CN114463933A - Monitoring system and method based on face recognition - Google Patents
Monitoring system and method based on face recognition Download PDFInfo
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
- G08B21/0205—Specific application combined with child monitoring using a transmitter-receiver system
- G08B21/0208—Combination with audio or video communication, e.g. combination with "baby phone" function
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- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
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- G08B3/00—Audible signalling systems; Audible personal calling systems
- G08B3/10—Audible signalling systems; Audible personal calling systems using electric transmission; using electromagnetic transmission
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
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Abstract
The invention relates to a monitoring system based on face recognition, which comprises two cameras, four signal lamps and a central processing unit, wherein a loudspeaker unit and an audio recording unit are arranged in each of the two cameras, a storage module, a communication module, a GPS (global positioning system) positioning module, a face recognition module and a language module are arranged in the central processing unit, the communication module is in communication connection with a background terminal, the background terminal is provided with a sound receiver, the power input end of the central processing unit is electrically connected with the power output end of a vehicle storage battery, the power output end of the central processing unit is electrically connected with the power input ends of the two cameras and the four signal lamps, and the cameras are in signal connection with the central processing unit. The invention also provides a monitoring method based on face recognition.
Description
Technical Field
The invention belongs to the technical field of monitoring, and particularly relates to a monitoring system and a monitoring method based on face recognition.
Background
In the taxi industry today, due to the particularity of work, taxi drivers may carry various people, and the taxi content in the country is huge, and some special people such as: wanted people and wanted selling people can carry taxis, however, taxi drivers are unaware of carrying such passengers, particularly, when wanted people are carried, the drivers have no preparation and are easy to hurt the personal safety of the drivers, and if the drivers do not know when the wanted people are carried, the drivers cannot help under the condition that the conditions allow.
Disclosure of Invention
The purpose of the invention is: the monitoring system and the monitoring method based on face recognition are provided to solve the problems in the background technology.
In order to achieve the technical purpose, the technical scheme adopted by the invention is as follows:
a monitoring system based on face recognition comprises two cameras, four signal lamps and a central processing unit, wherein a loudspeaker unit and an audio recording unit are arranged in each of the two cameras, a storage module, a communication module, a GPS (global positioning system) positioning module, a face recognition module and a language module are arranged in each of the central processing units, the communication module is in communication connection with a background terminal, the background terminal is provided with a sound receiver, the power input end of the central processing unit is electrically connected with the power output end of a vehicle storage battery, the power output end of the central processing unit is electrically connected with the power input ends of the two cameras and the four signal lamps, and the cameras are in signal connection with the central processing unit;
the two cameras are arranged in the vehicle, monitor the other four positions except the driving position and transmit monitoring signals to the central processing unit;
the audio recording unit is arranged on the outer surface of the camera, records the audio in the vehicle and transmits the audio signal to the central processing unit;
the storage module is used for storing the monitoring signals and the audio signals and storing the facial features of wanted people and abducted people;
the central processing unit is used for receiving signals transmitted by the cameras and the background terminal, storing monitoring signals and audio signals transmitted by the cameras in the storage module, performing number division marking on four positions monitored by the two cameras, extracting the face features of the four monitoring positions through the face recognition module, and comparing the face features of wanted people and face features of abducted people stored in the storage module one by one;
the four signal lamps are arranged on the front side of the cab and correspond to the four monitoring positions respectively, so that a driver can determine which passenger is wanted or wanted;
the central processing unit detects that one or more of the four detection positions are the same as the facial features of wanted and wanted persons stored in the storage module through the face recognition module, supplies power to one or more corresponding signal lamps to enable the signal lamps to be lightened to give an alarm to a driver, can transmit signals to the background terminal through the communication module, gives an alarm to background workers through the background terminal, and transmits monitoring signals and audio signals to the background terminal, and transmits the position of the vehicle to the background terminal through the GPS positioning module to be checked by the background workers;
background workers can realize remote communication in the vehicle through a sound receiver, a communication module and a loudspeaker unit carried by the background terminal;
two sentences of 'secret words' are assembled in the language module, the two sentences of 'secret words' are first secret words and second secret words respectively, when a central processing unit identifies that the face characteristics of a passenger and wanted people are consistent, the first secret words are transmitted to the two cameras, the first secret words are played through loudspeaker units of the cameras to remind the driver of the wanted people on the locomotive, when the central processing unit identifies that the face characteristics of the passenger and the wanted people are consistent, the second secret words are transmitted to the two cameras, the second secret words are played through loudspeaker units of the cameras to remind the driver of the wanted people on the locomotive.
