CN110287794A - A kind of production line face intelligent identifying system - Google Patents
A kind of production line face intelligent identifying system Download PDFInfo
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- CN110287794A CN110287794A CN201910437784.7A CN201910437784A CN110287794A CN 110287794 A CN110287794 A CN 110287794A CN 201910437784 A CN201910437784 A CN 201910437784A CN 110287794 A CN110287794 A CN 110287794A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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Abstract
The invention discloses a kind of production line face intelligent identifying systems, including central processing unit, power module and video camera, the input terminal of the central processing unit is electrically connected by the output end of A/D conversion module and video camera, the central processing unit is electrically connected with the USB interface with PC machine electrical property, the central processing unit is electrically connected with display screen, the central processing unit is electrically connected with memory module, the central processing unit is connected with monitor terminal by radio transmitting and receiving chip signal, and the power module is the power supply of each electric elements；Which which staff this programme can recorde in and which platform machine used by installing FMI in production machine time；When problem occurs, this provides trackability for every machine；It can recorde the unwarranted staff for attempting to touch PC machine, can be to avoid unwarranted worker's illegal operation, and maintenance cost is reduced about 30%.
Description
Technical field
The present invention relates to technical field of face recognition, and in particular to a kind of production line face intelligent identifying system.
Background technique
In recent years, with the fast development of robot technology, catering industry, market, exhibition, the Department of Science and Technology, conference centre,
The occasions such as opening celebration start to be widely applied robot, the manual labor carried out instead of the mankind to a certain extent.With
The continuous promotion of China's administration of justice service, part judicial department started to introduce judicial service robot, pass through judicial server
Device people carries out welcome's information, voice response, the work such as guidance of handling affairs.Judicial robot needs to carry out face knowledge to visiting personnel
Not.
Currently, everybody face of judicial machine identifies that accuracy cannot be guaranteed, it is typically necessary by manually carrying out auxiliary knowledge
Not, the intensity of the labour greatly increased in this way, and accuracy can not be guaranteed.
Summary of the invention
The purpose of the present invention is to provide a kind of production line face intelligent identifying systems, to solve in above-mentioned background technique
The judicial identification device mentioned, typically by manually being identified, the intensity of the labour greatly increased in this way, and also it is accurate
The problems such as property can not be guaranteed.
To achieve the above object, the invention provides the following technical scheme: a kind of production line face intelligent identifying system, including
Central processing unit, power module and video camera, the input terminal of the central processing unit are defeated by A/D conversion module and video camera
Outlet is electrically connected, and the central processing unit is electrically connected with the USB interface with PC machine electrical property, and the central processing unit electrically connects
It is connected to display screen, the central processing unit is electrically connected with memory module, and the central processing unit is believed by radio transmitting and receiving chip
It number is connected with monitor terminal, the power module is the power supply of each electric elements.
Preferably, the central processing unit is T89C51 single-chip microcontroller, and AT89C51 mcu programming has BP neural network calculation
Method, Data fusion technique are the new technologies that developed recently gets up, and neural network is applied as a kind of data fusion method
In multiple fields, neural network have conclude, summarize, extracting, memory, association and fault-tolerance, it relies on the complexity of system,
By adjusting relationship interconnected between internal great deal of nodes, to achieve the purpose that handle information, in application process, lead to
It crosses and trains, obtain related knowledge and information, measured data is compared with this information, carry out data fusion, edge calculations.
Preferably, the central processing unit is electrically connected by voltage detecting circuit and power module, voltage detecting circuit
Micro energy lose precision battery low-voltage detection circuit is constituted for LMP7300, LMP7300 is micropower, accurate benchmark and adjustable sluggishness
Comparator, reference voltage 2.048V, reference voltage precision be 0.25%, supply voltage range be 2.7-12V.
Preferably, the radio transmitting and receiving chip is TC35i-GSM, is the highly integrated GSM mould of double frequency 900/1800MHz
Block.
Preferably, the display screen uses LM016L Liquid Crystal Module, internal to have controller, have the function of simply and compared with
The functions such as character blinking, movement may be implemented in strong instruction set, and 8 or 4 parallel-by-bits transmission 2 can be used with single chip communication
Kind mode, LM016I liquid-crystal data line DO~D7 are connect with P1.0~1.7 mouthful of single-chip computer AT89C52 respectively, control line RS,
RW, RE and the port single-chip microcontroller P2.5, P2.6, P2.7 connect.
