CN110738173A - Face recognition system and method - Google Patents
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- CN110738173A CN110738173A CN201910981257.2A CN201910981257A CN110738173A CN 110738173 A CN110738173 A CN 110738173A CN 201910981257 A CN201910981257 A CN 201910981257A CN 110738173 A CN110738173 A CN 110738173A
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- 238000003672 processing method Methods 0.000 claims abstract description 16
- 238000005286 illumination Methods 0.000 claims description 27
- 239000013589 supplement Substances 0.000 claims description 25
- 230000001502 supplementing effect Effects 0.000 claims description 7
- 238000001514 detection method Methods 0.000 description 17
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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
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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
- G06V20/597—Recognising the driver's state or behaviour, e.g. attention or drowsiness
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/667—Camera operation mode switching, e.g. between still and video, sport and normal or high- and low-resolution modes
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Abstract
The invention belongs to the technical field of face recognition, and discloses face recognition systems and methods, wherein the systems comprise a face recognition controller, a vehicle body controller and a driving recorder, the face recognition controller is arranged on a target vehicle and sends a face shooting request to the vehicle body controller, the vehicle body controller generates a corresponding shooting instruction according to the face shooting request and sends the shooting instruction to the driving recorder, the driving recorder switches a working mode into a shooting mode according to the shooting instruction, shoots a driving position in the target vehicle according to the shooting mode and sends shot driving position image information to the face recognition controller, and the face recognition controller processes the driving position image information according to a preset processing method to obtain the driving face information, so that the face recognition accuracy is improved, and meanwhile, the whole vehicle cost is reduced by carrying out face recognition shooting through a camera arranged in the driving recorder.
Description
Technical Field
The invention relates to the technical field of face recognition, in particular to face recognition systems and methods.
Background
Face identification technique has been applied gradually at present on whole car, main accessible face identification technique, establish driver's archives, drive habit to different drivers, the record is carried out to interest hobby etc., when whole car detected the driver, can get driver's archives and compare, confirm driver's drive habit, interest hobby etc., and according to this driver's information, set up the vehicle, such as seat position, rear-view mirror position etc., and the relevant news of propelling movement, music etc., prior art need arrange cameras alone on whole car, make whole car cost improve like this, the camera of area light filling function is great simultaneously, the degree of difficulty of installation in whole car has been increased.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide face recognition systems and methods, and aims to solve the technical problems that in the prior art, the cost of a whole vehicle is increased and the installation difficulty is increased due to the fact that a light compensation camera is additionally arranged.
In order to achieve the aim, the invention provides face recognition systems, which comprise a face recognition controller, a vehicle body controller and a vehicle event data recorder, wherein the face recognition controller, the vehicle body controller and the vehicle event data recorder are arranged on a target vehicle;
the face recognition controller is used for sending a face shooting request to the automobile body controller;
the automobile body controller is used for receiving a face shooting request sent by the face recognition controller, generating a corresponding shooting instruction according to the face shooting request and sending the shooting instruction to the automobile data recorder;
the automobile data recorder is used for receiving a shooting instruction sent by the automobile body controller, switching a working mode into a shooting mode according to the shooting instruction, shooting a driving position in the target vehicle according to the shooting mode, and sending shot driving position image information to the face recognition controller;
the face recognition controller is further configured to receive the driving position image information sent by the automobile data recorder, and process the driving position image information according to a preset processing method to obtain face information of the driver.
Preferably, the face recognition system further comprises: an illumination sensor provided on the target vehicle;
the illumination sensor is used for detecting the current light intensity in the target vehicle and sending the current light intensity in the target vehicle to the vehicle body controller;
the automobile body controller is further used for receiving the current light intensity in the automobile sent by the illumination sensor, comparing the current light intensity in the automobile with preset light intensity, and sending the shooting instruction to the automobile data recorder when the current light intensity in the automobile is greater than or equal to the preset light intensity.
Preferably, the face recognition system further comprises: a vehicle-mounted dome lamp provided on the target vehicle;
the vehicle body controller is further used for sending a light supplementing instruction to the vehicle-mounted dome lamp when the current light intensity in the vehicle is smaller than a preset light intensity;
the vehicle-mounted dome lamp is further used for receiving a light supplement instruction sent by the vehicle body controller and supplementing light to the target vehicle according to the light supplement instruction, so that the current light intensity in the vehicle is greater than or equal to the preset light intensity.
Preferably, the face recognition controller is further configured to detect the driver face information, and send an operation instruction to the automobile data recorder when the driver face information meets a preset condition;
the automobile data recorder is further used for receiving an operation instruction sent by the face recognition controller, switching the working mode into a recording mode according to the operation instruction, and shooting road conditions according to the recording mode.
