CN110930726A - Driver driving time monitoring system and method based on face recognition - Google Patents
Driver driving time monitoring system and method based on face recognition Download PDFInfo
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- CN110930726A CN110930726A CN201911265832.5A CN201911265832A CN110930726A CN 110930726 A CN110930726 A CN 110930726A CN 201911265832 A CN201911265832 A CN 201911265832A CN 110930726 A CN110930726 A CN 110930726A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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- 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
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- 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
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
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Abstract
The invention discloses a driver driving time monitoring system and method based on face recognition. The invention collects the face image of the driver, identifies the identity of the driver according to the face image of the driver, times the driving time after the successful identification and the vehicle start, and gives an alarm for long-time driving if the driving time exceeds the set driving time. The driving time monitoring method based on the human face features automatically carries out periodic recognition and driving time recording on the human face features of the current driver, and has the advantages of high intelligent degree, reliable performance and simple and convenient use due to high uniqueness degree of the identity of the driver.
Description
Technical Field
The invention belongs to the technical field of automobiles, and particularly relates to a driver driving time monitoring system and method based on face recognition.
Background
The drivers are easy to cause driving fatigue and bring hidden dangers to traffic safety when driving vehicles for a long time, so that the domestic road traffic safety regulations require that the continuous driving of motor vehicles can not exceed 4 hours. At present, in order to implement national regulations and strengthen vehicle operation supervision, a long-distance vehicle operation company and a hazardous chemical substance transport vehicle are provided with a running recorder to monitor the driving time of a driver. The automobile data recorder monitors the driving time of a driver by identifying the driver identity identification card, gives an alarm when monitoring that the continuous driving time of the driver is about to or exceeds the time (4 hours) specified by the regulation, reminds the driver to have a rest in time and avoids long-time driving. This type of driving time monitoring needs the driver to actively plug and pull the identification card to monitor the driving time, but the situations that the driver forgets to carry the identification card, the identification card is damaged, the driver is replaced in the driving process but the identification card is not replaced and the like often occur, so that the driving time monitoring cannot be performed or the monitored driving time is inaccurate.
Disclosure of Invention
The invention aims to solve the defects of the background technology and provide a driver driving time monitoring system and method based on face recognition.
The technical scheme adopted by the invention is as follows: a driver driving time monitoring system based on face recognition comprises
The face image acquisition module is used for periodically acquiring face images of a driver and sending the acquired face images to the face recognition controller;
the face recognition controller is used for receiving the face image to identify the identity of the driver, and sending the identity of the driver to the driving time monitoring module after the face image is successfully identified;
the driving time monitoring module is used for acquiring a vehicle state signal and parameters, judging whether the vehicle is in a starting state or not, receiving the identity of a driver and sending a driving timing signal to the first timing module after judging that the vehicle is in the starting state; the driving alarm module is used for sending an alarm signal to the driving alarm module after judging that the driving time exceeds the set driving time;
the first timing module is used for timing the driving time when receiving the driving timing signal and sending the driving time to the driving time monitoring module;
and the driving alarm module is used for giving a long-time driving alarm after receiving the alarm signal.
The second timing module is used for timing rest time when receiving a rest timing signal and sending the rest time to the driving time monitoring module; and the driving time monitoring module sends a rest timing signal to the second timing module when the parking is detected.
Further, when the second timing module performs rest time timing, the first timing module continues timing; and the driving time monitoring module determines whether to continue to give an alarm for long-time driving according to the rest time and the driving time.
Further, the driving time monitoring module controls the first timing module to be reset and the second timing module to be reset when judging that the rest time exceeds the set rest time; and after the vehicle is judged to be restarted and the identity of the driver is successfully identified, the driving timing signal is retransmitted to the first timing module.
Furthermore, when the driving time monitoring module judges that the rest time does not exceed the set rest time and the vehicle is restarted, the driving time monitoring module controls the second timing module to be reset, identifies the identity of the driver and judges whether the driver is replaced: when the driver is judged not to be replaced, the first timing module is controlled to continue timing, and an alarm signal is sent to the driving alarm module after the driving time exceeds the set driving time; and when the driver is judged to be replaced, the first timing module is controlled to be reset, and the driving timing signal is sent to the first timing module again.
A driver driving time monitoring method based on face recognition is characterized in that face images of a driver are collected periodically, the identity of the driver is recognized in real time according to the face images of the driver, the driving time is counted after the vehicle is started after the recognition is successful, and long-time driving alarming is carried out if the driving time exceeds set driving time.
Further, if the driving time does not exceed the set driving time and parking is detected, rest time timing is carried out, driving time timing is continued, and whether long-time driving alarming is continued or not is determined according to the rest time and the driving time.
Further, if the rest time exceeds the set rest time, the driving time is controlled to be reset, the rest time is controlled to be reset, and the driving time is counted again after the vehicle is restarted.
Furthermore, if the rest time does not exceed the set rest time and the vehicle is restarted, the rest time is controlled to be reset, the facial image of the driver is collected for identification, and whether the driver is replaced or not is judged: when the driver is judged not to be replaced, long-time driving alarm is carried out after the driving time exceeds the set driving time; and when the driver is judged to be replaced, controlling the driving time to be reset, and timing the driving time again.
