CN107274508A - A kind of vehicle-mounted timing have the records of distance by the log terminal and using the terminal recognition methods - Google Patents
A kind of vehicle-mounted timing have the records of distance by the log terminal and using the terminal recognition methods Download PDFInfo
- Publication number
- CN107274508A CN107274508A CN201710616479.5A CN201710616479A CN107274508A CN 107274508 A CN107274508 A CN 107274508A CN 201710616479 A CN201710616479 A CN 201710616479A CN 107274508 A CN107274508 A CN 107274508A
- Authority
- CN
- China
- Prior art keywords
- module
- face
- terminal
- vehicle
- identification
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 25
- 238000004891 communication Methods 0.000 claims abstract description 18
- 238000010295 mobile communication Methods 0.000 claims description 10
- 238000012549 training Methods 0.000 abstract description 30
- 238000005516 engineering process Methods 0.000 abstract description 29
- 238000012544 monitoring process Methods 0.000 abstract description 5
- 238000012360 testing method Methods 0.000 abstract description 5
- 238000010200 validation analysis Methods 0.000 abstract description 4
- 230000006870 function Effects 0.000 description 23
- 238000007689 inspection Methods 0.000 description 15
- 210000001508 eye Anatomy 0.000 description 11
- 238000013461 design Methods 0.000 description 5
- 238000001514 detection method Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 238000003860 storage Methods 0.000 description 4
- 210000005252 bulbus oculi Anatomy 0.000 description 3
- 239000007795 chemical reaction product Substances 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 210000000887 face Anatomy 0.000 description 3
- 230000001815 facial effect Effects 0.000 description 3
- 238000007726 management method Methods 0.000 description 3
- 239000011159 matrix material Substances 0.000 description 3
- 230000004888 barrier function Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000013135 deep learning Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 210000000744 eyelid Anatomy 0.000 description 2
- 210000004209 hair Anatomy 0.000 description 2
- 210000003128 head Anatomy 0.000 description 2
- 239000004973 liquid crystal related substance Substances 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 238000012795 verification Methods 0.000 description 2
- 210000001367 artery Anatomy 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 239000003990 capacitor Substances 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- DMBHHRLKUKUOEG-UHFFFAOYSA-N diphenylamine Chemical compound C=1C=CC=CC=1NC1=CC=CC=C1 DMBHHRLKUKUOEG-UHFFFAOYSA-N 0.000 description 1
- 238000005538 encapsulation Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 210000004709 eyebrow Anatomy 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 230000006698 induction Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000007257 malfunction Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 239000000047 product Substances 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 210000003462 vein Anatomy 0.000 description 1
- 238000005406 washing Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
- G07C1/10—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people together with the recording, indicating or registering of other data, e.g. of signs of identity
- G07C1/12—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people together with the recording, indicating or registering of other data, e.g. of signs of identity wherein the time is indicated in figures
- G07C1/14—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people together with the recording, indicating or registering of other data, e.g. of signs of identity wherein the time is indicated in figures with apparatus adapted for use with individual cards
-
- 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
- G06V40/12—Fingerprints or palmprints
- G06V40/13—Sensors therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
Abstract
The invention provides a kind of vehicle-mounted timing have the records of distance by the log terminal and using the terminal recognition methods, the terminal include processor module, memory module, display module, communication module, fingerprint acquiring and identifying module, image/video acquiring and identifying module, IC-card identification module, satellite positioning module, external interface module, power module.The terminal uses the method that a variety of identification technologies are combined, identity validation is carried out to driver or coach, adequately achieves and drives a variety of applications such as training, Driving Test, the real-time monitoring in auxiliary driving procedure, training class hour, training mileage, coach/student's identification, vehicle location, data record backup.
Description
Technical field
The recognition methods for terminal and the use terminal of being had the records of distance by the log the present invention relates to a kind of vehicle-mounted timing, for car steering neck
Domain, is applied particularly to the scenes such as driver training, examination of driver, auxiliary driving.
Background technology
According to《The General Office of the State Council forwards Department of Transportation of the Ministry of Public Security on promoting vehicle driver training examination system
Reform the notice of opinion》(Office of the State Council sends out (2015) No. 88), Department of Transportation, Ministry of Public Security's tissue pair《Motor vehicle driving training and teaching
With examination outline》(shipping hair (2012) 729) is revised, and is combined and issued new《Motor vehicle driving training and teaching
With examination outline》(hair (2016) 128 is shipped, hereinafter referred to as《Outline》),《Outline》The formal reality from 1 day October in 2016
Apply.Deeply to carry out《Outline》Work is carried out, is agreed to through Department of Transportation, it is proposed that be following to require：Driving training mechanism
Will be according to《Outline》It is required that, met according to each vehicle and required in basic class hour, each province should drive type training according to reality to each standard
Mileage makes related request, but minimum must not be less than 300 kilometers.Training and teaching plan is adjusted as early as possible, and " timing training is actively provided
Instruction, charge by class hour, first train post-paid " service mode, according to《Outline》It is right on the basis of teaching《Outline》Content
Refined, optimization teaching organization mode carries out differentiation teaching, enhancement training efficiency, it is ensured that teaching matter according to student's feature
Amount, the security civilization consciousness for cultivating student is applied in whole training process.