Preferably, the face recognition system further comprises: a vehicle-mounted computer arranged on the target vehicle;
the face recognition controller is also used for sending the face information of the driver to the vehicle-mounted computer;
and the vehicle-mounted computer is used for receiving the driver face information sent by the face recognition controller and pushing corresponding vehicle-mounted application for the user according to the driver face information.
, to achieve the above object, the present invention further provides face recognition methods, wherein the face recognition methods are applied to a face recognition system, and the face recognition method comprises the following steps:
the face recognition controller sends a face shooting request to the automobile body controller;
the automobile body controller receives a face shooting request sent by the face recognition controller, generates a corresponding shooting instruction according to the face shooting request, and sends the shooting instruction to the automobile data recorder;
the automobile data recorder receives a shooting instruction sent by the automobile body controller, switches a shooting mode into a shooting mode, shoots a driving position according to the shooting mode, and sends shot driving position image information to the face recognition controller;
and the face recognition controller receives the driving position image information sent by the automobile data recorder and processes the driving position image information according to a preset processing method to obtain the face information of the driver.
Preferably, after the step of receiving the face shooting request sent by the face recognition controller, the vehicle body controller generates a corresponding shooting instruction according to the face shooting request, and sends the shooting instruction to the automobile data recorder, the method further includes:
the illumination sensor detects the current light intensity in the target vehicle and sends the current light intensity in the target vehicle to the vehicle body controller;
the automobile body controller receives the current light intensity in the automobile sent by the illumination sensor, compares the current light intensity in the automobile with preset light intensity, and sends the shooting instruction to the automobile data recorder when the current light intensity in the automobile is greater than or equal to the preset light intensity.
Preferably, the face recognition system further comprises: a vehicle-mounted dome lamp provided on the target vehicle;
the automobile body controller receives the current light intensity in the car that the illumination sensor sent, will the light intensity in the current car is compared with predetermined light intensity when the light intensity is more than or equal to predetermined light intensity in the current car, will shoot the instruction send to after the step of vehicle event data recorder, still include:
the vehicle body controller sends a light supplementing instruction to the vehicle-mounted dome lamp when the current light intensity in the vehicle is smaller than a preset light intensity;
and the vehicle-mounted dome lamp receives a light supplement instruction sent by the vehicle body controller and supplements light to the target vehicle according to the light supplement instruction, so that the current light intensity in the vehicle is greater than or equal to the preset light intensity.
Preferably, after the step of receiving the driving position image information sent by the driving recorder and processing the driving position image information according to a preset processing method to obtain the face information of the driver, the face recognition controller further includes:
the face recognition controller detects the face information of the driver, and sends an operation instruction to the automobile data recorder when the face information of the driver meets a preset condition;
and the automobile data recorder receives the operation instruction sent by the face recognition controller, switches the shooting mode into a recording mode, and shoots the road condition according to the recording mode.
Preferably, the face recognition system further comprises: a vehicle-mounted computer arranged on the target vehicle;
the face recognition controller receives the driving position image information sent by the automobile data recorder, and processes the driving position image information according to a preset processing method to obtain the face information of the driver, and the method further comprises the following steps:
the face recognition controller sends the face information of the driver to the vehicle-mounted computer;
and the vehicle-mounted computer receives the driver face information sent by the face recognition controller and pushes corresponding vehicle-mounted application for the user according to the driver face information.
According to the invention, the face recognition controller sends a face shooting request to the vehicle body controller, the vehicle body controller sends a shooting instruction to the driving recorder according to the face shooting request, the driving recorder switches the working mode to the shooting mode according to the shooting instruction, the driving position is shot according to the shooting mode to obtain the driving position image information, and the face recognition controller processes the driving position image information to obtain the face information of the driver, so that the face recognition accuracy is improved, and the whole vehicle cost and the camera installation difficulty are reduced.
Drawings
FIG. 1 is a block diagram of a face recognition system according to an embodiment of the present invention;
FIG. 2 is a block diagram of a second embodiment of a face recognition system according to the present invention;
FIG. 3 is a block diagram of a face recognition system according to a third embodiment of the present invention;
FIG. 4 is a block diagram of a face recognition system according to a fourth embodiment of the present invention;
FIG. 5 is a flowchart illustrating a face recognition method according to an embodiment of the present invention;
FIG. 6 is a flowchart illustrating a second embodiment of a face recognition method according to the present invention;
FIG. 7 is a flowchart illustrating a face recognition method according to a third embodiment of the present invention;
fig. 8 is a flowchart illustrating a face recognition method according to a fourth embodiment of the present invention.
The objects, features, and advantages of the present invention are further described in with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a block diagram illustrating a structure of an th embodiment of the face recognition system of the present invention.
The face recognition system includes: the face recognition controller 10, the body controller 20 and the automobile data recorder 30 are arranged on the target vehicle;
in this embodiment, the face recognition controller 10 sends a face shooting request to the vehicle body controller 20, where the face shooting request is sent after the vehicle is powered on, and the face shooting request may be set to be sent automatically by the face recognition controller 10 after the vehicle is powered on, or may be set to be sent manually by a human, and is changed according to actual situations.
