CN107393050A - Suitable for face, the drive recorder based on Internet of Things of eye recognition - Google Patents

Suitable for face, the drive recorder based on Internet of Things of eye recognition Download PDF

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Publication number
CN107393050A
CN107393050A CN201710648004.4A CN201710648004A CN107393050A CN 107393050 A CN107393050 A CN 107393050A CN 201710648004 A CN201710648004 A CN 201710648004A CN 107393050 A CN107393050 A CN 107393050A
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module
internet
face
things
computing
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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
    • 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
    • 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
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/008—Registering or indicating the working of vehicles communicating information to a remotely located station
    • 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
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G07C5/0841—Registering performance data
    • G07C5/085—Registering performance data using electronic data carriers
    • G07C5/0866—Registering performance data using electronic data carriers the electronic data carrier being a digital video recorder in combination with video camera

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Human Computer Interaction (AREA)
  • Studio Devices (AREA)
  • Traffic Control Systems (AREA)

Abstract

The present invention relates to driving recording monitoring technology field,One kind is suitable to face,The drive recorder based on Internet of Things of eye recognition,Including kernel processing device,Camera,GPS positioning device,Acceleration transducer,Super capacitor,Wireless communication module,Internet-of-things terminal,Internet of Things server,Cloud storage equipment,Face camera and sound broadcasting device,Internet-of-things terminal is connected with Internet of Things server,Internet of Things server is connected with cloud storage equipment,Kernel processing device includes ISP image processing apparatus,Recognition of face computing module,Eye recognition computing module and PERCLOS computing modules,Face camera is connected with ISP image processing apparatus,ISP image processing apparatus and recognition of face computing module,Eye recognition computing module and PERCLOS computing modules are sequentially connected,PERCLOS computing modules are connected with sound broadcasting device.The present invention realizes the real-time online transmission and storage of Large Copacity big data, can interpolate that the driving condition for not meeting specification.