But in actual application, traditional timer is checked card the time by using IC-card Card Reader record student, is held
Easily occur for situation of checking card：Driving school or coach check card for student, gather together enough the training time.Student is not by sufficient class hour
Driver's license is just taken in training and mileage training, is a big hidden danger safely to public transport.
The content of the invention
Goal of the invention：In order to solve to replace the bad phenomenon checked card, training class hour and training mileage are ensured, student's training is improved
Quality is instructed, is badly in need of a vehicle-mounted timing with identity recognition function and has the records of distance by the log terminal.
Each automobile driver is when car is learned in registration at home, and vehicle administration office of public security bureau can all gather the identity card letter of individual
Breath, finger print information and human face image information.Have the records of distance by the log terminal, recognized using IC-card, body the invention provides a kind of vehicle-mounted timing
The technology that the identification of part card, fingerprint recognition and recognition of face are combined, identity validation is carried out to driver, and multiple authentication mechanism is ensured
The authenticity of identity validation and turn accuracy.Fingerprint identification technology progress authentication, which is only used only, has limitation, due to
Driver easily perspires, and it is that fingerprint identification technology changes different by cisco unity malfunction, even student to summer that spy is standby
Finger is authenticated, and can also occur the phenomenon that can not be recognized.Fingerprint recognition skill can be made up well by face recognition technology
The deficiency of art.
To achieve the above object, the technical solution adopted by the present invention is：
A kind of vehicle-mounted timing is had the records of distance by the log terminal, including processor module, and the memory mould being connected with processor module
Block, display module, communication module, image/video acquiring and identifying module, IC-card identification module, satellite positioning module, fingerprint collecting
Identification module, wherein memory module use embedded memory.
Further, communication module includes mobile communication submodule and wireless LAN communication submodule, wherein mobile logical
Letter submodule supports the whole network to lead to.
Further, image/video acquiring and identifying module includes the camera for being used to gather driver's face information, is used for
The camera of collecting vehicle external information, and for gathering the camera of in-vehicle information.
Further, image/video acquiring and identifying module is configured with multiple light courcess recognition of face submodule, and the submodule includes
Visible ray, near-infrared face identification functions module, gather 21-106 key point information of face, by cascading regression algorithm, depth
Degree study face calibration algorithm realizes high accuracy recognition of face.
In actual application, often there is the phenomenon practised fraud using other people replacements, human face photo.In order to improve
Identification function, face recognition technology of the invention adds real-time face identification technology, three-dimensional face identification technology, dynamic human eye
Identification technology.Image/video acquiring and identifying module is also integrated with real-time face identification submodule, three-dimensional face identification submodule, moved
State eye recognition submodule.
Further, IC-card identification module supports non-contact IC card identification, and is configured with identity card identification submodule.
Further, satellite positioning module supports GPS/GLONASS/ BEI-DOU position systems, receives one or more prison
The position location request at control center, and upload location information, are supported at timed intervals, apart from interval or external event triggering side
Formula upload location information.
Further, terminal also includes selftest module, right to vehicle operating status self-inspection to terminal operating status self-inspection
Various kinds of sensors working condition self-inspection.
Further, mobile communication antenna and satellite positioning antennas are placed on terminal device, built in wireless lan antenna
In terminal device.
Further, this terminal built-in microphone and loudspeaker, in the management of in-car driver, coach and driving school
The heart, vehicle administration office's supervision center carry out voice call.
Further, display module turns the touch display screen of rgb interface using mipi.
Further, this terminal also includes external interface module, and the interface module includes but is not limited to external interface module
TF/SD bayonet sockets, multiple USB interfaces, SIM card interface, Ethernet interface, multiple serial line interfaces, antennal interface, 25PIN terminals connect
Mouth line beam.
Further, this terminal also has power supply link block, using 12V voltages, is connected with vehicle battery.
The invention also discloses a kind of recognition methods for terminal of being had the records of distance by the log using the vehicle-mounted timing, this method includes：
Step 1, the student's IC-card or identity card of student are identified IC-card identification module, determine that student believes substantially
Breath；
Step 2, fingerprint acquiring and identifying module collection student's finger print information, verifies whether the finger print information collected belongs to
State student；
Step 3, image/video acquiring and identifying module collection student's face information, further verifying the face information of collection is
It is no to belong to above-mentioned student；
Step 4, image/video acquiring and identifying module gathers student's face information by setting time interval, and enters pedestrian in real time
Face Information Authentication.