In the embodiment, the vehicle body controller 20 receives the face shooting request sent by the face recognition controller 10, generates a corresponding shooting instruction according to the face shooting request, and sends the shooting instruction to the automobile data recorder 30.
In the specific implementation, the driving recorder 30 receives a shooting instruction sent by the vehicle body controller 20, and switches the working mode to the shooting mode according to the shooting instruction, it should be noted that in this implementation, the driving recorder 30 includes a face recognition camera, it is not necessary to separately set the face recognition camera in the entire vehicle, the working mode of the driving recorder 30 includes a recording mode and a shooting mode, the recording mode is used for recording road conditions in real time when the vehicle is driving, the shooting mode is used for shooting a driving position before the vehicle is driving, and sending the shot driving position image information to the face recognition controller 10.
In this embodiment, the face recognition controller 10 may further receive the driving position image information, and process the driving position image information according to a preset processing method, wherein the driving position image information is screened out of the driving position image information, the preset processing method includes a point operation method, a filtering method, a global optimization method, and the like, can be set according to the actual situation, and in consideration of the situation that the shot image is not clear enough due to environmental factors in the actual shooting process, thereby causing the face recognition controller 10 to be unable to acquire the driver's face information from the driving position image information, and therefore, when the situation occurs, the face recognition controller 10 feeds back the information of the recognition failure to the automobile data recorder 30, and the automobile data recorder 30 continues to shoot the driving position until the face recognition controller 10 no longer feeds back the information of the recognition failure to the automobile data recorder 30.
According to the implementation, the vehicle body controller sends a shooting instruction to the automobile data recorder, the automobile data recorder is switched to a shooting mode according to the shooting instruction, the driving position is shot according to the shooting mode, the shot driving position image information is sent to the face recognition controller, and the face recognition controller processes the driving position image information according to a preset processing method, so that the face information of a driver is obtained, the face recognition accuracy is improved, and the whole vehicle cost is reduced.
Referring to fig. 2, fig. 2 is a block diagram of a second embodiment of the face recognition system according to the present invention, and the second embodiment of the face recognition system according to the present invention is proposed based on the th embodiment.
In this implementation, the face recognition system further includes: an illumination sensor 40 provided on the subject vehicle;
it should be noted that the illumination sensor 40 is automatically turned on when the vehicle is powered on, the illumination sensor 40 can detect the current light intensity inside the vehicle, the light intensity detection can be performed for the whole vehicle or for the light intensity detection of the driving area, the detection range can be a circular detection range using the illumination sensor 40 as the center of a circle, the detection radius can be set by itself, and the current light intensity inside the vehicle is sent to the vehicle body controller 20' after the detected current light intensity inside the vehicle.
In this embodiment, the body controller 20' receives the current light intensity in the vehicle sent by the illumination sensor 40, compares the preset light intensity of the current light intensity in the vehicle, and the preset light intensity can be understood as the best driving position image effect shot under the preset light intensity, and when the light intensity in the vehicle is greater than or equal to the preset light intensity, it indicates that the light intensity in the vehicle meets the shooting condition, and sends a shooting instruction to the driving recorder 30.
It should be noted that, in consideration of the fact that too large light intensity may cause poor shooting effect in practical situations, the preset light intensity may be set to th preset light intensity and a second preset light intensity, the second preset light intensity is greater than the preset th light intensity, and when the current vehicle interior light intensity is greater than or equal to the th preset light intensity and less than the second preset light intensity, the shooting effect at this time is the best.
, the face recognition system further comprises a vehicle-mounted ceiling lamp 50 arranged on the target vehicle;
easily understand because the weather environment influences, for example when rainy day or vehicle are in the department of being shaded, the light intensity can't reach preset light intensity in the current car, consequently, need on-vehicle dome lamp 50 to carry out the light filling, on-vehicle dome lamp 50 is the interior dome lamp of vehicle self-band like, also can be for the illumination dome lamp of installing additional by oneself, need not additionally to increase the light filling function on face identification camera, when automobile body controller 20' detects that the light intensity is less than preset light intensity in the current car, will send the light filling instruction to on-vehicle dome lamp 50.
In this embodiment, the vehicle-mounted dome lamp 50 further receives a light supplement instruction sent by the vehicle body controller 20', and supplements light to the current light intensity in the vehicle according to the light supplement instruction, and the vehicle-mounted dome lamp 50 can automatically supplement light to a preset light intensity from the current light intensity in the vehicle, and also can supplement light according to a light intensity value set by a user, and in addition, the light supplement and the light intensity detection are performed in real time.
