CN103106703A - Anti-cheating driver training recorder - Google Patents
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- CN103106703A CN103106703A CN2013100107907A CN201310010790A CN103106703A CN 103106703 A CN103106703 A CN 103106703A CN 2013100107907 A CN2013100107907 A CN 2013100107907A CN 201310010790 A CN201310010790 A CN 201310010790A CN 103106703 A CN103106703 A CN 103106703A
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Abstract
The invention relates to a vehicle-mounted device, and in particular relates to an anti-cheating driver training recorder capable of combining automatic identification and manual intervention. A central processing unit (CPU) of the anti-cheating driver training recorder is connected with a locating module, a fingerprint identification module, a face recognition module, an in-vivo detection module, an identity recognition module and a memory respectively; and the CPU is connected with a driver training supervisory system by a wireless communication module. The anti-cheating driver training recorder effectively solves various cheating problems in the motor vehicle driver training, thus guaranteeing the training quality and effectively monitoring the motor vehicle driver training.
Description
Technical field
The present invention relates to car-mounted device, particularly the anti-cheating driver training pen recorder that combines with manual intervention of a kind of automatic identification.
Background technology
In recent years, class hour " shrink " often appears in some driving schools that accomplish the object of profit making in training, and student training class hour is not enough, and the trainer teaches bad, causes the driver training Quality Down.For this reason, the Ministry of Public Security clearly proposes " supervise and improve driving school's training quality, hold the driver and train pass number one in the examination " in 17 strict driver's educational managements of measure of issue on March 22nd, 2012.And regulation: on April 1st, 2012 rose, big-and-middle-sized passenger-cargo carriage driver is trained the driving school that does not adopt timing management system, October 1 rose, to the driving school that the time training management is not adopted in automotive-type driver training, the examination application off the docket of public safety traffic management department.
At present, each driving school generally adopts the driver based on the IC-card identification to train timing management system, finds in practice that this type systematic can not effective execution training class hour, ensures training quality.Part driving school is driven by interests, swipes the card, emits the phenomenon in mixed class hour still quite general by the trainer on behalf of falseness.
In order to stop the cheating in driver training, some Training Management Information System has been introduced anti-cheating function design: the part Training Management Information System is introduced video monitoring function, facilitates public safety traffic management department to carry out remote supervisory.This to falseness the behavior of swiping the card can play deterrent effect to a certain extent.Yet, because adopting manual type, this type of remote supervisory carries out, to waste time and energy, and driving school's vehicle to be regulated is numerous, and the validity of artificial video monitoring can't be protected.In addition, introduce fingerprint identification technology in the part system and carry out identification, at least there are two deficiencies in this type systematic, one is affected by the accuracy of fingerprint identification technology itself, the situation that existence can not correctly be identified, such as the student has just hand-washed complete a lot of clothes, the fingerprint desalination, usually can not correctly identify this moment, and cause normally participating in training.Its two, at present fingerprint duplication cheating technology is very ripe, the product of fingerprint Membrane cover and so on is seen everywhere in Taobao, uses such cheating technology to test on common attendance recorder, percent of pass surpasses 90%.At present most class hours instrument time derive from equipment self, velocity information derives from vehicle speed sensor.According to normal training process, class hour instrument can solve to a great extent driving school and train irregular problem.But what vehicle speed sensor was sent is common pulse signal, is easy to simulation, and indivedual driving schools just practise fraud by buying signal generator.
Summary of the invention
In above-mentioned Vehicle driving training, all kinds of cheating problems, and cause driver training class hour not enough, training quality can't be guaranteed, and administrative authority can't carry out to it problem of effective monitoring, the object of the present invention is to provide a kind of anti-cheating driver training instrument.
The objective of the invention is to realize by following approach: a kind of anti-cheating driver training instrument, it comprises car-mounted terminal, central processing unit in car-mounted terminal connects respectively locating module, fingerprint identification module, face recognition module, live body detection module, identification module and storer, and central processing unit connects the driver training supervisory systems by wireless communication module.
As the further optimization of this programme, described central processing unit connects load module.
As the further optimization of this programme, described central processing unit connects display screen.
As the further optimization of this programme, described central processing unit connects voice cue module.
As the further optimization of this programme, described central processing unit connects vehicle speed sensor.