Further, the step 3 also includes one of three-dimensional face identification step and dynamic human eye identification step or its group
Close, wherein
Three-dimensional face in three-dimensional face identification step, image/video acquiring and identifying module recognizes submodule to student's face
Information is verified；
Dynamic human eye in dynamic human eye identification step, image/video acquiring and identifying module recognizes submodule to student's human eye
Information is verified.
Vehicle-mounted timing disclosed in this invention have the records of distance by the log terminal and its using the terminal recognition methods, with following beneficial effect
Really：
The method that a variety of identification technologies such as recognition of face, fingerprint recognition and IC-card identification are combined is integrated with, to driver
Or coach carries out identity validation.Face recognition technology therein can also support multiple light courcess recognition of face, real-time face identification
Technology, three-dimensional face identification technology, dynamic human eye identification technology, substantially increase the degree of accuracy of identification.
Adequately achieve drive training during real-time monitoring, training class hour, training mileage, coach/student's identification,
A variety of applications such as vehicle location, data record backup.
Wireless network remote mode is supported to realize terminal in Surveillance center's registration and unregistration function, Remote configuration function (example
Such as remote control terminal is restarted), firmware updating function, the modification of firmware parameters and query function, the reset function of terminal etc..
With human-computer interaction function, information exchange is carried out with driver, terminal has voice broadcast, picture and text showing function,
Driver can operate terminal by modes such as button and touch-screens.
Multicenter access function can be supported, supports to connect two or more Surveillance center simultaneously, and prison can be obtained
The information that control center is issued.
Self-checking function can be also supported, to terminal operating status self-inspection, vehicle operating status self-inspection, working sensor state certainly
Inspection, self-inspection, regular self-inspection is booted up to crucial running status, by platform transmitting order to lower levels requirement self-inspection.
Integrated information management, terminal logs in, student and coach are logged in, information is sent with receiving, reservation information updates, figure
Piece and video upload feedback.
End product powerful in function, dependable performance, the super low-power consumption, are with a wide range of applications.
Brief description of the drawings
Fig. 1 illustrates for the structural principle of this terminal；
Fig. 2 is the communication module structural diagrams of this terminal；
Fig. 3 is the IC-card identification module structural diagrams of this terminal；
Fig. 4 is face recognition process；
Fig. 5 behaviour water for washing the faces azimuth, the angle of pitch, inclination angle schematic diagram.
Embodiment
Below in conjunction with the accompanying drawings and embodiment is further described to the present invention.
The terminal as shown in figure 1, a kind of vehicle-mounted timing disclosed in embodiment is had the records of distance by the log, the terminal includes processor module, storage
Device module, display module, communication module, image/video acquiring and identifying module, IC-card identification module, satellite positioning module, fingerprint
Acquiring and identifying module, external interface module and power module.
Processor module uses arm processor, preferably polycaryon processor, such as four core processors, Cortex-A7 modules, most
High primary frequency 1.1G.Memory module selects embedded memory (EMMC), such as can select LPDDR3, standard configuration 8Gb.Operation system
System can use Android operation system.
Memory module selects embedded memory (EMMC), and embedded memory is by an embedded storage solution
Composition, with multimedia card (MMC) interface, flash memory device and master controller, all component is all in a small-sized BGA
Encapsulation.Embedded memory interface rate is up to 52MBytes per second, with quick, scalable performance, moreover it is possible to accelerate product
Research and develop speed.
Display module uses touch display screen, such as 7 inches, the display screen of 800*480 resolution ratio.Touch-screen can select electric capacity
Screen or touch screens, preferably liquid crystal capacitance screen, preferably 5 touch control capacitance screens.In order to improve display effect, display module is used
Mipi turns rgb interface.
As shown in Fig. 2 communication module includes mobile communication submodule and wireless LAN communication submodule, mobile communication
Module supports the whole network to lead to more than 2G patterns, such as 2G, 3G, 4G, 5G pattern, standard configuration 4G patterns, wireless LAN communication submodule
Block uses the wifi patterns of 802.11b/g/n standards, and wifi antennas use built in version, save terminal making in vehicle space
Use space.In order to save the space-consuming of terminal, portable antenna and satellite positioning antennas can also be designed to terminal inner, but examine
This terminal is considered in vehicle drive room, and vehicle housing has certain function of shielding, and mobile communication and satellite fix letter
Number important, in order to ensure the signal quality of mobile communication and satellite fix, mobile communication antenna and satellite positioning antennas are excellent
External design is selected, this end product is at the back side of terminal shell by above-mentioned two Antenna Design.Wireless communication module passes through office
Area wireless network and/or mobile radio communication network, internet or mobile client are uploaded to by auxiliary driving related information, with
The popularization of the mobile clients such as mobile phone, client needs to check relevant information whenever and wherever possible.Wireless communication module is by correlation simultaneously
Data are uploaded to internet end, carry out data record backup.