Description

Suitable for face, the drive recorder based on Internet of Things of eye recognition
Technical field
The present invention relates to driving recording monitoring technology field, and in particular to a kind of drive recorder based on Internet of Things.
Background technology
The technology of Internet of things that daily pursuits are connected to internet develops by leaps and bounds, and is just stepping into family's epoch.Use intelligence Mobile phone and tablet personal computer allow people at any time, any place monitoring.Existing driving recording supervising device wraps mostly Camera, arm processor and memory are included, its camera of arm processor stores the road map picture collected into memory, Exported in real time for subsequent query, or by CVBS.Due to the capacity limit of memory, therefore camera data storage is using completely then Excessive principle, according to time sequencing, the data first stored are deleted new data are stored with vacating space.And existing driving recording Instrument only carries out image-capture to car external environment mostly, and for in-car, such as the sitting posture of driver, when driver drives State etc. can not then be identified, have in fact many traffic accidents be exactly exactly driver not according to driving demand specification from Oneself and caused by, such as drive to make a phone call, drive to smoke, fatigue driving etc., therefore, existing drive recorder is in its function knot It need to be improved in terms of the improvement of structure.
The content of the invention
Solve above-mentioned technical problem, will by Internet of Things the invention provides a kind of drive recorder based on Internet of Things View data is uploaded to high in the clouds storage in real time, realizes the real-time online transmission and storage of Large Copacity big data, devises simultaneously Face identification system, it can interpolate that the driving condition for not meeting specification.
In order to achieve the above object, the technical solution adopted in the present invention is a kind of drive recorder based on Internet of Things, Including kernel processing device, camera, GPS positioning device, acceleration transducer, super capacitor, wireless communication module, Internet of Things Terminal, Internet of Things server, cloud storage equipment, face camera and sound broadcasting device, the camera, GPS positioning device, Acceleration transducer, super capacitor, wireless communication module, internet-of-things terminal, face camera and sound broadcasting device are and core Heart processing unit is connected, and the internet-of-things terminal is connected with Internet of Things server, the Internet of Things server and cloud storage equipment Connection, the kernel processing device include image processing module, image encoder, analog output module, simulation output interface, position Put matching module, velocity arithmetic module, power module, ISP image processing apparatus, recognition of face computing module, eye recognition fortune Calculate module and PERCLOS computing modules, the camera are connected with image processing module input, image processing module output end Be connected with image encoder and analog output module, described image encoder and analog output module with internet-of-things terminal and nothing Line communication module is connected, and GPS positioning device is connected with location matches module, and acceleration transducer is connected with velocity arithmetic module, Super capacitor is connected with power module, and the face camera is connected with ISP image processing apparatus, ISP image processing apparatus with Recognition of face computing module, eye recognition computing module and PERCLOS computing modules are sequentially connected, PERCLOS computing modules with Sound broadcasting device connects.
Further, described image processing module is ISP image processing modules, and ISP image processing modules adopt camera The front-end image collected is handled, and mainly includes linearity rectification, noise remove, bad point removal, interpolation, white balance and automatic Spectrum assignment.
H.264 or jpeg coder further, described image encoder is, it is by after the processing of ISP image processing modules Image carry out H.264 or JPEG codings, generation meet the image file of international standard form.
Further, the simulation output interface is CVBS output interfaces, and it coordinates analog output module to adopt camera The analog image collected is modulated into base band video or RCA videos, and sends to internet-of-things terminal and wireless communication module.
Further, the location matches module is used to obtaining the location information of d GPS locating module, and by location information with The base station location that wireless communication module receives is matched, and will meet the location information of threshold range as final anchor point, and Send to internet-of-things terminal.
Further, the acceleration computing module receives the information that acceleration transducer collects, and calculates acceleration Degrees of data, and send to internet-of-things terminal.
Further, the super capacitor provides power supply for power module, and power module is each in kernel processing device Module provides working power.
Further, it is described
The present invention compared with prior art, has the following advantages that by using above-mentioned technical proposal：
The present invention is connected by designing internet-of-things terminal with Internet of Things server, and the Internet of Things server connects with cloud storage equipment Connect, image encoder, simulation output interface, location matches module and velocity arithmetic module are connected with internet-of-things terminal, respectively The output result of module is finally stored to cloud storage equipment by internet-of-things terminal through Internet of Things server, realizes big data High in the clouds stores, and can realize that the high in the clouds of big data is shared by the related data of cloud storage device downloads.