This embodiment detects the interior light intensity of car through light sensor, will detect the light intensity and send to the automobile body controller in the current car, and the automobile body controller carries out the comparison with light intensity in the current car with predetermineeing the light intensity, and when light intensity was less than predetermineeing the light intensity in the current car, carries out the light filling to light intensity in the current car through on-vehicle dome lamp to improved face identification degree, utilized the dome lamp of taking certainly in the car simultaneously to carry out the light filling, reduced the camera installation degree of difficulty.
Referring to fig. 3, fig. 3 is a block diagram of a third embodiment of the face recognition system of the present invention, and the third embodiment of the face recognition system of the present invention is proposed based on the th embodiment or the second embodiment, and is explained with the th embodiment.
In this embodiment, the face recognition controller 10 ' further detects the face information of the driver, the detection process includes extracting the features of the driver from the face information of the driver and comparing the features of the driver with preset features, the preset condition is the preset features of the driver, when the extracted features of the driver meet the preset features, it indicates that the identified driver is correct, and the face recognition controller 10 ' sends an operation instruction to the driving recorder 30 '.
In this embodiment, the driving recorder 30 'receives the operation instruction sent by the face recognition controller 10', and switches the operation mode to the recording mode according to the operation instruction, it is easy to understand that the driving recorder 30 'can not only shoot the driving position, but also has a function of recording driving, and in the recording mode, the driving recorder 30' shoots the road condition.
In the embodiment, the face recognition controller is used for detecting the face information of the driver, when the face information of the driver meets the preset condition, the working mode of the automobile data recorder is switched to the recording mode, the automobile data recorder shoots the road condition according to the recording mode, the face recognition accuracy is improved, and meanwhile, the shooting function and the recording function of the automobile data recorder are switched, so that the cost of the whole automobile is reduced.
Referring to fig. 4, fig. 4 is a block diagram of a fourth embodiment of the face recognition system of the present invention, and the fourth embodiment of the face recognition system of the present invention is proposed based on the th embodiment or the second embodiment, and is explained with the th embodiment.
In this implementation, the face recognition system further includes: an in-vehicle computer 60 provided on the subject vehicle;
in the present embodiment, the face recognition controller 10 ″ further transmits the information of the face of the driver qualified for detection to the in-vehicle computer 60.
In a specific implementation, the vehicle-mounted computer 60 receives the driver face information sent by the face recognition controller 10 ″, the vehicle-mounted computer 60 extracts the driver identity information according to the driver face information, a mapping relationship between the driver identity and the vehicle-mounted application is also stored in the vehicle-mounted computer 60, the vehicle-mounted application corresponding to the driver identity is automatically pushed according to the mapping relationship, and the mapping relationship can be set according to the preference of the driver.
In the embodiment, the face recognition controller sends the face information of the driver to the vehicle-mounted computer, and the vehicle-mounted computer pushes corresponding vehicle-mounted application for the driver according to the mapping relation, so that the face recognition system is more intelligent and humanized.
, referring to FIG. 5, FIG. 5 is a schematic flow chart of embodiment of the face recognition method of the present invention, the face recognition method is applied to a face recognition system, the face recognition system comprises a face recognition controller, a vehicle body controller and a vehicle event data recorder, which are arranged on a target vehicle;
the face recognition method comprises the following steps:
step S10: the face recognition controller sends a face shooting request to the automobile body controller;
step S20: the automobile body controller receives a face shooting request sent by the face recognition controller, generates a corresponding shooting instruction according to the face shooting request, and sends the shooting instruction to the automobile data recorder;
step S30: the automobile data recorder receives a shooting instruction sent by the automobile body controller, switches a shooting mode into a shooting mode, shoots a driving position according to the shooting mode, and sends shot driving position image information to the face recognition controller;
step S40: and the face recognition controller receives the driving position image information sent by the automobile data recorder and processes the driving position image information according to a preset processing method to obtain the face information of the driver.
In this embodiment, the face recognition controller sends a face shooting request to the vehicle body controller, where the face shooting request is sent after the vehicle is powered on, and the face shooting request may be set to be sent automatically by the face recognition controller after the vehicle is powered on, or may be set to be sent manually by a human, and is changed according to actual conditions.
In this embodiment, the vehicle body controller receives a face shooting request sent by the face recognition controller, generates a corresponding shooting instruction according to the face shooting request, and sends the shooting instruction to the automobile data recorder.
In the concrete implementation, the automobile data recorder receives a shooting instruction sent by the automobile body controller, and switches the working mode into a shooting mode according to the shooting instruction, it needs to be explained that the automobile data recorder in the implementation comprises a face recognition camera, the face recognition camera does not need to be separately arranged in the whole automobile, the working mode of the automobile data recorder comprises a recording mode and a shooting mode, the recording mode is used for recording road conditions in real time when the automobile runs, the shooting mode is used for shooting a driving position before the automobile runs, and the shot driving position image information is sent to the face recognition controller.