Image/video acquiring and identifying module has multiple cameras, and a camera gathers driver's face information, one
Situation in the outer road conditions of camera collecting vehicle, a camera collecting vehicle.Wherein, the camera for shooting driver's face uses USB
Camera, by contrasting algorithm, realizes driver's face, gesture recognition, by video shooting and monitoring camera-shooting, and overall record is driven
The person's of sailing whole-course training information.The camera of situation can be monitored to in-car in collecting vehicle.The camera of the outer road conditions of collecting vehicle can
Automobile running record function is realized, and supports to travel the upload function of record data.The collection of image/video acquiring and identifying module
Data can be uploaded to operating service center by mobile network and transport to home-delivery center's server.
The face identification functions that image/video acquiring and identifying module has are integrated with visible ray, near-infrared recognition of face skill
Art, USB camera collection video image, carries out Face datection, extracts 21-106 face feature, by cascading the algorithm returned
Signature verification is carried out, the result is drawn.Identification process is carried as shown in figure 4, being roughly divided into IMAQ, Face datection, feature
Take, signature verification, result export five steps.
Traditional recognition of face uses the recognition of face based on the visible images under surroundings, but this mode has
It is difficult to the defect overcome, especially when ambient lighting changes, recognition effect can drastically decline, it is impossible to meet real system
Need.We are integrated with the multiple light courcess face recognition technology based on active near-infrared image again, by near-infrared recognition of face, i.e.,
It is that can also realize recognition of face at night.In actual application process, traditional recognition of face needs the face of detected person
To acquisition camera, detection identification just is carried out, it is necessary to which detected person ceaselessly adjusts in head portrait pickup area as defined in display for portion
The whole face location of oneself.The face recognition technology of my company's independent development is in rest image or video flowing, using face
Gesture recognition technology can be found in Fig. 5, can rapidly and accurately detect the position of face, and the identification technology changes to light, angle
Change, the different colours of skin, the well adapting to property of face of all ages and classes.We calculate the Face datection based on deep learning simultaneously
Method, disposably overcome side face, partly block, the technical barrier such as fuzzy face, the face in the various realities of significant increase
Detect effect.On the basis of Face datection, the identification technology also further carries out the identification of face key point (canthus, eyebrow point
End, the corners of the mouth, nose etc.), each characteristic point is showed in the form of image coordinate, characteristic point quantity number (21-106 points) can be with
Express the face change of different accuracy.In embodiment, face recognition technology additionally uses the newest algorithm returned based on cascade,
Initialization, the multipoint data collection knowledge of comprehensive multiple various criterions so that same model are demarcated with reference to the face of deep learning
The critical point detection of varying number is can apply to, to ensure lower error and more preferable adaptability.Pass through actual application
Statistics, face recognition accuracy rate has exceeded 99%.
Real-time face identification technology is for preventing student from having passed through recognition of face detection when starting training, just using other people
Replace and complete training or examination inter-related task.During student training, this terminal passes through shooting according to Fixed Time Interval
Head gathers the face information of driver in real time, carries out real-time dynamic comparison, so as to be single student when ensureing student training.Pass through
Real-time face identification technology has ensured the training class hour of student, has fundamentally prevented training cheating, has improved training quality.
In order to further ensure Face datection accuracy rate, reduction cheating rate, image/video acquiring and identifying module is also integrated with
Three-dimensional face identification submodule, dynamic human eye identification submodule.Three-dimensional face identification submodule is to gather different based on camera
Face location during posture, obtains multiple two-dimension human face image information, and then judge the human face image information of collection whether one
In individual plane.If testing result in the same plane, judge collection as Static Human Face image；If testing result is not same
In one plane, then judge collection as dynamic human face image.
Estimated using the coplanar attribute to two-dimensional images characteristic point, with the corresponding space region of judging characteristic point
Whether domain is same plane, so as to reliably to judge that image comes from photographic intelligence, or actual dynamic (three-dimensional) face letter
Breath, and then improve the technology of Face datection reliability.
In order to achieve the above object, this terminal provides three-dimensional face identification technology：According to coplanar o'clock of space in two width figures
Corresponding points in image plane should meet plane homography constraint, and the characteristic point progress to the human face region of extraction is coplanar about
Beam differentiates, to determine whether facial image obtains from plane picture.
Same video camera is imaged under two diverse locations to same face, or two video cameras are simultaneously to one
Individual face imaging, or video camera fixation, to mobile face acquisition time image, principle is the same, belongs to same in scene
Point in individual space plane, coordinate position in two images should meet plane homography constraint, i.e.,：
p’i∝Hpi
Here p 'i, piFor in two images, the corresponding image coordinate of the same space point, H is plane homography.
In space, three points not on the same line can uniquely determine a plane, and space plane can use parameter
[nT,-d]TTo describe, wherein n is the normal vector of space plane, and d is distance of the space plane to video camera system round dot.The sky
Between plane parameter can use three characteristic points, with linear method calculate obtain.