And the two cameras are all provided with infrared camera units. The design of the infrared camera unit is convenient for the camera to carry out camera monitoring under the dim condition of the lighting environment in the vehicle.
The storage module is also internally stored with facial features of people who walk away from home, the central processing unit can compare the extracted facial information of passengers with the facial features of the people who walk away from home, the language module is also internally stored with third-generation secret words, and when the central processing unit identifies that the facial features of the passengers and the people who walk away from home are consistent, the third-generation secret words are transmitted to the two cameras and are played through the loudspeaker units of the cameras to remind a driver of the people who walk away from home. The design can remind the driver that the facial features of passengers in the driver are consistent with the facial features of people leaving home, and the driver can conveniently react according to actual conditions.
The power output end of the central processing unit is connected with a one-key alarm button, and the one-key alarm button is in signal connection with the central processing unit. When a driver is in danger, the driver can press a key alarm button to transmit alarm information to the central processing unit, and the central processing unit transmits the alarm information to the background terminal through the communication module to give an alarm to background workers.
The four signal lamps are different in color and are respectively red, blue, purple and white. The design can increase the identification degree of four signal lamps, and is convenient for drivers to distinguish.
The monitoring method based on the face recognition comprises the following steps:
the method comprises the following steps: the two cameras are respectively an A camera and a B camera, the A camera and the B camera are both installed inside the taxi, the A camera is installed on the front side of the copilot and monitors the position of the copilot and the position of the rear left side, the B camera is installed on the upper side between the position of the copilot and the driving position and monitors the positions of the rear middle position and the rear right position, monitoring signals are transmitted to the central processing unit, and the central processing unit stores the monitoring signals through the storage module;
step two: because the two positions monitored by the camera A and the camera B are respectively positioned at the left side and the right side of the monitoring picture, the central processing unit cuts off the monitoring picture of the camera A from the middle part, the monitoring positions at the left side and the right side are respectively marked as A left and A right, the central processing unit cuts off the monitoring picture of the camera B from the middle part, the monitoring positions at the left side and the right side are respectively marked as B left and B right, and the central processing unit can respectively identify the faces in the monitoring areas at the left side, the right side, the B left and the B right by the face identification module and compare the faces with the facial features of wanted persons and abducted persons stored in the storage module one by one;
step three: when the central processing unit identifies and contrasts four monitoring positions of A left, A right, B left and B right, and the facial features of passengers at one or more positions are consistent with the facial features of wanted people, the central processing unit sends information to the background terminal through the communication module and gives an alarm to background workers, wanted people exist in the vehicle, the central processing unit transmits monitoring signals and audio signals in the vehicle to the background terminal for the background workers to check, and simultaneously sends vehicle position information to the background terminal through the GPS positioning module, and the background workers can perform alarm processing according to the information;
step four: when the central processing unit identifies that the facial features of passengers in the vehicle are consistent with the facial features of wanted people, the first secret words in the language module are transmitted to the two cameras and are played through the sound amplifying units of the two cameras, so that the driver is reminded that the facial features of the passengers in the vehicle are consistent with the facial features of the wanted people while the driver does not arouse the alertness of the passengers;