In this embodiment, the face recognition controller may further receive the driving position image information, process the driving position image information according to a preset processing method, and screen out the face information of the driver from the driving position image information, where the preset processing method includes a point operation method, a filtering method, a global optimization method, and the like, and may be set by itself according to an actual situation, in consideration of that, in an actual shooting process, a shot image is not clear enough due to environmental factors, so that the face recognition controller cannot acquire the face information of the driver from the driving position image information, and therefore, when such a situation occurs, the face recognition control may feed back information of failed recognition to the drive recorder, and the drive recorder may continue to shoot the driving position until the face recognition controller no longer feeds back the failed recognition information to the drive recorder.
According to the implementation, the vehicle body controller sends a shooting instruction to the automobile data recorder, the automobile data recorder is switched to a shooting mode according to the shooting instruction, the driving position is shot according to the shooting mode, the shot driving position image information is sent to the face recognition controller, and the face recognition controller processes the driving position image information according to a preset processing method, so that the face information of a driver is obtained, the face recognition accuracy is improved, and the whole vehicle cost is reduced.
Referring to fig. 6, fig. 6 is a schematic flow chart of a second embodiment of the face recognition method of the present invention, which is proposed based on the th embodiment, and the face recognition system further includes an illumination sensor disposed on the target vehicle;
in this embodiment, after step S20, the method further includes:
step S201: the illumination sensor detects the current light intensity in the target vehicle and sends the current light intensity in the target vehicle to the vehicle body controller;
step S202: the automobile body controller receives the current light intensity in the automobile sent by the illumination sensor, compares the current light intensity in the automobile with preset light intensity, and sends the shooting instruction to the automobile data recorder when the current light intensity in the automobile is greater than or equal to the preset light intensity.
It should be noted that the illumination sensor is automatically turned on when the vehicle is powered on, the illumination sensor can detect the current light intensity in the vehicle, the light intensity detection can be full-vehicle detection or can be light intensity detection of a driving position shooting area, the detection range can be a circular detection range taking the illumination sensor as a circle center, the detection radius can be automatically set, and the current light intensity in the vehicle is sent to the vehicle body controller after the detected current light intensity in the vehicle.
In this embodiment, the vehicle body controller receives the current light intensity in the vehicle sent by the illumination sensor, compares the preset light intensity of the current light intensity in the vehicle, and the preset light intensity can be understood as the best driving position image effect shot under the preset light intensity.
It should be noted that, in consideration of the fact that too large light intensity may cause poor shooting effect in practical situations, the preset light intensity may be set to th preset light intensity and a second preset light intensity, the second preset light intensity is greater than the preset th light intensity, and when the current vehicle interior light intensity is greater than or equal to the th preset light intensity and less than the second preset light intensity, the shooting effect at this time is the best.
, the face recognition system further comprises a vehicle-mounted ceiling lamp arranged on the target vehicle, and after the step S202, the face recognition system further comprises:
step S203: the vehicle body controller sends a light supplementing instruction to the vehicle-mounted dome lamp when the current light intensity in the vehicle is smaller than a preset light intensity;
step S204: and the vehicle-mounted dome lamp receives a light supplement instruction sent by the vehicle body controller and supplements light to the target vehicle according to the light supplement instruction, so that the current light intensity in the vehicle is greater than or equal to the preset light intensity.
Easily understand because weather environment influences, for example when rainy day or vehicle are in the department of being shaded, the light intensity can't reach preset light intensity in the current car, consequently, need on-vehicle dome lamp to carry out the light filling, on-vehicle dome lamp is the car dome lamp in the vehicle of like this vehicle self-band, also can be for the illumination dome lamp of installing additional by oneself, need not additionally to increase the light filling function on face identification camera, when the light intensity is less than preset light intensity in the current car is detected to automobile body controller, will send the light filling instruction to on-vehicle dome lamp.
In this embodiment, the vehicle-mounted dome lamp further receives a light supplement instruction sent by the vehicle body controller, and performs light supplement on the current light intensity in the vehicle according to the light supplement instruction, the vehicle-mounted dome lamp can automatically supplement the current light intensity in the vehicle to preset light intensity, and also can perform light supplement according to a light intensity value set by a user, and in addition, the light supplement and the light intensity detection are performed in real time.
This embodiment detects the interior light intensity of car through light sensor, will detect the light intensity and send to the automobile body controller in the current car, and the automobile body controller carries out the comparison with light intensity in the current car with predetermineeing the light intensity, and when light intensity was less than predetermineeing the light intensity in the current car, carries out the light filling to light intensity in the current car through on-vehicle dome lamp to improved face identification degree, utilized the dome lamp of taking certainly in the car simultaneously to carry out the light filling, reduced the camera installation degree of difficulty.
Referring to fig. 7, fig. 7 is a flowchart illustrating a third embodiment of the face recognition method according to the present invention, which is proposed based on the th embodiment or the second embodiment, and is explained with the th embodiment.