On the image plane, defining point is to the distance of plane：
In plane monitoring-network, the image zooming-out 2D characteristic points first to acquisition, and the corresponding relation set up between feature.
It is public according to the distance of point to plane to feature of interest point and its corresponding points in other images on the plane of delineation
Formula, calculate each to range error value.If error amount illustrates this no more than the error higher limit of a setting
The corresponding spatial point of a little characteristic points is the point on same plane, it follows that acquired image is from 2D plane faces such as pictures
Image.
Described recognition methods, comprises the following steps：
1) obtains two width or the image of several faces；
2) carries out feature point extraction processing to the image of acquisition, obtains multiple 2D characteristic points, is built using vision matching technology
The corresponding relation of vertical characteristic point；
3) the character pair point in arbitrary extractings two images, Calculation Plane homography matrix H；
4) calculates the error amount of all character pair points；
5) sets an error higher limit, if step 4) in calculate error amount less than or equal to setting value, illustrate
The characteristic point for participating in calculating belongs to same plane point, and step next step is transferred to if the error amount of characteristic point is more than setting value；
6) determines the characteristic point in Face datection region with method for detecting human face, and should using characteristic point Calculation Plane list
Matrix；
7) calculates the corresponding error of face characteristic provincial characteristics point；
8) sets an error higher limit, judgment step 7) whether the error that draws be less than or equal to the setting value；
9) if it is characteristic point belongs to coplanar point to, is real people if otherwise characteristic point is not belonging to coplanar point
Face image.
Step 1) described image is that same face is imaged under diverse location by single camera to obtain, or shooting
Machine fixation is either shot in synchronization by two or more video cameras to the image of mobile face acquisition time and obtained,
The acquisition of facial image is that when using two cameras, two cameras shoot same person simultaneously in diverse location
Face.Image zooming-out characteristic point to shooting simultaneously sets up corresponding relation, and H-matrix is obtained using the LMEDS methods estimation of good reliability.
Calculate the error amount of each characteristic point and compared with the error higher limit of setting, characteristic point belongs to coplanar if no more than setting value
Point, if more than setting value, human face region is detected using human face detection tech, the characteristic point extracted in human face region is counted again
Plane homography is calculated, the error amount of human face region characteristic point is calculated and is compared with the error amount of setting, if being less than or equal to
Setting value then thinks that these points of human face region correspond to same plane, can determine that the image of acquisition from true if more than setting value
Real face.
The calculating of above-mentioned plane homography uses Least Square Method or LMEDS algorithms.
Dynamic human eye identification submodule is that showing for blink or Rotation of eyeball can occur in driving procedure based on driver
As during this terminal collection face characteristic, all being demarcated to the upper lower eyelid and eyeball of human eye.During Face datection, adopt
Collect the human face image information of different time, human eye eyelid and eyeball feature are compared, set predetermined threshold value.If testing result
Contrast difference be less than or equal to predetermined threshold value, then judges gather as Static Human Face image；If testing result contrast difference is big
In predetermined threshold value, then judge collection as dynamic human face image.
IC-card identification module supports the non-contact IC card of ISO/IEC14443/MIFARE agreements, wherein, MIFARE cards are
Current usage amount in the world is maximum, a kind of induction type intellective IC card that technology is most ripe, performance is most stable, memory size is maximum.
Traditional IC-card uses Contact Type Ic Card, need to insert in fixed card slot IC-card when using and read related data, easily lead
Cause the consequences such as slot damage, loose contact.Using non-contact IC card, i.e. radio-frequency card, student only need to be closely close by IC-card
Timing terminal of having the records of distance by the log just can read student's identity information, greatly facilitate the use of student and the reading of identity information, while eventually
End reduces production cost, improves the appearance looks elegant degree of end product also without individually designed IC-card slot.
We have found that a lot of students often leave behind student's IC-card during actual traditional use, but body is carried with
Part card.As shown in figure 3, we are integrated with identity card identification submodule again in IC-card identification module.Traditional China second-generation identity card
Identifier uses Type B non-contact IC card reading technologies, safety control module (SAM) is demonstrate,proved by embedded private identity, with nothing
Line transmission means carries out data exchange with the special chip in No.2 residence card, can provide the personal information in chip
Material is read.In view of the privacy of personal identity card information, the typically only particular place such as public security, hotel could be gathered, in order to protect
The personal information of barrier student does not leak, and the identity card identification module that we design only gathers No. ID (sequence of identity card of student
Number), the personal private information such as personal registered permanent residence address and birthday is not gathered.When making student's IC-card, we will be every in system
The identity card ID of individual student is associated with the information of trainee in IC-card, is learned when reading identity card physics ID equivalent to reading
Member's IC-card.This design method simplifies the composition structure of China second-generation identity card identifier, it is not necessary to design embedded private identity
Safety control module (SAM) is demonstrate,proved, only needs integrated identity card ID identifying systems just can be with.