step five: the four signal lamps correspond to the four monitoring positions respectively, so that the four signal lamps correspond to the four monitoring positions of A left, A right, B left and B right respectively, when the central processing unit recognizes that the facial features of a passenger at one position are the same as the facial features of the wanted person, the signal lamps corresponding to the positions can be supplied with power, the signal lamps are lightened, a driver can conveniently confirm the position of the wanted person in the vehicle, the driver can know the position of the passenger in the vehicle, which is consistent with the facial features of the wanted person, through the fourth step and the fifth step, and the driver can conveniently react according to actual conditions;
step six: when the central processing unit identifies that the facial features of passengers in the vehicle are consistent with the facial features of the people to be sold, the second secret words in the language module are transmitted to the two cameras and are played through the sound amplifying units of the two cameras, so that the driver is reminded that the facial features of the passengers in the vehicle are consistent with the facial features of the people to be sold while the driver is not alerted;
step seven: when the central processing unit identifies that the facial features of passengers in the vehicle are consistent with the facial features of the persons to be sold, the central processing unit sends information to the background terminal through the communication module to give an alarm to the background staff, the persons to be sold exist in the vehicle, the central processing unit transmits monitoring signals and audio signals in the vehicle to the background terminal for the background staff to check, and meanwhile, the vehicle position information is sent to the background terminal through the GPS positioning module, and the background staff can give an alarm according to the information;
step eight: similarly, the position of the passenger in the car, which is consistent with the facial features of the person to be sold, can be obtained according to the signal lamp, so that the driver can respond according to the actual condition;
background staff can send information to the central processing unit through the background terminal, and face features of wanted and wanted persons stored in the storage module are updated frequently. By the design, the facial features of wanted and wanted people stored in the storage module are updated, and the accuracy and the real-time performance of information stored in the storage module are guaranteed.
The invention has reasonable design, can inform a taxi driver, can inform the driver that the facial features of passengers in the taxi are the same as the facial features of wanted or wanted persons under the condition that the passengers are not frightened, and accurately inform the driver that the facial features of the passengers in the taxi are the same as the facial features of the wanted or wanted persons, and accurately inform the driver that the passengers are the same as the facial features of the people of which class, and also accurately inform the driver of the position where the passengers sit in the taxi, meanwhile, a central processing unit sends in-taxi monitoring signals, audio signals and the position of the taxi to a background terminal to alarm background workers, and the background workers can carry out alarm processing and send information to police so as to facilitate the police to control the condition of the taxi, improve the solution breaking efficiency and inform the driver of the in-taxi condition so as to facilitate the response of the driver according to the actual condition, the safety of the police is protected, and meanwhile, the police can be assisted to solve a case under the condition that the condition allows.
Drawings
The invention is further illustrated by the non-limiting examples given in the accompanying drawings;
FIG. 1 is a schematic diagram of a system structure of an embodiment of a monitoring system and method based on face recognition according to the present invention;
FIG. 2 is a schematic view of a flow structure of an embodiment of a monitoring system and method based on face recognition according to the present invention;
FIG. 3 is a schematic diagram of installation distribution of two cameras in an embodiment of a monitoring system and method based on face recognition;
FIG. 4 is a schematic view of a monitoring image of a camera in an embodiment A of the monitoring system and method based on face recognition;
FIG. 5 is a schematic view of a monitoring image of a camera in an embodiment B of the monitoring system and method based on face recognition;
the main element symbols are as follows:
the system comprises a camera 1, a camera 101A, a camera 102B, a signal lamp 11, a loudspeaker unit 12, an audio recording unit 13, an infrared camera unit 14, a central processing unit 2, a storage module 21, a communication module 22, a GPS positioning module 23, a face recognition module 24, a language module 241, a background terminal 25, a sound receiver 26 and a one-key alarm button 27.
Detailed Description
In order that those skilled in the art can better understand the present invention, the following technical solutions are further described with reference to the accompanying drawings and examples.