In this embodiment, after step S40, the method further includes:
step S401: the face recognition controller detects the face information of the driver, and sends an operation instruction to the automobile data recorder when the face information of the driver meets a preset condition;
step S402: and the automobile data recorder receives the operation instruction sent by the face recognition controller, switches the shooting mode into a recording mode, and shoots the road condition according to the recording mode.
In this embodiment, the face recognition controller further detects face information of the driver, the detection process includes extracting features of the driver from the face information of the driver and comparing the features of the driver with preset features, the preset conditions are the preset features of the driver, when the extracted features of the driver meet the preset features, it is described that the identified identity of the driver is correct, and the face recognition controller sends an operation instruction to the drive recorder.
In this embodiment, the vehicle event data recorder receives the operation instruction sent by the face recognition controller, and switches the working mode into the recording mode according to the operation instruction, and it is easy to understand that the vehicle event data recorder can not only shoot the driving position, but also has a function of vehicle event data recording, and in the recording mode, the vehicle event data recorder shoots the road condition.
In the embodiment, the face recognition controller is used for detecting the face information of the driver, when the face information of the driver meets the preset condition, the working mode of the automobile data recorder is switched to the recording mode, the automobile data recorder shoots the road condition according to the recording mode, the face recognition accuracy is improved, and meanwhile, the shooting function and the recording function of the automobile data recorder are switched, so that the cost of the whole automobile is reduced.
Referring to fig. 8, fig. 8 is a schematic flow chart of a fourth embodiment of the face recognition method according to the present invention, which is proposed based on the th embodiment or the second embodiment, and explained with the th embodiment, wherein the face recognition system further includes a vehicle-mounted computer installed on a target vehicle;
in this embodiment, after step S40, the method further includes:
step S403: the face recognition controller sends the face information of the driver to the vehicle-mounted computer;
step S404: and the vehicle-mounted computer receives the driver face information sent by the face recognition controller and pushes corresponding vehicle-mounted application for the user according to the driver face information.
In this embodiment, the face recognition controller further sends the face information of the driver qualified for detection to the vehicle-mounted computer.
In the specific implementation, the vehicle-mounted computer receives the face information of the driver sent by the face recognition controller, the vehicle-mounted computer extracts the identity information of the driver according to the face information of the driver, a mapping relation between the identity of the driver and vehicle-mounted applications is stored in the vehicle-mounted computer, the vehicle-mounted applications corresponding to the identity of the driver are automatically pushed according to the mapping relation, and the mapping relation can be set according to the preference of the driver.
In the embodiment, the face recognition controller sends the face information of the driver to the vehicle-mounted computer, and the vehicle-mounted computer pushes corresponding vehicle-mounted application for the driver according to the mapping relation, so that the face recognition system is more intelligent and humanized.
Furthermore, it should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises the series of elements does not include only those elements, but may include other elements not expressly listed or inherent to such process, method, article, or system.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Based on the above understanding, the technical solution of the present invention or the parts contributing to the prior art can be essentially embodied in the form of software products stored in storage media (e.g. Read Only Memory (ROM)/RAM, magnetic disk, optical disk) and including instructions for causing terminal devices (e.g. mobile phone, computer, server, or network device) to execute the methods described in the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
- The face recognition systems are characterized by comprising a face recognition controller, a vehicle body controller and a vehicle event data recorder, wherein the face recognition controller, the vehicle body controller and the vehicle event data recorder are arranged on a target vehicle;the face recognition controller is used for sending a face shooting request to the automobile body controller;the automobile body controller is used for receiving a face shooting request sent by the face recognition controller, generating a corresponding shooting instruction according to the face shooting request and sending the shooting instruction to the automobile data recorder;the automobile data recorder is used for receiving a shooting instruction sent by the automobile body controller, switching a working mode into a shooting mode according to the shooting instruction, shooting a driving position in the target vehicle according to the shooting mode, and sending shot driving position image information to the face recognition controller;the face recognition controller is further configured to receive the driving position image information sent by the automobile data recorder, and process the driving position image information according to a preset processing method to obtain face information of the driver.
- 2. The face recognition system of claim 1, wherein the face recognition system further comprises: an illumination sensor provided on the target vehicle;the illumination sensor is used for detecting the current light intensity in the target vehicle and sending the current light intensity in the target vehicle to the vehicle body controller;the automobile body controller is further used for receiving the current light intensity in the automobile sent by the illumination sensor, comparing the current light intensity in the automobile with preset light intensity, and sending the shooting instruction to the automobile data recorder when the current light intensity in the automobile is greater than or equal to the preset light intensity.
- 3. The face recognition system of claim 2, wherein the face recognition system further comprises: a vehicle-mounted dome lamp provided on the target vehicle;the vehicle body controller is further used for sending a light supplementing instruction to the vehicle-mounted dome lamp when the current light intensity in the vehicle is smaller than a preset light intensity;the vehicle-mounted dome lamp is further used for receiving a light supplement instruction sent by the vehicle body controller and supplementing light to the target vehicle according to the light supplement instruction, so that the current light intensity in the vehicle is greater than or equal to the preset light intensity.