Fingerprint acquiring and identifying module can specifically use semicoductor capacitor formula fingerprint instrument.
Satellite positioning module supports a variety of location technologies of the GPS/GLONASS/ Big Dippeves, and the module realizes real-time time, position
The positioning states information gathering such as coordinate, speed and direction is put, the position location request of one or more Surveillance center can be received, and
Enter row positional information upload；Support temporally, apart from interval or external event triggering mode upload location information.Satellite fix mould
Block is capable of the driving trace of accurate recording vehicle, and the distance travelled to vehicle carries out accurate geo-statistic.Administrative center of driving school or
The location information that vehicle administration office's supervision center can also be sent by satellite positioning module is accurately positioned driving vehicle position.
The terminal can be by selftest module to terminal operating status self-inspection, to vehicle operating status self-inspection, to sensor work
Make state self-inspection, self-inspection, regular self-inspection are booted up to crucial running status, by platform transmitting order to lower levels requirement self-inspection.
External interface module includes TF bayonet sockets, supports 64G, 128G storage；Two USB interfaces a, USB interface is located at shell
Body, supports USB2.0 or USB3.0 standards, built in a USB interface, supports USB debugging：SIM card interface, supports mobile logical
Letter；Ethernet interface, supports 10/100M Ethernets；Serial line interface, supports RD232 interfaces；Antennal interface, including satellite fix
The exceedingly high line of antenna, the whole network, antennal interface is configured on housing；25PIN terminal interfaces wire harness offer power supply is powered, ACC signals, arteries and veins
Rush serial, 10/100M Ethernet interface interfaces of signal, 2*USB (video input), 2*RS232 etc..
The terminal also includes speech communication function, built-in No. 1 microphone and 1 road 2W loudspeaker, for in-car driver and religion
Practice member and carry out voice call with administrative center of driving school or vehicle administration office's supervision center.Run into emergency, administrative center of driving school or
Person vehicle administration office supervision center can be by voice informing occupant, or carries out related guidance operation.If occupant has found
Special circumstances can also inform administrative center or supervision center by speech communication module.
The terminal device also supports the equipment such as OBD, DVR to access.Also include 3 physical buttons outside it, support
Keypress function customization of individual character.
Power module uses vehicle power, i.e. automobile storage battery to power.
As fully visible, the vehicle-mounted timing disclosed in embodiment have the records of distance by the log terminal can using arm processor, Android operation system
System, liquid crystal touch screen, support the whole network to lead to mobile communication, Wi-Fi radio communications, GPS/GLONASS/ Big Dipper multiple types satellites
Position, IC-card identification function, fingerprint collecting identification function, facial image identification function, video shooting and monitoring camera-shooting, audio monitoring
The functions such as processing.In actual application, IC-card identification module identifies student's IC-card or student's ID card information, then adds
One of upper fingerprint recognition and face recognition result are assured that the true identity of driver.It is also applied for sample terminal to religion
Practice the identification of member, facilitate driving school to carry out related management to coach.
Although embodiment of the present invention is described above in association with accompanying drawing, the invention is not limited in above-mentioned
Specific embodiments and applications field, above-mentioned specific embodiment is only schematical, guiding, rather than restricted
's.One of ordinary skill in the art is not departing from the scope that the claims in the present invention are protected under the enlightenment of this specification
In the case of, the form of many kinds can also be made, these belong to the row of protection of the invention.
Claims (10)
- The terminal 1. a kind of vehicle-mounted timing is had the records of distance by the log, it is characterised in that the terminal include processor module, and with processor module phase The memory module of connection, display module, communication module, image/video acquiring and identifying module, IC-card identification module, satellite fix Module, fingerprint acquiring and identifying module, wherein memory module use embedded memory.
- The terminal 2. vehicle-mounted timing according to claim 1 is had the records of distance by the log, it is characterised in that the communication module includes mobile communication Submodule and wireless LAN communication submodule, wherein mobile communication submodule support the whole network to lead to.
- The terminal 3. vehicle-mounted timing according to claim 1 is had the records of distance by the log, it is characterised in that described image video acquisition identification module Including the camera for gathering driver's face information, for the camera of collecting vehicle external information, and in collecting vehicle The camera of information.
- The terminal 4. vehicle-mounted timing according to claim 1 is had the records of distance by the log, it is characterised in that described image video acquisition identification module Multiple light courcess recognition of face submodule is configured with, 21-106 key point information of face is gathered, by cascading regression algorithm, depth Practise face calibration algorithm and realize high accuracy recognition of face.
- The terminal 5. vehicle-mounted timing according to claim 1 is had the records of distance by the log, it is characterised in that image/video acquiring and identifying module is also wrapped Include one or a combination set of real-time face identification submodule, three-dimensional face identification submodule, dynamic human eye identification submodule.