As the further optimization of this programme, described load module is touch control screen or button or keyboard.
As the further optimization of this programme, comprise the camera of being located at the place ahead, vehicle driver seat in described face recognition module.
As the further optimization of this programme, described central processing unit is x86 framework chip, ARM framework chip or dsp chip.
As the further optimization of this programme, described identification module is IC-card card reader or rfid interrogator or bar code read write line.
The anti-cheating of the present invention driver training instrument compared with prior art has following feature:
1, can prevent that falseness from swiping the card, emit mixed class hour.The trainer emits the phenomenon in mixed class hour in driving school on behalf of swiping the card, and is commonplace.On the one hand, the driving school take the part profit as purpose maximizes for realizing interests; On the other hand, because the reason such as busy can't be completed normal training, also there is this type of demand in student self.Traditional IC-card work attendance can not be guaranteed the current people that swipes the card, and is the student.Native system is introduced fingerprint recognition and face recognition technology, and the people that swipes the card is carried out authentication timely, can effectively stop the swipe the card generation of behavior of falseness.
2, can prevent from practising fraud to pretend to be the student by fingerprint.Industry has been recognized the drawback that simple IC-card checking student identity mechanism exists.In part occurs recently driver training class hour instrument, begun to adopt the dual identity authentication mechanism of IC-card adding fingerprint identification.Be widely used in fields such as work attendance, criminal investigations the relatively morning that fingerprint identification technology occurs, and this technology itself is also relatively ripe, and this can reduce to a certain extent on behalf of the phenomenon generation of swiping the card.Yet fingerprint cheating technology is also very ripe at present, and as popular fingerprint duplication cheating technology, the test percent of pass surpasses 90% on common attendance recorder, the products such as the needed fingerprint die sleeve of this technology, and cost is extremely low, is seen everywhere on the websites such as Taobao.
3, can prevent the generation of recognition of face cheating technology.Face recognition technology is also very ripe at present, just once uses on a large scale on the Beijing Olympic Games security in 08 year.Practical face recognition technology can Further Division behaviour face detection and location and two processes of recognition of face.The former mainly judges in the image of collection whether have people's face, and at image where people's face; The latter is used for judging whether the facial image that back extracts has been registered in current face database.Typical people's face detection algorithm has the Adaboost algorithm, and typical face recognition algorithms has PCA.People's face cheating technology of main flow before generally being placed in by the video with photo or playback the camera that gathers people's face data, is pretended to be target person.We introduce the live body detection technique for this reason.The implementation of live body detection technique is more.Such as using dual camera to gather facial image, construct the 3D people's face that comprises depth information.The intrinsic three-dimensional information of living body faces is non-existent in photo and video.Can certainly utilize the characteristics of the habitual folding of living human eye meeting, verify living body faces.It is comparatively effective that the human eye movement detects comparison film cheating, also can stop the video playback cheating after coordinating other live body detection techniques.Simultaneously, the view data that gathers in face recognition process can be filed the training supervisory systems in the lump together with student training information, conveniently manually makes a random inspection.
4, in the time of can preventing fingerprint or recognition of face mistake, the thing that legal student can not normally participate in training occurs.Two kinds of recognition technologies are all pattern-recognition in essence.With regard to present technology, be all that view data is carried out Treatment Analysis, by the dimension conversion, data are mapped to lower dimensional space from higher dimensional space, just carry out afterwards range observation.This process must cause loss of data, so discrimination can't reach 100% forever.Gather environment, equipment precision etc. and all can affect discrimination.In addition, the polytrope of biological characteristic also can strengthen the identification difficulty.Such as, just washed clothes, the fingerprint desalination, this moment, fingerprint recognition may be just unsuccessful; For another example, people's facial expression, beard etc. all can affect the success ratio of recognition of face.Therefore, legal student might not pass through the detection of fingerprint recognition or recognition of face yet, and can not participate in normal training.For this reason, we have introduced a kind of mechanism of appealing.If the student does not admit recognition result, can lodge a complaint.Training is normally carried out, and people's face data of the recorded information such as class hour and mileage and collection in training process upload to long-range training supervisory systems in the lump, and the wait manual examination and verification verify to determine its validity.