As shown in fig. 1-5, the monitoring system based on face recognition of the present invention includes two cameras 1, four signal lamps 11 and a central processing unit 2, a speaker unit 12 and an audio recording unit 13 are respectively disposed in each of the two cameras 1, a storage module 21, a communication module 22, a GPS positioning module 23, a face recognition module 24 and a language module 241 are disposed in the central processing unit 2, the communication module 22 is communicatively connected with a background terminal 25, the background terminal 25 is equipped with a sound receiver 26, a power input end of the central processing unit 2 is electrically connected with a power output end of a vehicle battery, the power output end of the central processing unit 2 is electrically connected with power input ends of the two cameras 1 and the four signal lamps 11, and the cameras 1 are in signal connection with the central processing unit 2. Two cameras 1 all install inside the vehicle, monitor other four positions except driving position to give central processing unit 2 with monitoring signal transmission.
The audio recording unit 13 is arranged on the outer surface of the camera 1, records audio in the vehicle, and transmits audio signals to the central processing unit 2. The storage module 21 is used for storing monitoring signals and audio signals, and storing facial features of wanted people and abducted people.
The central processing unit 2 is used for receiving signals transmitted by the cameras 1 and the background terminal 25, storing monitoring signals and audio signals transmitted by the cameras 1 in the storage module 21, performing number division marking on four positions monitored by the two cameras 1, extracting face features of the four monitoring positions through the face recognition module 24, and comparing the face features of wanted people and wanted people stored in the storage module 21 one by one. Four signal lamps 13 all set up in the driver's cabin front side, and four signal lamps 13 correspond with four control positions respectively, and the driver of being convenient for determines which passenger is wanted personnel or is abducted personnel.
The central processing unit 2 detects that one or more of the four detection positions are the same as the facial features of wanted and wanted persons stored in the storage module 21 through the face recognition module 24, the central processing unit 2 supplies power to the corresponding one or more signal lamps 13 to enable the signal lamps 13 to be lightened to give an alarm to a driver, the central processing unit 2 can transmit signals to the background terminal 25 through the communication module 22, give an alarm to background workers through the background terminal 25, transmit monitoring signals and audio signals to the background terminal 25, and the central processing unit 2 further transmits the positions of the vehicles to the background terminal 25 through the GPS positioning module 23 to be checked by the background workers. The background staff can realize remote communication in the vehicle through the sound receiver 25, the communication module 22 and the loudspeaker unit 12 carried by the background terminal 25.
In this embodiment, two sentences of "secret words" are assembled in the language module 241, and two sentences of "secret words" are first secret words and second secret words respectively, and when central processing unit 2 identified that there is the passenger unanimous with wanted person face characteristic, will a secret word convey two cameras 1, play through the megaphone unit 12 of camera 1, remind and have wanted person on the driver's locomotive, when central processing unit 2 identified that there is the passenger unanimous with wanted person face characteristic, convey two cameras 1 with second secret words to, play through the megaphone unit 12 of camera 1, remind and have the people of being abducted on the driver's locomotive.
The two cameras 1 are each equipped with an infrared camera unit 14. The design of the infrared camera unit 14 is convenient for the camera 1 to perform camera monitoring under the condition that the light environment in the vehicle is dim.
Still store in the storage module 21 and leave the family and walk personnel facial feature, central processing unit 2 can go into the contrast to the passenger facial information who draws and leave the family and walk personnel facial feature, and third of the ten heavenly stems are still stored in language module 241, and when central processing unit 2 discerned that there is the passenger and leaves the family and walk personnel facial feature unanimously, send third of the ten heavenly stems to two cameras 1, play through the megaphone unit 12 of camera 1, remind the driver to exist on the locomotive and leave the family and walk personnel. The design can remind the driver that the facial features of passengers in the driver are consistent with the facial features of people leaving home, and the driver can conveniently react according to actual conditions.
The power supply output end of the central processing unit 2 is connected with a one-key alarm button 27, and the one-key alarm button 27 is in signal connection with the central processing unit 2. When a driver is in danger, the driver can press the one-key alarm button 27 to transmit alarm information to the central processing unit 2, and the central processing unit 2 transmits the alarm information to the background terminal 25 through the communication module 22 to give an alarm to background staff.
The four signal lights 11 are all of different colors, red, blue, violet and white. The design can increase the identification degree of the four signal lamps 11, and is convenient for drivers to distinguish.