- The terminal 6. the vehicle-mounted timing according to one of claim 1-5 is had the records of distance by the log, it is characterised in that the IC-card identification module branch Non-contact IC card identification is held, and is configured with identity card identification submodule.
- The terminal 7. the vehicle-mounted timing according to one of claim 1-5 is had the records of distance by the log, it is characterised in that the satellite positioning module branch GPS/GLONASS/ BEI-DOU position systems are held, the position location request of one or more Surveillance center, and uploading position is received Information, is supported at timed intervals, apart from interval or external event triggering mode upload location information.
- The terminal 8. the vehicle-mounted timing according to one of claim 1-5 is had the records of distance by the log, it is characterised in that go back built-in microphone and raise one's voice Device, voice call is carried out for in-car driver, coach and administrative center of driving school, vehicle administration office's supervision center.
- The recognition methods of terminal 9. a kind of one of the usage right requirement 1-8 vehicle-mounted timing is had the records of distance by the log, it is characterised in that the party Method includes：Step 1, the student's IC-card or identity card of student are identified IC-card identification module, determine student's essential information；Step 2, fingerprint acquiring and identifying module collection student's finger print information, verifies whether the finger print information collected belongs to above-mentioned Member；Step 3, whether image/video acquiring and identifying module collection student's face information, the face information that further checking is gathered belongs to In above-mentioned student；Step 4, image/video acquiring and identifying module gathers student's face information by setting time interval, and carries out face letter in real time Breath checking.
- 10. recognition methods according to claim 9, it is characterised in that the step 3 also includes three-dimensional face identification step One or a combination set of with dynamic human eye identification step, whereinThree-dimensional face in three-dimensional face identification step, image/video acquiring and identifying module recognizes submodule to student's face information Verified；Dynamic human eye in dynamic human eye identification step, image/video acquiring and identifying module recognizes submodule to student's human eye information Verified.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710616479.5A CN107274508A (en) | 2017-07-26 | 2017-07-26 | A kind of vehicle-mounted timing have the records of distance by the log terminal and using the terminal recognition methods |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710616479.5A CN107274508A (en) | 2017-07-26 | 2017-07-26 | A kind of vehicle-mounted timing have the records of distance by the log terminal and using the terminal recognition methods |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107274508A true CN107274508A (en) | 2017-10-20 |
Family
ID=60078176
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710616479.5A Pending CN107274508A (en) | 2017-07-26 | 2017-07-26 | A kind of vehicle-mounted timing have the records of distance by the log terminal and using the terminal recognition methods |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107274508A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108038932A (en) * | 2018-01-26 | 2018-05-15 | 成都杏仁网络科技有限公司 | A kind of Driving Test car-mounted terminal |
| CN108171038A (en) * | 2018-02-07 | 2018-06-15 | 广州星唯信息科技有限公司 | A kind of authentication of vehicle-mounted driving training intelligence system based on video image identification and process supervision method |
| CN108985276A (en) * | 2018-08-21 | 2018-12-11 | 盯盯拍（深圳）技术股份有限公司 | Vision AI algorithmic system design method, vision AI algorithmic system design device and vision AI algorithmic system |
| CN113936527A (en) * | 2021-09-16 | 2022-01-14 | 合肥越明交通电子科技有限公司 | Driving examination room simulation vehicle supervision system |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201472308U (en) * | 2009-08-18 | 2010-05-19 | 戴国新 | Automobile monitoring system based on 3G network |
| CN103106703A (en) * | 2013-01-14 | 2013-05-15 | 张平 | Anti-cheating driver training recorder |
| CN103359020A (en) * | 2013-07-04 | 2013-10-23 | 陈凌峰 | Motorcycle driving training or examination monitoring method and system |
| CN103824050A (en) * | 2014-02-17 | 2014-05-28 | 北京旷视科技有限公司 | Cascade regression-based face key point positioning method |
| CN104951773A (en) * | 2015-07-12 | 2015-09-30 | 上海微桥电子科技有限公司 | Real-time face recognizing and monitoring system |
| CN105023010A (en) * | 2015-08-17 | 2015-11-04 | 中国科学院半导体研究所 | Face living body detection method and system |
| CN105518582A (en) * | 2015-06-30 | 2016-04-20 | 北京旷视科技有限公司 | Vivo detection method and device, computer program product |
| CN205210977U (en) * | 2015-11-04 | 2016-05-04 | 无锡宙斯物联网股份有限公司 | Discernment driver is training record appearance in violation of rules and regulations |