Brief description of the drawings
Fig. 1 is the structural representation of embodiments of the invention.
Fig. 2 is the measuring principle figure of PERCLOS values.
Fig. 3 is the hardware block diagram that PERCLOS computing modules are connected with face camera, sound broadcasting device.
Embodiment
In conjunction with the drawings and specific embodiments, the present invention is further described.
As a specific embodiment, as shown in figure 1, a kind of drive recorder based on Internet of Things of the present invention, bag Include kernel processing device 100, camera 1, GPS positioning device 2, acceleration transducer 3, super capacitor 4, wireless communication module 5, Internet-of-things terminal 6, Internet of Things server 7, cloud storage equipment 8, face camera 16 and sound broadcasting device 21, the camera 1st, GPS positioning device 2, acceleration transducer 3, super capacitor 4, wireless communication module 5, internet-of-things terminal 6, face camera 16 It is connected with sound broadcasting device 21 with kernel processing device 100, the internet-of-things terminal 6 is connected with Internet of Things server 7, institute State Internet of Things server 7 to be connected with cloud storage equipment 8, the kernel processing device 100 includes image processing module 9, image is compiled Code device 10, analog output module 11, simulation output interface 12, location matches module 13, velocity arithmetic module 14, power module 15th, ISP image processing apparatus 17, recognition of face computing module 18, eye recognition computing module 19 and PERCLOS computing modules 20, the camera 1 is connected with the input of image processing module 9, the output end of image processing module 9 and image encoder 10 and mould Intend output module 11 to connect, described image encoder 10 and analog output module 11 with internet-of-things terminal 6 and radio communication mold Block 5 is connected, and GPS positioning device 2 is connected with location matches module 13, and acceleration transducer 3 is connected with velocity arithmetic module 14, is surpassed Level electric capacity 4 is connected with power module 15, and the face camera 16 is connected with ISP image processing apparatus 17, ISP image procossings dress 17 are put to be sequentially connected with recognition of face computing module 18, eye recognition computing module 19 and PERCLOS computing modules 20, PERCLOS computing modules 20 are connected with sound broadcasting device 21.
Described image processing module 9 is ISP image processing modules 9, and ISP image processing modules 9 collect camera 1 Front-end image is handled, and mainly includes linearity rectification, noise remove, bad point removal, interpolation, white balance and automatic exposure control System.
H.264 or jpeg coder described image encoder 10 is, its image after ISP image processing modules 9 are handled Carry out H.264 or JPEG codings, generation meet the image file of international standard form.
The simulation output interface 12 is CVBS output interfaces, and it coordinates analog output module 11 to collect camera 1 Analog image be modulated into base band video or RCA videos, and send to internet-of-things terminal 6 and wireless communication module 5.The simulation is defeated Outgoing interface 12 is also associated with RCA display terminals, can directly display analog image.
The location matches module 13 is used to obtaining the location information of d GPS locating module, and by location information and channel radio The base station location that letter module 5 receives is matched, and will meet the location information of threshold range as final anchor point, and send extremely Internet-of-things terminal 6.
The acceleration computing module 14 receives the information that acceleration transducer 3 collects, and calculates acceleration information, And send to internet-of-things terminal 6.
The super capacitor 4 is that power module 15 provides power supply, and power module 15 is each mould in kernel processing device 100 Block provides working power.
The operation principle of the present invention：Camera sends to ISP image processing modules 9 and simulated defeated after collecting view data View data is carried out linear correction, noise remove, bad point removal, interpolation, Bai Ping by outgoing interface 12, ISP image processing modules 9 The processing of weighing apparatus and auto-exposure control etc., the image after processing, which will be sent to image encoder 10, described image encoder 10, to scheme Picture carries out H.264 or JPEG codings, generation meet the H.264 video or JPEG picture of international standard form, finally will be above-mentioned H.264 video or JPEG picture are sent to internet-of-things terminal 6, and are stored through Internet of Things server 7 to cloud storage equipment 8.The thing Networked server 7 is web server, its can on the basis of the web server of existing fire wall customized user definition layer, increase thing The html file and LAN communication interface of networked terminals 6, realization are connected with the LAN interface of internet-of-things terminal 6, while the web takes Business device is embedded web server, and it is connected with cloud storage equipment 8 by LAN interface, the LAN interface be wireline interface or Wave point, specific implementation can be applied to connection internet-of-things terminal by expanding on the basis of firewall hardware or increasing 5 and the LAN interface of cloud storage equipment 8, it is standard hardware plug-in card.