5, the identification of multi-biological characteristic auto authentication combines with manual intervention, possesses simultaneously the high efficiency of machine processing and the accuracy of artificial treatment.Existing training remote supervisory realizes by installing video monitoring equipment additional mostly, and this scheme can play certain deterrent effect to the driver training cheating.Yet mostly this type of remote supervisory is that manual type carries out, and wastes time and energy.The driver training vehicle is numerous, and the validity of artificial monitoring remote video mode obviously can't guarantee.The present invention adopts artificial intelligence technology, and heavy authentication identification mission is assigned to car-mounted terminal.Remote handle has only been processed for those user clicks the complaint button, may have the record of fingerprint or recognition of face mistake, and pending data volume greatly reduces.And remote management terminal do not need at once the complaint record of uploading is processed, and increased the dirigibility of supervision.
6, guarantee the authenticity of training record.For guaranteeing that class hour number, mileage number that training class hour instrument is recorded to are real, technology has generally added vehicle speed sensor at present, detects when class hour, instrument was worked, whether vehicle is kept in motion.The deficiency of this scheme is, the time common pulse signal that vehicle speed sensor is sent is easy to simulation, and part driving school practises fraud with common signal generator.In the present invention, the scheme that we adopt vehicle speed sensor and vehicle location coordinate data to merge can effectively stop the generation of above-mentioned phenomenon.In real training process, vehicle speed sensor should be able to be sent signal, and vehicle coordinate also should change simultaneously.The record of remaining unchanged for a long period of time of vehicle location coordinate data (as the gps coordinate data) is obviously false record.In the present invention simultaneously, we postpone till face recognition process in the vehicle operating process and carry out at random, and in the time of can guaranteeing that training is carried out, on main steering position is the student.In training process, can not timing gather facial image simultaneously, file in the lump together with training record, facilitate the later stage selective examination.
Description of drawings
Below in conjunction with accompanying drawing, the present invention is described in further detail:
Fig. 1 is structure block diagram of the present invention;
Fig. 2 is workflow schematic diagram of the present invention;
In figure, locating module 1, fingerprint identification module 2, face recognition module 3, live body detection module 4, display screen 5, central processing unit 6, wireless communication module 7, driver training supervisory systems 8, storer 9, voice cue module 10, vehicle speed sensor 11, identification module 12, load module 13.
Embodiment
As shown in Figure 1, the anti-cheating of the present invention driver training instrument, its central processing unit 6 connects respectively locating module 1, fingerprint identification module 2, face recognition module 3, live body detection module 4, identification module 12 and storer 9, central processing unit 6 connects the driver training supervisory systems 8 of traffic by wireless communication module 7, above structure has consisted of the basic framework of the anti-cheating of the present invention driver training instrument, can realize basic function.
Wherein, described central processing unit 6 chip that is x86 framework chip, ARM framework chip or dsp chip or other frameworks; Described locating module 1 comprises the chip module based on one or more location technologies such as GPS, double satellite receiver positioning systems, is used for directly or indirectly obtaining the positional information of vehicle; Described fingerprint identification module 2 can be the hardware module of the encapsulation of special use, can be also a flogic system of software and hardware combining.Being characterized in comprising a finger print acquisition module, can be optical profile type, condenser type and pressure-sensitive, also can obtain fingerprint image by scanner, digital camera etc.The chip that fingerprint image data is processed can be integrated in the finger prints processing system, can be also to use the central processing unit 6 of this device to carry out calculation process; Described face recognition module 3 can be the hardware module of the encapsulation of special use, can be also a flogic system of software and hardware combining.Camera is located at the place ahead, vehicle driver seat, mainly gathers the image information in main operator seat zone to a plurality of cameras to be characterized in comprising one, uses face recognition technology and judges whether it is whether main operator seat personnel are students.Face recognition technology is when realizing, can Further Division behaviour face detection and location and two processes of recognition of face, the former mainly judges in the image of collection whether have people's face, and at image where people's face, the latter is used for judging whether the facial image that back extracts has been registered in current face database, people's face detects can use the Adaboost scheduling algorithm, and recognition of face can be used PCA, LDA scheduling algorithm.People's face detects and the chip of the needed processor of face recognition process can be integrated in the face processing system, can be also that the central processing unit 6 of this device of use carries out calculation process.described live body detection module 4 its objective is the generation that prevents from might facing the means cheatings such as video that use photo or playback in face recognition module, can be based on the live body detection technique of people's face physiological motion, also can make the live body detection technique based on human body physiological characteristics or other features, also can make other any feasible live body detection techniques, such as using dual camera to gather facial image, construct the 3D people's face that comprises depth information, the intrinsic three-dimensional information of living body faces is non-existent in photo and video, can determine whether true man people's face thus, the live body detection module can be special-purpose hardware module, also can say the module of software and hardware combining, the communication module that described wireless communication module 7 can be the 2.5G network (as the gprs module), also can make the 3G network communication module, or other cordless communication network modules such as 4g, or the communication module of the wlan standards such as IEEE 802.11x series and HiperLAN/x, can also be the wireless communication modules such as bluetooth.