| CN105590506A (en) * | 2016-03-07 | 2016-05-18 | 山东大学 | Monitoring system for learner-driven vehicle and working method thereof |
| CN205722015U (en) * | 2016-04-12 | 2016-11-23 | 广州星唯信息科技有限公司 | A kind of vehicular driving training system based on mobile Internet |
| CN106326853A (en) * | 2016-08-19 | 2017-01-11 | 厦门美图之家科技有限公司 | Human face tracking method and device |
| CN106909882A (en) * | 2017-01-16 | 2017-06-30 | 广东工业大学 | A kind of face identification system and method for being applied to security robot |
-
2017
- 2017-07-26 CN CN201710616479.5A patent/CN107274508A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201472308U (en) * | 2009-08-18 | 2010-05-19 | 戴国新 | Automobile monitoring system based on 3G network |
| CN103106703A (en) * | 2013-01-14 | 2013-05-15 | 张平 | Anti-cheating driver training recorder |
| CN103359020A (en) * | 2013-07-04 | 2013-10-23 | 陈凌峰 | Motorcycle driving training or examination monitoring method and system |
| CN103824050A (en) * | 2014-02-17 | 2014-05-28 | 北京旷视科技有限公司 | Cascade regression-based face key point positioning method |
| CN105518582A (en) * | 2015-06-30 | 2016-04-20 | 北京旷视科技有限公司 | Vivo detection method and device, computer program product |
| CN104951773A (en) * | 2015-07-12 | 2015-09-30 | 上海微桥电子科技有限公司 | Real-time face recognizing and monitoring system |
| CN105023010A (en) * | 2015-08-17 | 2015-11-04 | 中国科学院半导体研究所 | Face living body detection method and system |
| CN205210977U (en) * | 2015-11-04 | 2016-05-04 | 无锡宙斯物联网股份有限公司 | Discernment driver is training record appearance in violation of rules and regulations |
| CN105590506A (en) * | 2016-03-07 | 2016-05-18 | 山东大学 | Monitoring system for learner-driven vehicle and working method thereof |
| CN205722015U (en) * | 2016-04-12 | 2016-11-23 | 广州星唯信息科技有限公司 | A kind of vehicular driving training system based on mobile Internet |
| CN106326853A (en) * | 2016-08-19 | 2017-01-11 | 厦门美图之家科技有限公司 | Human face tracking method and device |
| CN106909882A (en) * | 2017-01-16 | 2017-06-30 | 广东工业大学 | A kind of face identification system and method for being applied to security robot |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108038932A (en) * | 2018-01-26 | 2018-05-15 | 成都杏仁网络科技有限公司 | A kind of Driving Test car-mounted terminal |
| CN108171038A (en) * | 2018-02-07 | 2018-06-15 | 广州星唯信息科技有限公司 | A kind of authentication of vehicle-mounted driving training intelligence system based on video image identification and process supervision method |
| CN108985276A (en) * | 2018-08-21 | 2018-12-11 | 盯盯拍（深圳）技术股份有限公司 | Vision AI algorithmic system design method, vision AI algorithmic system design device and vision AI algorithmic system |
| CN113936527A (en) * | 2021-09-16 | 2022-01-14 | 合肥越明交通电子科技有限公司 | Driving examination room simulation vehicle supervision system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108549854B (en) | A kind of human face in-vivo detection method | |
| CN107274508A (en) | A kind of vehicle-mounted timing have the records of distance by the log terminal and using the terminal recognition methods | |
| CN105303632B (en) | A kind of mobile monitor is registered system and method for work | |
| CN105243386B (en) | Face living body judgment method and system | |
| CN109446981A (en) | A kind of face's In vivo detection, identity identifying method and device | |
| US20050238208A1 (en) | Handheld biometric computer for 2D/3D image capture | |
| US20040151347A1 (en) | Face recognition system and method therefor | |
| CN109858371A (en) | The method and device of recognition of face | |
| CN107437120A (en) | The management system and management method of driving training | |
| CN107316542A (en) | A kind of on-vehicle control apparatus and system for being applied to Driving Test, driving training | |
| CN105718863A (en) | Living-person face detection method, device and system | |
| CN109003347A (en) | A kind of anti-cheating movable attendance checking terminal | |
| EP2148295A1 (en) | Vein pattern management system, vein pattern registration device, vein pattern authentication device, vein pattern registration method, vein pattern authentication method, program, and vein data structure | |
| US11521473B2 (en) | Audio/video electronic device | |
| Farrukh et al. | FaceRevelio: a face liveness detection system for smartphones with a single front camera | |
| CN109670298A (en) | A kind of register method and system for identification | |
| CN207965988U (en) | Electronics class board with face identification functions | |
| CN106586731A (en) | Visitor identifying system and method and cat eye | |
| CN108090339A (en) | Tripper, method and electronic equipment based on recognition of face | |
| CN207337484U (en) | A kind of vehicle-mounted timing is had the records of distance by the log terminal | |
| CN113052127A (en) | Behavior detection method, behavior detection system, computer equipment and machine readable medium | |
| CN208110708U (en) | Identify equipment and gate inhibition | |
| CN111241918A (en) | Vehicle anti-tracking method and system based on face recognition | |
| CN110175522A (en) | Work attendance method, system and Related product | |
| CN109803450A (en) | Wireless device and computer connection method, electronic device and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20171020 |