The view data another way that camera 1 collects enters analog output module 11 and simulation output interface 12, due to The view data that camera collects is simulated image data, therefore analog output module 11 will image with simulation output interface 12 The view data that head collects is modulated into base band video or RCA videos, and sends to internet-of-things terminal 6 and wireless communication module 5. The simulation output interface 12 is also associated with RCA display terminals, can directly display analog image.RAC terminals exist In compartment, accommodating driver oneself monitoring can be entered.Meanwhile base band video or RCA videos are also sent by internet-of-things terminal 6 To Internet of Things server 7, stored after sending to the base band video of Internet of Things server 7 or RCA videos to cloud storage equipment 8, base Band video or RCA videos are also sent to wireless terminal by wireless communication module 5, and the wireless terminal can be with mobile phone, PAD etc. eventually End, can facilitate holder terminal to receive real-time base band video or RCA video by the wireless communication module 5, and to image It is monitored.
GPS positioning device 2 sends the location information collected to location matches module 13, the location matches module 13 The location information is matched with the base station location that wireless communication module 5 receives, the location information for meeting threshold range is made For final anchor point, and send to internet-of-things terminal 6.The threshold value can enter Mobile state according to section, traffic behavior and region and set Put, it has region and ageing, is dynamic threshold, will not be repeated here.The positioning function is as based on Internet of Things The auxiliary allocation function of drive recorder, realize the multi-purpose effect of an instrument.
Acceleration computing module 14 receives the information that acceleration transducer 3 collects, and calculates acceleration information, should add Speed data is used to judge whether driver exceeds the speed limit and remind driver to drive with caution in good time according to the result, the acceleration The real time data that data send to internet-of-things terminal 6, and in Internet of Things server and cloud storage equipment is entered to threshold speed Row real-time online adjusts.
Face camera 16 sends the face image data collected to recognition of face computing module 17, recognition of face fortune Calculate module 17 driver's face is identified, and the face recognition result is sent to eye recognition computing module 19, human eye Human eye data are individually identified in identification computing module 19 from face recognition result, and eye recognition result is sent to PERCLOS and transported Module 20 is calculated, PERCLOS computing modules 20 are the detections using human eye pupillometer and percent eye-closure PERCLO.Wherein Pupillometer is the change frequency for detecting certain a period of time pupil diameter, and PERCLOS methods are to detect eyes in certain a period of time to close Close the ratio shared by the time.
PERCLOS is Percent Eye Closure abbreviation, when referring to shared during the eyes closed within the regular hour Between ratio.There are P70, tri- kinds of metering systems of P80, EM in specific experiment.Wherein P80 is considered as the tired journey that can most reflect people Degree.Fig. 2 is the measuring principle figure of PERCLOS values.Curve is an eyes closed and opens degree at any time during opening in figure Between change curve, the closure for eyes some degree that can be measured according to needed for obtaining this curve or open duration, from And calculate PERCLOS values.T1 is the time that eyes open closure 20% completely in figure；T2 is that eyes open closure completely 80% time；T3 be eyes open completely open next time 20% time；T4 is opened and opened next time completely for eyes 80% time.By measuring t1 to t4 value with regard to PERCLOS value f can be calculated.
Research shows that retina is about 90% to the reflectivity of 850nm wavelength infrared rays, the reflectivity infrared to 940nm About 40%, facial other positions are suitable to both wavelength infrared reflection rates.With the two wavelength of identical illuminance Infrared light supply irradiates, while the reflected image of two wavelength collected only has retina gray scale difference, other positions gray scale base This is identical.Such as two images are subtracted each other, facial most areas gray value is close to 0, only the gray scale ratio of retina It is larger, therefore the position of eyes can be easily found out from face's head portrait, and calculate the area of pupil.The present embodiment The hardware block diagram that PERCLOS computing modules are connected with face camera, sound broadcasting device is as shown in figure 3, PERCLOS computing moulds Block includes 850nm filter plates 24,940nm filter plates 25, image processing module 26,850/940nm infrared LED arrays 23, control System 27, face camera 16 use thermal camera 16, and it shoots driver's face reflected image difference of two wavelength simultaneously Send to 850nm filter plates 24,940nm filter plates 25 and control system 27, filtered through 850nm filter plates 24,940nm filter plates 25 The reflected image that ripple filters out 850nm and 940nm wavelength is sent to image processing module 26, and image processing module 26 is to human face data It is strong to carry out the illumination such as recognition of face computing, eye recognition computing and PERCLOS computings, the offer of 850/940nm infrared LED arrays 23 The 850nm/940nm infrared light supplies of degree to control system, the control system controls the synchronization of each module, controls infrared lamp array Intensity of illumination, and operation result generation alarm command is sent and to sound broadcasting device 21, reminds tired driver.
Although specifically showing and describing the present invention with reference to preferred embodiment, those skilled in the art should be bright In vain, do not departing from the spirit and scope of the present invention that appended claims are limited, in the form and details can be right The present invention makes a variety of changes, and is protection scope of the present invention.

