yawning frequency threshold and an eye-closing time threshold in the time threshold module 45, performing online monitoring on the driver of the monitoring module 42, sensing whether the driver is in the driving display area by the area sensing module 44 through the monitoring module 42, determining that the driver is dangerous driving if the driver is not in the driving display area, and determining that the driver is dangerous driving if the driver is yawning and eye-closing exceed the threshold of the time threshold module 45, and when the driver smokes, the analyzing module 41 may determine that the driver is dangerous driving according to the recorded pictures, transmit signals to the voice module 46, and the voice module 46 sends out voice warnings to remind the driver;
s2, the obstacle distance measuring module 63 detects the distance between the vehicle and the front vehicle, the route collecting module 66 collects road routes, when the vehicle is too close to the front vehicle, the control module 67 enables the early warning module 68 to send out early warning, and simultaneously enables the brake module 69 and the steering module 610 to work to brake and steer so as to avoid collision, and when the direction lamp is not turned on and the vehicle deviates, the control module 67 enables the early warning module 68 to warn the driver to return to the current lane in time;
and S3, when an accident occurs, the airbag monitoring module 51 detects whether the airbag is opened, if so, the control processing module 52 enables the automatic dialing module 54 to automatically dial a traffic police so that the driver can be timely treated, and meanwhile, the video acquisition module 53 acquires information of the driving process and stores the acquired video into the data storage module 55.
Further, in the embodiment of the present invention, in step S3, after the collected video is stored in the data storage module 55, the data storage module 55 transmits the information to the cloud platform 3, so as to be convenient for being kept as an evidence for viewing.
And those not described in detail in this specification are well within the skill of those in the art.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Claims (10)
1. The utility model provides a processing apparatus of on-vehicle video monitoring data based on big data which characterized in that: the traffic accident monitoring system comprises a monitoring processor (1), a WiFi module (2), a cloud platform (3), a behavior monitoring system (4), an accident handling system (5) and a traffic detection system (6), wherein the monitoring processor (1) is connected with the cloud platform (3) through the WiFi module (2), the monitoring processor (1) is connected with the behavior monitoring system (4), the accident handling system (5) and the traffic detection system (6), the behavior monitoring system (4) is used for monitoring dangerous driving behaviors of users, the traffic detection system (6) is used for monitoring driving specifications of the users, and the accident handling system (5) is used for handling traffic accident conditions;
behavior monitoring system (4) is including analysis module (41) and monitoring module (42), action entry module (43), regional response module (44), time threshold value module (45) and voice module (46), monitoring module (42) are used for monitoring user's driving action, action entry module (43) are used for entering the dangerous behavior picture that the driver drove, regional response module (44) are used for responding to monitoring module (42) and detect user's driving display area, analysis module (41) carry out the analysis to the data that detect, judge whether there is dangerous driving in the user, if there is, voice module (46) send voice prompt.
2. The big data-based vehicle-mounted video monitoring data processing device according to claim 1, wherein: the input end of the analysis module (41) is connected with the output ends of the monitoring module (42), the behavior recording module (43), the area sensing module (44) and the time threshold module (45) through wires, and the output end of the analysis module (41) is connected with the input end of the voice module (46) through wires.
3. The big data-based vehicle-mounted video monitoring data processing device according to claim 1, wherein: the behavior entry module (43) comprises pictures of smoking, yawning and eye closing states of the driver, the time threshold module (45) is a time threshold for yawning and eye closing of the user, and when the violation behavior of the driver is monitored to exceed the time threshold of the time threshold module (45), the driver is judged to be dangerous driving.
4. The big data-based vehicle-mounted video monitoring data processing device according to claim 1, wherein: the cloud platform (3) comprises an upgrading module (31), and the upgrading module (31) is used for remotely upgrading the vehicle-mounted video monitoring on line.