- 4. The face recognition system of any of claims 1-3, wherein the face recognition controller is further configured to detect the driver face information, and send an operation instruction to the tachograph when the driver face information meets a preset condition;the automobile data recorder is further used for receiving an operation instruction sent by the face recognition controller, switching the working mode into a recording mode according to the operation instruction, and shooting road conditions according to the recording mode.
- 5. The face recognition system of any of claims 1-3, further comprising a vehicle-mounted computer disposed on the target vehicle;the face recognition controller is also used for sending the face information of the driver to the vehicle-mounted computer;and the vehicle-mounted computer is used for receiving the driver face information sent by the face recognition controller and pushing corresponding vehicle-mounted application for the user according to the driver face information.
- 6, face recognition method, wherein the face recognition method is applied to face recognition system, the face recognition system includes face recognition controller, vehicle body controller and vehicle event data recorder on the object vehicle;the face recognition method comprises the following steps:the face recognition controller sends a face shooting request to the automobile body controller;the automobile body controller receives a face shooting request sent by the face recognition controller, generates a corresponding shooting instruction according to the face shooting request, and sends the shooting instruction to the automobile data recorder;the automobile data recorder receives a shooting instruction sent by the automobile body controller, switches a shooting mode into a shooting mode, shoots a driving position according to the shooting mode, and sends shot driving position image information to the face recognition controller;and the face recognition controller receives the driving position image information sent by the automobile data recorder and processes the driving position image information according to a preset processing method to obtain the face information of the driver.
- 7. The method of claim 6, wherein the face recognition system further comprises: an illumination sensor provided on the target vehicle;the automobile body controller receives the face shooting request sent by the face recognition controller, generates a corresponding shooting instruction according to the face shooting request, and sends the shooting instruction to the automobile data recorder, and the automobile body controller further comprises the following steps:the illumination sensor detects the current light intensity in the target vehicle and sends the current light intensity in the target vehicle to the vehicle body controller;the automobile body controller receives the current light intensity in the automobile sent by the illumination sensor, compares the current light intensity in the automobile with preset light intensity, and sends the shooting instruction to the automobile data recorder when the current light intensity in the automobile is greater than or equal to the preset light intensity.
- 8. The method of claim 7, wherein the face recognition system further comprises: a vehicle-mounted dome lamp provided on the target vehicle;the automobile body controller receives the current light intensity in the car that the illumination sensor sent, will the light intensity in the current car is compared with predetermined light intensity when the light intensity is more than or equal to predetermined light intensity in the current car, will shoot the instruction send to after the step of vehicle event data recorder, still include:the vehicle body controller sends a light supplementing instruction to the vehicle-mounted dome lamp when the current light intensity in the vehicle is smaller than a preset light intensity;and the vehicle-mounted dome lamp receives a light supplement instruction sent by the vehicle body controller and supplements light to the target vehicle according to the light supplement instruction, so that the current light intensity in the vehicle is greater than or equal to the preset light intensity.
- 9. The method of any of claims 6-8, wherein the face recognition controller receives the driving position image information sent by the automobile data recorder, and further comprises, after the step of processing the driving position image information according to a preset processing method to obtain the driver face information:the face recognition controller detects the face information of the driver, and sends an operation instruction to the automobile data recorder when the face information of the driver meets a preset condition;and the automobile data recorder receives the operation instruction sent by the face recognition controller, switches the shooting mode into a recording mode, and shoots the road condition according to the recording mode.
- 10. The method of of any of claims 6-8, wherein the face recognition system further comprises a vehicle-mounted computer on the target vehicle;the face recognition controller receives the driving position image information sent by the automobile data recorder, and processes the driving position image information according to a preset processing method to obtain the face information of the driver, and the method further comprises the following steps:the face recognition controller sends the face information of the driver to the vehicle-mounted computer;and the vehicle-mounted computer receives the driver face information sent by the face recognition controller and pushes corresponding vehicle-mounted application for the user according to the driver face information.