On this basis, the present invention has also added the function setting of more hommizations, and described central processing unit 6 connects load module 13, and load module 13 can be the touch control screen, can be also other kinds button, button, standard or off-gauge keyboard.Described central processing unit 6 connects display screens 5, the function that this display screen 5 also can integrated touch be controlled.Described central processing unit 6 connects voice cue module 10, and it can store the speech data of information commonly used, and carry out when being necessary selectivity and play, can be also to export after directly text message being synthesized speech data by voice synthetic module.Described display screen can be LED or LCD display module, and gray scale is shown, can be also that coloured image shows.
As shown in Figure 2, the course of work of the anti-cheating of the present invention driver training instrument is as follows:
When 1, the student registers to register, will record personal information in driver training supervisory systems 8, as personal information, individual photo, finger print information, the information such as training school's numbering.When the student participates in training, its effective training record, the information such as examination situation also will be registered in driver training supervisory systems 8.
When 2, training the instrument initialization, the training instrument logs in driver training supervisory systems 8 via wireless communication module 7, and therefrom downloads the student data relevant to this driving school in storer 9.
When 3, training, the student holds IC-card and carries out authentication by identification module 12.
If there is matched data in this locality, carries out the fingerprint recognition authentication by display screen 5 or voice cue module 10 prompting users, and entered for the 4th step.
Without matched data, initiate the local data update request as this locality, the training instrument will log in driver training supervisory systems 8 and carry out Data Update, and in the data after renewal, student's IC-card information be verified.If still there is no matched data this moment, by display screen 5 or voice cue module 10 prompting matching results and training ending message.
4, by fingerprint identification module 2, the user is carried out the fingerprint recognition authentication.If fingerprint recognition is passed through, by display screen 5 or voice cue module 10 prompting identification successful information, and point out the user can begin training process, and entered for the 5th step.If fingerprint recognition is not passed through, by display screen 5 or the voice cue module 10 unsuccessful information of prompting identification, and point out the user to abandon training, perhaps can appeal because not admitting recognition result, request is manually differentiated.The user sends the complaint request with load module 13, processes according to the 7th step.
5, the student starts automobile, and locating module 1 and vehicle speed sensor 11 change and the vehicle speed sensor data variation the vehicle location coordinate data being detected respectively, and training process formally begins.System begins record training class hour and mileage information, and vehicle location Grid Track data.The validity of this information needs further judgement, has used fingerprint cheating technology to prevent the student in the 4th step.
When 6, vehicle is in running status, system random access time, view data by the camera collection master steering position in face recognition module 3, go forward side by side people's face position in pedestrian's face detection and location image, and the facial image after extraction removal background, and then carry out recognition of face, determine whether IC-card holder's facial image data.Judge by live body detection module 4 whether the data of camera collection pass through the cheating data of photo or video playback apparatus generation.If face recognition result conforms to, and live body detects the non-forgery cheating of this people's face of confirmation data.This student of system's official confirmation is effective student.
7, in fingerprint identification module 2 and face recognition module 3, not by the student of authentication, provide a kind of mechanism of complaint.User click is arranged in the complaint button of display screen 5 or load module 13, and training is proceeded, the training data normal recordings.From the student's data that detect by fingerprint and people's face unique different be to have increased the sign that needs the remote handle audit to confirm.Data upload is after remote management terminal, and management end will extract such data to be confirmed for staff's manual examination and verification, and the data that audit is passed through record in archives adding user training to, do not pass through the data of audit, after acquiescence keeps the number of days of setting, and Automatic clearance.Auditing result will arrive car-mounted terminal by network-feedback.