The invention also provides a monitoring method based on face recognition, and the preferred implementation mode of the monitoring method based on face recognition comprises the following steps:
the method comprises the following steps: the two cameras 1 are respectively an A camera 101 and a B camera 102, the A camera 101 and the B camera 102 are both installed inside a taxi, the A camera 101 is installed on the front side of a copilot and used for monitoring the position of the copilot and the position of the rear left side, the B camera 102 is installed on the upper side between the position of the copilot and the driving position and used for monitoring the position of the rear middle position and the position of the rear right position and transmitting monitoring signals to the central processing unit 2, and the central processing unit 2 stores the monitoring signals through the storage module;
step two: because the two positions monitored by the camera A101 and the camera B102 are respectively positioned at the left side and the right side of the monitoring picture, the central processing unit 2 cuts off the monitoring picture of the camera A101 from the middle part, the monitoring positions at the left side and the right side are respectively marked as A left and A right, the central processing unit 2 cuts off the monitoring picture of the camera B102 from the middle part, the monitoring positions at the left side and the right side are respectively marked as B left and B right, and the central processing unit 2 can respectively identify the human faces in the monitoring areas at the left side A, the right side A, the left side B and the right side B through the human face identification module 24 and compare the human faces with the facial features of wanted people and the wanted people stored in the storage module 21 one by one;
step three: when the central processing unit 2 identifies and contrasts four monitoring positions of A left, A right, B left and B right, and the facial features of passengers at one or more positions are consistent with the facial features of wanted people, the central processing unit 2 sends information to the background terminal 25 through the communication module 121 to give an alarm to background workers, the wanted people exist in the vehicle, the central processing unit 2 transmits monitoring signals and audio signals in the vehicle to the background terminal 25 for the background workers to check, and simultaneously sends vehicle position information to the background terminal 25 through the GPS positioning module 23, and the background workers can perform alarm processing according to the information;
step four: when the central processing unit 2 identifies that the facial features of passengers in the vehicle are consistent with the facial features of wanted people, the first secret words in the language module 241 are transmitted to the two cameras 1 and are played through the sound amplifying units 12 of the two cameras 1, so that the driver is reminded that the facial features of the passengers in the vehicle are consistent with the facial features of the wanted people while the driver is not alerted;
step five: the four signal lamps 11 correspond to the four monitoring positions respectively, so that the four signal lamps 11 correspond to the four monitoring positions of A left, A right, B left and B right respectively, when the central processing unit 2 recognizes that the facial features of a passenger at one position are the same as those of a wanted person, the signal lamps 11 corresponding to the positions can be supplied with power, the signal lamps 11 are lightened, a driver can conveniently confirm the position of the wanted person in the vehicle, the driver can know the position of the passenger in the vehicle according to the facial features of the wanted person through the fourth step and the fifth step, and the driver can conveniently react according to actual conditions;
step six: when the central processing unit 2 identifies that the facial features of passengers in the vehicle are consistent with the facial features of the people to be sold, the second secret words in the language module 241 are transmitted to the two cameras 1 and are played through the sound amplifying units 12 of the two cameras 1, so that the driver is reminded that the facial features of the passengers in the vehicle are consistent with the facial features of the people to be sold while the driver is not alerted;
step seven: when the central processing unit 2 recognizes that the facial features of passengers in the vehicle are consistent with the facial features of the people to be sold, the central processing unit 2 sends information to the background terminal 25 through the communication module 121 to give an alarm to the background staff, the people to be sold exist in the vehicle, the central processing unit 2 transmits the monitoring signals and the audio signals in the vehicle to the background terminal 25 for the background staff to check, and simultaneously sends the vehicle position information to the background terminal 25 through the GPS positioning module 23, and the background staff can give an alarm according to the information;
step eight: similarly, the position of the passenger in the car, which is consistent with the facial features of the person to be sold, can be obtained according to the signal lamp 11, so that the driver can respond according to the actual condition;
background staff can send information to the central processing unit 2 through the background terminal 25, and frequently update the facial features of wanted and wanted persons stored in the storage module 21. By the design, the facial features of wanted and wanted people stored in the storage module 21 are updated, and the accuracy and the real-time performance of the information stored in the storage module 21 are guaranteed.