5. The big data-based vehicle-mounted video monitoring data processing device according to claim 1, wherein: accident processing system (5) is including gasbag monitoring module (51) and control processing module (52), video acquisition module (53), autodial module (54) and data storage module (55), the output of gasbag monitoring module (51) is connected with the input of control processing module (52) through the wire, the output of control processing module (52) passes through the wire respectively with the input electric connection of video acquisition module (53) and autodial module (54), the output of video acquisition module (53) passes through the wire and the input electric connection of data storage module (55).
6. The big data-based vehicle-mounted video monitoring data processing device according to claim 5, wherein: the air bag monitoring module (51) is used for monitoring the condition of the air bag, when the air bag is opened, the control processing module (52) enables the automatic dialing module (54) to dial automatically for a traffic police, so that a driver can be timely treated, meanwhile, the video acquisition module (53) acquires videos of the driving process, the videos are stored in the data storage module (55), and then the videos are uploaded to the cloud platform (3) to be convenient for being inquired as evidences.
7. The big data-based vehicle-mounted video monitoring data processing device according to claim 1, wherein: the traffic detection system (6) comprises a real-time monitoring module (61), a GPS positioning module (62), an obstacle ranging module (63), a turn signal module (64), a camera module (65), a route acquisition module (66), a control module (67), an early warning module (68), a brake module (69) and a steering module (610), the input end of the real-time monitoring module (61) is respectively and electrically connected with the output ends of the GPS positioning module (62), the obstacle ranging module (63), the turn signal module (64), the camera module (65) and the route acquisition module (66) through leads, the output end of the real-time monitoring module (61) is electrically connected with the input end of the control module (67) through a lead, the output end of the control module (67) is electrically connected with the input ends of the early warning module (68), the brake module (69) and the steering module (610) through wires respectively.
8. The big data-based vehicle-mounted video monitoring data processing device according to claim 7, wherein: the real-time monitoring module (61) monitors the collision and lane deviation conditions of the driver in real time according to the GPS positioning module (62), the obstacle ranging module (63), the direction lamp module (64), the camera module (65) and the route acquisition module (66), the control module (67) controls the early warning module (68), the brake module (69) and the steering module (610) to work respectively, the driver is warned and the dangerous condition is corrected in time.
9. A processing device for vehicle-mounted video monitoring data based on big data according to any claim 1 to 8, characterized in that the processing method comprises the following steps:
s1, a photo of a person smoking, yawning and eye closing state is recorded in an action recording module (43), a yawning frequency threshold value and an eye closing time threshold value are set in a time threshold value module (45), a driver of a monitoring module (42) carries out online monitoring, an area sensing module (44) senses whether the driver is in a driving display area through the monitoring module (42), if the driver is not in the display area, dangerous driving is judged, when the yawning and the eye closing of the driver exceed the threshold value of the time threshold value module (45), dangerous driving is judged, and when the driver smokes, an analysis module (41) can judge that the driver has dangerous driving according to the recorded picture, signals are transmitted to a voice module (46), and the voice module (46) sends out voice warning to remind the driver;
s2, a barrier distance measuring module (63) detects the distance between a vehicle and a front vehicle, a route collecting module (66) collects road routes, when the vehicle is too close to the front vehicle, a control module (67) enables an early warning module (68) to send out early warning, and simultaneously a brake module (69) and a steering module (610) work to brake and steer so as to avoid collision, and when a direction lamp is not turned on and the vehicle deviates, the control module (67) enables the early warning module (68) to warn a driver to return to the current lane in time;
s3, when an accident happens, the airbag monitoring module (51) detects whether the safety airbag is opened, if so, the control processing module (52) enables the automatic dialing module (54) to automatically dial the traffic police to enable the driver to be rescued in time, meanwhile, the video acquisition module (53) acquires information of the driving process and stores the acquired video into the data storage module (55).
10. The big data-based processing method for the vehicle-mounted video monitoring data according to claim 9, characterized in that: in step S3, after the collected video is stored in the data storage module (55), the data storage module (55) transmits the information to the cloud platform (3), so that the information can be conveniently kept as evidence for viewing.
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