The invention is monitored based on a face recognition technology, a set of face feature recognition system is installed on a vehicle to periodically recognize the face features of a driver, the driving time of the driver is continuously recorded, and when the continuous driving time of the driver is detected to be about to or exceed the specified time (4 hours), an alarm is given to remind the driver to stop and rest in time so as to avoid long-time fatigue driving. The driving time monitoring method based on the human face features automatically identifies and records the human face features of the current driver, and has high intelligent degree, reliable performance and simple and convenient use because of high uniqueness degree of the driver identity; in addition, in the driving time monitoring process, the invention also monitors the conditions of temporary stop or midway rest and midway driver replacement at the same time, so that the monitoring of the driving time of the driver is more accurate.
Drawings
FIG. 1 is a schematic block diagram of the system of the present invention.
FIG. 2 is a control flow chart of the present invention.
Detailed Description
The following further describes embodiments of the present invention with reference to the drawings. It should be noted that the description of the embodiments is provided to help understanding of the present invention, but the present invention is not limited thereto. In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
As shown in FIG. 1, the invention provides a driver driving time monitoring system based on face recognition, which comprises
The face image acquisition module 1 is used for periodically acquiring face images of a driver and sending the acquired face images to the face recognition controller; the human face image acquisition module consists of a camera, and the camera is arranged in front of the driver or at a position capable of shooting the face of the driver, so that the camera can shoot the face of the driver.
The face recognition controller 2 is used for receiving the face image to recognize the identity of the driver and sending the identity of the driver to the driving time monitoring module after the face image is successfully recognized; the specific process of the face recognition controller is as follows: after receiving the face image, analyzing the face image, extracting face characteristic information (such as characteristic parts of eyelids, nose bridge, mouth and the like), and storing the face characteristic information in a digital form for comparison during subsequent driver identity recognition.
And the driving time monitoring module 3 is used for acquiring vehicle related state signals and parameters from a vehicle bus, judging whether the vehicle is started or not and judging whether a driver is in a driving state or not so as to monitor the driving time. The vehicle state signals and parameters comprise ignition switch signals, parking signals, vehicle speed, engine rotating speed and the like, and the conditions for judging the vehicle starting are as follows: the engine is running and the vehicle park signal is deactivated.
The driving time monitoring module carries out the specific process of driving time monitoring as follows: after receiving the identity of a driver and judging the starting of a vehicle, sending a driving timing signal to a first timing module; when the parking is detected when the driving time is judged not to exceed the set driving time, if the parking is possibly temporary, a driver is replaced or the middle part is in rest, a rest timing signal is sent to the second timing module; and sending an alarm signal to the driving alarm module after judging that the driving time exceeds the set driving time.
And the driving time monitoring module determines whether to continue long-time driving alarm or not according to the rest time and the driving time. When judging that the rest time exceeds the set rest time, the driving time monitoring module controls the first timing module to be reset and the second timing module to be reset; and after the vehicle is judged to be restarted and the identity of the driver is received, the driving timing signal is sent to the first timing module again. When the driving time monitoring module judges that the rest time does not exceed the set rest time, the vehicle is restarted, the second timing module is controlled to be reset, the identity of the driver is identified, whether the driver is replaced is judged, the identification process is to compare the currently received identity of the driver with the identity of the driver at the last time, if the similarity exceeds a certain value (such as 90% or 80%), the driver is judged not to be replaced, and if the similarity is lower than a certain value (such as 80% or 70%), the driver is judged to be replaced: when the driver is judged not to be replaced, the first timing module continues to time, and sends an alarm signal to the driving alarm module after the driving time exceeds the set driving time; and when the driver is judged to be replaced, the first timing module is controlled to be reset, and the driving timing signal is sent to the first timing module again.
And the first timing module 4 is used for timing the driving time when the driving timing signal is received and sending the driving time to the driving time monitoring module.
The second timing module 5 is used for timing the rest time when receiving the rest timing signal and sending the rest time to the driving time monitoring module; when the second timing module performs rest time counting, the first timing module continues to count time.
And the driving alarm module 6 is used for giving a long-time driving alarm after receiving the alarm signal, the driving alarm module can be an instrument on the vehicle, a vehicle-mounted display screen, an indicator lamp, a buzzer and other electronic devices, the alarm signal output by the driving time monitoring module is provided for the instrument on the vehicle through a bus interface or other modes, the vehicle-mounted display screen and other electronic devices, and the auditory sense, visual reminding and alarm of various forms such as voice, character information, an alarm lamp and the like are realized, so that the driver is reminded of parking and resting in time by prompting, and long-time fatigue driving is avoided.
Based on the vehicle driving time monitoring system, the invention also provides a driver driving time monitoring method based on face recognition, as shown in fig. 2, the face image of the driver is periodically collected by the face image collecting module, the face recognition controller periodically identifies and confirms the identity of the driver according to the face image of the driver, and the identity characteristics of the current driver are recorded.