The invention has ingenious design, is installed in a taxi, can inform a driver that the facial features of passengers in the taxi are consistent with the facial features of wanted or wanted persons under the condition of not frightening the passengers and can accurately inform the driver of the specific positions of the passengers in the taxi, the facial features of the passengers are consistent with the facial features of the specific persons, so that the driver can respond according to the actual condition and inform the driver of transmitting in-car monitoring signals, audio signals and positioning signals to a background terminal to enable background workers to obtain in-car condition information and the specific positions of the car, and at the moment, the background workers can carry out alarm processing to send the information to police, thereby facilitating the police to control the car condition and also under the condition allowable condition, can assist the police to do case, and can also make the driver understand the passenger condition in the car, make the driver have psychological preparation, protect self safety.
The foregoing embodiments are merely illustrative of the principles of the present invention and its efficacy, and are not to be construed as limiting the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (7)
1. A monitoring system based on face recognition is characterized in that: the vehicle storage battery power supply output end is electrically connected with the power supply input end of the central processing unit, the power supply output end of the central processing unit is electrically connected with the two cameras and the power supply input ends of the four signal lamps, and the cameras are in signal connection with the central processing unit;
the two cameras are arranged in the vehicle, monitor the other four positions except the driving position and transmit monitoring signals to the central processing unit;
the audio recording unit is arranged on the outer surface of the camera, records the audio in the vehicle and transmits the audio signal to the central processing unit;
the storage module is used for storing the monitoring signals and the audio signals and storing the facial features of wanted people and abducted people;
the central processing unit is used for receiving signals transmitted by the cameras and the background terminal, storing monitoring signals and audio signals transmitted by the cameras in the storage module, performing number division marking on four positions monitored by the two cameras, extracting face features of the four monitoring positions through the face recognition module, and comparing the face features with facial features of wanted people and wanted people stored in the storage module one by one;
the four signal lamps are arranged on the front side of the cab and correspond to the four monitoring positions respectively, so that a driver can determine which passenger is wanted or wanted;
the central processing unit detects that one or more of the four detection positions are the same as the facial features of wanted and wanted persons stored in the storage module through the face recognition module, supplies power to one or more corresponding signal lamps to enable the signal lamps to be lightened to give an alarm to a driver, can transmit signals to the background terminal through the communication module, gives an alarm to background workers through the background terminal, and transmits monitoring signals and audio signals to the background terminal, and transmits the position of the vehicle to the background terminal through the GPS positioning module to be checked by the background workers;
background workers can realize remote communication in the vehicle through the sound receiver, the communication module and the loudspeaker unit which are carried by the background terminal;
two sentences of 'secret words' are assembled in the language module, the two sentences of 'secret words' are first secret words and second secret words respectively, when a central processing unit identifies that the face characteristics of a passenger and wanted people are consistent, the first secret words are transmitted to the two cameras, the first secret words are played through loudspeaker units of the cameras to remind the driver of the wanted people on the locomotive, when the central processing unit identifies that the face characteristics of the passenger and the wanted people are consistent, the second secret words are transmitted to the two cameras, the second secret words are played through loudspeaker units of the cameras to remind the driver of the wanted people on the locomotive.
2. The monitoring system based on face recognition as claimed in claim 1, wherein: and the two cameras are all provided with infrared camera units.
3. The monitoring system based on face recognition as claimed in claim 1, wherein: the storage module is also internally stored with facial features of people who walk away from home, the central processing unit can compare the extracted facial information of passengers with the facial features of the people who walk away from home, the language module is also internally stored with third-generation secret words, and when the central processing unit identifies that the facial features of the passengers and the people who walk away from home are consistent, the third-generation secret words are transmitted to the two cameras and are played through the loudspeaker units of the cameras to remind a driver of the people who walk away from home.
4. The monitoring system based on face recognition as claimed in claim 1, wherein: the power output end of the central processing unit is connected with a one-key alarm button, and the one-key alarm button is in signal connection with the central processing unit.