Claims (1)

  1. A kind of 1. drive recorder based on Internet of Things, it is characterised in that：Including kernel processing device, camera, GPS location dress Put, acceleration transducer, super capacitor, wireless communication module, internet-of-things terminal, Internet of Things server, cloud storage equipment, face Camera and sound broadcasting device, the camera, GPS positioning device, acceleration transducer, super capacitor, radio communication mold Block, internet-of-things terminal, face camera and sound broadcasting device are connected with kernel processing device, the internet-of-things terminal and thing Networked server is connected, and the Internet of Things server is connected with cloud storage equipment, and the kernel processing device includes image procossing Module, image encoder, analog output module, simulation output interface, location matches module, velocity arithmetic module, power module, ISP image processing apparatus, recognition of face computing module, eye recognition computing module and PERCLOS computing modules, the camera It is connected with image processing module input, image processing module output end is connected with image encoder and analog output module, institute State image encoder and analog output module is connected with internet-of-things terminal and wireless communication module, GPS positioning device and position Matching module is connected, and acceleration transducer is connected with velocity arithmetic module, and super capacitor is connected with power module, and the face is taken the photograph Picture head is connected with ISP image processing apparatus, ISP image processing apparatus and recognition of face computing module, eye recognition computing module It is sequentially connected with PERCLOS computing modules, PERCLOS computing modules are connected with sound broadcasting device；
    The location matches module is used to obtaining the location information of d GPS locating module, and by location information and wireless communication module The base station location of reception is matched, and will meet the location information of threshold range as final anchor point, and send to Internet of Things Terminal；
    The acceleration computing module receives the information that acceleration transducer collects, and calculates acceleration information, and sends To internet-of-things terminal；
    PERCLOS computing modules include 850nm filter plates, 940nm filter plates, image processing module, 850/940nm infrared LEDs Array, control system, face camera use thermal camera, and it shoots driver's face reflected image point of two wavelength simultaneously Do not send to 850nm filter plates, 940nm filter plates and control system, filtered out through 850nm filter plates, 940nm filter plates The reflected image of 850nm and 940nm wavelength sends to image processing module, image processing module and carries out face knowledge to human face data The 850nm/ of the intensity of illumination such as other computing, eye recognition computing and PERCLOS computings, the offer of 850/940nm infrared LED arrays 940nm infrared light supplies to control system, the control system controls the synchronization of each module, controls the illumination of infrared lamp array strong Degree, and operation result generation alarm command is sent to sound broadcasting device, remind tired driver.
CN201710648004.4A 2015-04-17 2015-04-17 Suitable for face, the drive recorder based on Internet of Things of eye recognition Withdrawn CN107393050A (en)

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CN201710648004.4A Withdrawn CN107393050A (en) 2015-04-17 2015-04-17 Suitable for face, the drive recorder based on Internet of Things of eye recognition
CN201710572273.7A Withdrawn CN107341863A (en) 2015-04-17 2015-04-17 Suitable for face, eye recognition drive recorder and method of work based on Internet of Things
CN201510183309.3A Expired - Fee Related CN104794776B (en) 2015-04-17 2015-04-17 A kind of drive recorder based on Internet of Things
CN201710647433.XA Withdrawn CN107464310A (en) 2015-04-17 2015-04-17 Drive recorder suitable for face, based on Internet of Things
CN201710572815.0A Pending CN107341866A (en) 2015-04-17 2015-04-17 Face, the drive recorder of eye recognition are suitable to based on Internet of Things

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CN201510183309.3A Expired - Fee Related CN104794776B (en) 2015-04-17 2015-04-17 A kind of drive recorder based on Internet of Things
CN201710647433.XA Withdrawn CN107464310A (en) 2015-04-17 2015-04-17 Drive recorder suitable for face, based on Internet of Things
CN201710572815.0A Pending CN107341866A (en) 2015-04-17 2015-04-17 Face, the drive recorder of eye recognition are suitable to based on Internet of Things

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