The driver is identified to succeed, the driving time is counted through the first timing module after the vehicle is started, if the fact that the driving time exceeds the set driving time (such as 4 hours) and the vehicle does not stop for rest is detected, an alarm signal is output to the driving alarm module, long-time driving alarm is conducted, the driver is reminded to have a rest in time, and long-time fatigue driving is avoided.
If the driving time does not exceed the set driving time and the parking is detected, the second timing module is used for timing the rest time, and meanwhile, the first timing module continues to time the driving time and monitors the temporary parking or rest time of the driver. And determining whether to continue long-time driving alarm or not according to the rest time and the driving time. The condition for detecting the stop is that the parking signal is active and the vehicle speed is zero, or that the engine stops operating.
If the rest time does not exceed the set rest time and the vehicle is detected to be restarted, controlling a second timing module to be reset, simultaneously acquiring the face image of the driver for recognition, and judging whether the driver is replaced: when the driver is judged not to be replaced, long-time driving alarm is carried out after the driving time timed by the first timing module exceeds the set driving time; and when the driver is judged to be replaced, the first timing module is controlled to be reset, and the first timing module is used for timing the driving time again.
And if the rest time exceeds the set rest time (such as 20 minutes), the first timing module is controlled to be reset, the second timing module is controlled to be reset, and the first timing module is controlled to reset the driving time after the vehicle is started again.
The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Those not described in detail in this specification are within the skill of the art.
Claims (9)
1. A driver driving time monitoring system based on face recognition is characterized in that: comprises that
The face image acquisition module is used for periodically acquiring face images of a driver and sending the acquired face images to the face recognition controller;
the face recognition controller is used for receiving the face image to identify the identity of the driver, and sending the identity of the driver to the driving time monitoring module after the face image is successfully identified;
the driving time monitoring module is used for acquiring a vehicle state signal and parameters, judging whether the vehicle is in a starting state or not, receiving the identity of a driver and sending a driving timing signal to the first timing module after judging that the vehicle is in the starting state; the driving alarm module is used for sending an alarm signal to the driving alarm module after judging that the driving time exceeds the set driving time;
the first timing module is used for timing the driving time when receiving the driving timing signal and sending the driving time to the driving time monitoring module;
and the driving alarm module is used for giving a long-time driving alarm after receiving the alarm signal.
2. The system for monitoring the driving time of the driver based on the face recognition as claimed in claim 1, wherein: the second timing module is used for timing rest time when receiving a rest timing signal and sending the rest time to the driving time monitoring module; and the driving time monitoring module sends a rest timing signal to the second timing module when the parking is detected.
3. The system for monitoring the driving time of the driver based on the face recognition as claimed in claim 2, wherein: when the second timing module performs rest time counting, the first timing module continues to count time; and the driving time monitoring module determines whether to continue to give an alarm for long-time driving according to the rest time and the driving time.
4. The system for monitoring the driving time of the driver based on the face recognition as claimed in claim 3, wherein: the driving time monitoring module controls the first timing module to be reset and the second timing module to be reset when judging that the rest time exceeds the set rest time; and after the vehicle is judged to be restarted and the identity of the driver is successfully identified, the driving timing signal is retransmitted to the first timing module.
5. The system for monitoring the driving time of the driver based on the face recognition as claimed in claim 3, wherein: the driving time monitoring module controls the second timing module to reset when judging that the rest time does not exceed the set rest time and the vehicle is restarted, identifies the identity of the driver and judges whether to replace the driver: when the driver is judged not to be replaced, the first timing module is controlled to continue timing, and an alarm signal is sent to the driving alarm module after the driving time exceeds the set driving time; and when the driver is judged to be replaced, the first timing module is controlled to be reset, and the driving timing signal is sent to the first timing module again.
6. A driver driving time monitoring method based on face recognition is characterized in that: the method comprises the steps of periodically collecting face images of a driver, identifying the identity of the driver in real time according to the face images of the driver, timing driving time after the vehicle is started after the identification is successful, and giving an alarm in long-time driving if the driving time exceeds the set driving time.
7. The method for monitoring the driving time of the driver based on the face recognition as claimed in claim 6, wherein: and if the driving time does not exceed the set driving time and the parking is detected, timing the rest time, simultaneously continuing to time the driving time, and determining whether to continue to give an alarm for long-time driving according to the rest time and the driving time.
8. The method for monitoring the driving time of the driver based on the face recognition as claimed in claim 7, wherein: and if the rest time exceeds the set rest time, controlling the driving time to be reset and the rest time to be reset, and restarting the vehicle and then timing the driving time again.
9. The method for monitoring the driving time of the driver based on the face recognition as claimed in claim 7, wherein: if the rest time does not exceed the set rest time and the vehicle is restarted, the rest time is controlled to be reset, the facial image of the driver is collected for recognition, and whether the driver is replaced or not is judged: when the driver is judged not to be replaced, long-time driving alarm is carried out after the driving time exceeds the set driving time; and when the driver is judged to be replaced, controlling the driving time to be reset, and timing the driving time again.
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Cited By (1)
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