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| CN201910981257.2A CN110738173A (en) | 2019-10-15 | 2019-10-15 | Face recognition system and method |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113542557A (en) * | 2021-06-29 | 2021-10-22 | 北京瞰瞰科技有限公司 | Shooting light supplement adjusting method, system and device for vehicle |
| CN114143938A (en) * | 2021-11-30 | 2022-03-04 | 东风商用车有限公司 | Method, device and equipment for controlling lighting control in vehicle and readable storage medium |
| WO2023050677A1 (en) * | 2021-09-30 | 2023-04-06 | 上海商汤智能科技有限公司 | Vehicle, image capture method and apparatus, device, storage medium, and computer program product |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101593422A (en) * | 2009-06-15 | 2009-12-02 | 无锡骏聿科技有限公司 | A kind of traffic violation detection method based on video frequency tracking and pattern-recognition |
| CN103336948A (en) * | 2013-06-24 | 2013-10-02 | 深圳锐取信息技术股份有限公司 | Video tracking method based on face recognition |
| CN105447925A (en) * | 2015-11-17 | 2016-03-30 | 南西盛世（天津）科技发展有限公司 | Double-camera automobile data recorder with face recognition function |
| CN105809770A (en) * | 2016-03-25 | 2016-07-27 | 安徽机电职业技术学院 | Automobile traveling data recorder with driver identity recognition function |
| WO2016187985A1 (en) * | 2015-05-28 | 2016-12-01 | 中兴通讯股份有限公司 | Photographing device, tracking photographing method and system, and computer storage medium |
| CN205788330U (en) * | 2016-05-26 | 2016-12-07 | 深圳市思博瑞德信息技术有限公司 | There is the drive recorder of face identification functions |
| CN107045390A (en) * | 2017-04-14 | 2017-08-15 | 北京奇虎科技有限公司 | Switch method, device and the mobile terminal of drive recorder mode of operation |
| CN107195018A (en) * | 2017-05-17 | 2017-09-22 | 金碧凡 | A kind of front end big data vehicle intelligent system |
| CN107506752A (en) * | 2017-09-18 | 2017-12-22 | 艾普柯微电子（上海）有限公司 | Face identification device and method |
| CN109050396A (en) * | 2018-07-16 | 2018-12-21 | 浙江合众新能源汽车有限公司 | A kind of vehicle intelligent robot |
| CN109151337A (en) * | 2018-10-25 | 2019-01-04 | Oppo（重庆）智能科技有限公司 | Recognition of face light compensation method, recognition of face light compensating apparatus and mobile terminal |
| CN110210592A (en) * | 2019-06-19 | 2019-09-06 | 周春才 | A kind of automobile data recorder, server, driver's license |
-
2019
- 2019-10-15 CN CN201910981257.2A patent/CN110738173A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101593422A (en) * | 2009-06-15 | 2009-12-02 | 无锡骏聿科技有限公司 | A kind of traffic violation detection method based on video frequency tracking and pattern-recognition |
| CN103336948A (en) * | 2013-06-24 | 2013-10-02 | 深圳锐取信息技术股份有限公司 | Video tracking method based on face recognition |
| WO2016187985A1 (en) * | 2015-05-28 | 2016-12-01 | 中兴通讯股份有限公司 | Photographing device, tracking photographing method and system, and computer storage medium |
| CN105447925A (en) * | 2015-11-17 | 2016-03-30 | 南西盛世（天津）科技发展有限公司 | Double-camera automobile data recorder with face recognition function |
| CN105809770A (en) * | 2016-03-25 | 2016-07-27 | 安徽机电职业技术学院 | Automobile traveling data recorder with driver identity recognition function |
| CN205788330U (en) * | 2016-05-26 | 2016-12-07 | 深圳市思博瑞德信息技术有限公司 | There is the drive recorder of face identification functions |
| CN107045390A (en) * | 2017-04-14 | 2017-08-15 | 北京奇虎科技有限公司 | Switch method, device and the mobile terminal of drive recorder mode of operation |
| CN107195018A (en) * | 2017-05-17 | 2017-09-22 | 金碧凡 | A kind of front end big data vehicle intelligent system |
| CN107506752A (en) * | 2017-09-18 | 2017-12-22 | 艾普柯微电子（上海）有限公司 | Face identification device and method |
| CN109050396A (en) * | 2018-07-16 | 2018-12-21 | 浙江合众新能源汽车有限公司 | A kind of vehicle intelligent robot |
| CN109151337A (en) * | 2018-10-25 | 2019-01-04 | Oppo（重庆）智能科技有限公司 | Recognition of face light compensation method, recognition of face light compensating apparatus and mobile terminal |
| CN110210592A (en) * | 2019-06-19 | 2019-09-06 | 周春才 | A kind of automobile data recorder, server, driver's license |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113542557A (en) * | 2021-06-29 | 2021-10-22 | 北京瞰瞰科技有限公司 | Shooting light supplement adjusting method, system and device for vehicle |
| CN113542557B (en) * | 2021-06-29 | 2023-11-28 | 北京瞰瞰智能科技有限公司 | Shooting light filling adjusting method, system and device for vehicle |
| WO2023050677A1 (en) * | 2021-09-30 | 2023-04-06 | 上海商汤智能科技有限公司 | Vehicle, image capture method and apparatus, device, storage medium, and computer program product |
| CN114143938A (en) * | 2021-11-30 | 2022-03-04 | 东风商用车有限公司 | Method, device and equipment for controlling lighting control in vehicle and readable storage medium |
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