8, the vehicle location coordinate data does not change or the vehicle speed sensor data do not change, and accumulative total reaches the stipulated time, and perhaps the student initiatively withdraws from training.Training finishes, system is with training data (information recording /s such as view data that gather in beginning concluding time, vehicle location coordinate data, face recognition process are in local archive of student), according to system's setting, these data can be in time or are regularly uploaded to remote management terminal, for the audit of telemanagement end subscriber or selective examination.
The mainly anti-cheating in the following way of the anti-cheating of the present invention driver training instrument:
1, swipe the card from this locality or the remote management terminal information of trainee by IC-card, by fingerprint recognition, judge tentatively whether current holder is the student.The IC-card authentication is not passed through, and directly finishes training.
2, by vehicle location coordinate data situation of change and vehicle speed sensor signal intensity situation, judge comprehensively whether present driver's vehicle is kept in motion, can prevent effectively that driving school from simulating the cheating of vehicle speed sensor signal by buying signal generator.
When 3, vehicle was kept in motion, system began record training class hour and mileage information, and the GPS track data.The validity of this information needs further judgement.
When 4, vehicle is in running status, system random access time, view data by camera collection master steering position, go forward side by side people's face position in pedestrian's face detection and location image, and the facial image after extraction removal background, and then carry out recognition of face, determine whether IC-card holder's facial image data.The live body detection module judges whether the data of camera collection pass through the cheating data of photo or video playback apparatus generation.If face recognition result conforms to, and live body detects the non-forgery cheating of this people's face of confirmation data.This student of system's official confirmation is effective student.
5, the vehicle location coordinate data does not change or the vehicle speed sensor data do not change, and accumulative total reaches the stipulated time, and perhaps the student initiatively withdraws from training.Training finishes, and system is training data (information recording /s such as beginning concluding time, vehicle location coordinate data, view data are in local archive of student), and according to system's setting, these data can be in time or regularly uploaded to remote management terminal.
6, in fingerprint recognition and face recognition process, not by the student of authentication, provide a kind of mechanism of complaint.User click complaint button, training is proceeded, the training data normal recordings.From the student's data that detect by fingerprint and people's face unique different be to have increased the sign that needs the remote handle audit to confirm.Data upload is after remote management terminal, and management end will extract such data to be confirmed for staff's manual examination and verification, and the data that audit is passed through record in archives adding user training to, do not pass through the data of audit, after acquiescence keeps the number of days of setting, and Automatic clearance.Auditing result will arrive car-mounted terminal by network-feedback.
Claims (9)
1. prevent cheating driver training instrument for one kind, it is characterized in that: it comprises car-mounted terminal, central processing unit in car-mounted terminal (6) connects respectively locating module (1), fingerprint identification module (2), face recognition module (3), live body detection module (4), identification module (12) and storer (9), and central processing unit (6) connects driver training supervisory systems (8) by wireless communication module (7).
2. anti-cheating driver training instrument as claimed in claim 1, is characterized in that: described central processing unit (6) connection load module (13).
3. anti-cheating driver training instrument as claimed in claim 1 or 2, is characterized in that: described central processing unit (6) connection display screen (5).
4. anti-cheating driver training instrument as claimed in claim 1, is characterized in that: described central processing unit (6) connection voice cue module (10).
5. anti-cheating driver training instrument as claimed in claim 1, is characterized in that: described central processing unit (6) connection vehicle speed sensor (11).
6. anti-cheating driver training instrument as claimed in claim 2, it is characterized in that: described load module (13) is touch control screen or button or keyboard.
7. anti-cheating driver training instrument as claimed in claim 1, it is characterized in that: described face recognition module comprises the camera of being located at the place ahead, vehicle driver seat in (3).
8. as claim 1 or 2 or 4 or 5 described anti-cheating driver training instrument, it is characterized in that: described central processing unit (6) is x86 framework chip, ARM framework chip or dsp chip.
9. anti-cheating driver training instrument as claimed in claim 1, it is characterized in that: described identification module (12) is IC-card card reader or rfid interrogator or bar code read write line.
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