5. The monitoring system based on face recognition as claimed in claim 1, wherein: the four signal lamps are different in color and are respectively red, blue, purple and white.
6. A monitoring method based on face recognition, comprising any one of the monitoring systems based on face recognition of claims 1-5, characterized in that: the method comprises the following steps:
the method comprises the following steps: the two cameras are respectively an A camera and a B camera, the A camera and the B camera are both installed inside the taxi, the A camera is installed on the front side of the copilot and monitors the position of the copilot and the position of the rear left side, the B camera is installed on the upper side between the position of the copilot and the driving position and monitors the positions of the rear middle position and the rear right position, monitoring signals are transmitted to the central processing unit, and the central processing unit stores the monitoring signals through the storage module;
step two: because the two positions monitored by the camera A and the camera B are respectively positioned at the left side and the right side of the monitoring picture, the central processing unit cuts off the monitoring picture of the camera A from the middle part, the monitoring positions at the left side and the right side are respectively marked as A left and A right, the central processing unit cuts off the monitoring picture of the camera B from the middle part, the monitoring positions at the left side and the right side are respectively marked as B left and B right, and the central processing unit can respectively identify the faces in the monitoring areas at the left side, the right side, the B left and the B right by the face identification module and compare the faces with the facial features of wanted persons and abducted persons stored in the storage module one by one;
step three: when the central processing unit identifies and contrasts four monitoring positions of A left, A right, B left and B right, and the facial features of passengers at one or more positions are consistent with the facial features of wanted people, the central processing unit sends information to the background terminal through the communication module and gives an alarm to background workers, wanted people exist in the vehicle, the central processing unit transmits monitoring signals and audio signals in the vehicle to the background terminal for the background workers to check, and simultaneously sends vehicle position information to the background terminal through the GPS positioning module, and the background workers can perform alarm processing according to the information;
step four: when the central processing unit identifies that the facial features of passengers in the vehicle are consistent with the facial features of wanted people, the first secret words in the language module are transmitted to the two cameras and are played through the sound amplifying units of the two cameras, so that the driver is reminded that the facial features of the passengers in the vehicle are consistent with the facial features of the wanted people while the driver does not arouse the alertness of the passengers;
step five: the four signal lamps correspond to the four monitoring positions respectively, so that the four signal lamps correspond to the four monitoring positions of A left, A right, B left and B right respectively, when the central processing unit recognizes that the facial features of a passenger at one position are the same as the facial features of the wanted person, the signal lamps corresponding to the positions can be supplied with power, the signal lamps are lightened, a driver can conveniently confirm the position of the wanted person in the vehicle, the driver can know the position of the passenger in the vehicle, which is consistent with the facial features of the wanted person, through the fourth step and the fifth step, and the driver can conveniently react according to actual conditions;
step six: when the central processing unit identifies that the facial features of passengers in the vehicle are consistent with the facial features of the people to be sold, the second secret words in the language module are transmitted to the two cameras and are played through the sound amplifying units of the two cameras, so that the driver is reminded that the facial features of the passengers in the vehicle are consistent with the facial features of the people to be sold while the driver is not alerted;
step seven: when the central processing unit identifies that the facial features of passengers in the vehicle are consistent with the facial features of the persons to be sold, the central processing unit sends information to the background terminal through the communication module to give an alarm to the background staff, the persons to be sold exist in the vehicle, the central processing unit transmits monitoring signals and audio signals in the vehicle to the background terminal for the background staff to check, and meanwhile, the vehicle position information is sent to the background terminal through the GPS positioning module, and the background staff can give an alarm according to the information;
step eight: similarly, the position of the passenger in the car, which is consistent with the facial features of the person to be sold, can be obtained according to the signal lamp, so that the driver can respond according to the actual condition;
7. the monitoring method based on the face recognition according to claim 5, characterized in that: background staff can send information to the central processing unit through the background terminal, and face features of wanted and wanted persons stored in the storage module are updated frequently.
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