Preferably, memory module selects SPI mode, and the pin 1 of single-chip microcontroller is SPI route selection, and pin 2 is the number of spi bus
According to input line, pin 7 is DOL Data Output Line, and pin 5 is clock line.
Preferably, the central processing unit is electrically connected with key by key module.
Preferably, the processing method of the central processing unit is as follows:
1) the image surface archives of face are initially set up；With the image surface file of the face of video camera acquisition units personnel or take theirs
Photo forms image surface file, and these image surface file generated face lines (Faceprint) coding is stored up；
2) current human body image surface is obtained；The image surface of the current discrepancy personnel of cameras capture is used, or takes photo to input, and will
Current image surface file generated face line coding；
3) with the comparison of current face line coding and archives inventory；In the face line coding of image surface that will be current and archives inventory
Line coding in face carries out retrieval comparison；Above-mentioned " face line coding " mode is substantive characteristics and beginning according to face face come work
's.
Preferably, the central processing unit has the following characteristics that accurate proprietary face recognition algorithms
False acceptance rate, FAR≤5%；
False rejection rate, FRR≤2%；
Discrimination >=98%；
When being used together with password, discrimination=100%；
Recognition speed < 0.25s(@checks that distance=1.0m ,@1000 register user)；
Light joint development.
Compared with prior art, the beneficial effects of the present invention are:
Which which staff this programme can recorde in and which platform machine used by installing FMI in production machine time
Device；When problem occurs, this provides trackability for every machine；It can recorde the unwarranted work for attempting to touch PC machine
Make personnel, can be to avoid unwarranted worker's illegal operation, and maintenance cost is reduced about 30%.
Detailed description of the invention
Fig. 1 is system block diagram of the invention；
Fig. 2 is the circuit diagram of central processing unit of the invention；
Fig. 3 is the circuit diagram of voltage detecting circuit of the invention；
Fig. 4 is the circuit diagram of radio transmitting and receiving chip of the invention；
Fig. 5 is the circuit diagram of display screen of the invention；
Fig. 6 is the circuit diagram of memory module of the invention；
Fig. 7 is the circuit diagram of power supply of the invention；
Fig. 8 is the circuit diagram of key circuit of the invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
The present invention provides a kind of technical solution as shown in figures 1-8, a kind of production line face intelligent identifying system, including
Central processing unit, power module and video camera, the input terminal of the central processing unit are defeated by A/D conversion module and video camera
Outlet is electrically connected, and the central processing unit is electrically connected with the USB interface with PC machine electrical property, and the central processing unit electrically connects
It is connected to display screen, the central processing unit is electrically connected with memory module, and the central processing unit is believed by radio transmitting and receiving chip
It number is connected with monitor terminal, the power module is the power supply of each electric elements.
Further, the central processing unit is T89C51 single-chip microcontroller, and AT89C51 mcu programming has BP neural network calculation
Method, Data fusion technique are the new technologies that developed recently gets up, and neural network is applied as a kind of data fusion method
In multiple fields, neural network have conclude, summarize, extracting, memory, association and fault-tolerance, it relies on the complexity of system,
By adjusting relationship interconnected between internal great deal of nodes, to achieve the purpose that handle information, in application process, lead to
It crosses and trains, obtain related knowledge and information, measured data is compared with this information, carry out data fusion, edge calculations.
Further, the central processing unit is electrically connected by voltage detecting circuit and power module, voltage detecting electricity
Road is that LMP7300 constitutes micro energy lose precision battery low-voltage detection circuit, LMP7300 be micropower, accurate benchmark and it is adjustable late
Stagnant comparator, reference voltage 2.048V, reference voltage precision are 0.25%, and supply voltage range is 2.7-12V.
Further, the radio transmitting and receiving chip is TC35i-GSM, is the highly integrated GSM mould of double frequency 900/1800MHz
Block.
Further, the display screen uses LM016L Liquid Crystal Module, internal to have controller, have the function of simply and
The functions such as character blinking, movement may be implemented in stronger instruction set, can be used 8 with single chip communication or 4 parallel-by-bits are transmitted
2 kinds of modes, LM016I liquid-crystal data line DO~D7 are connect with P1.0~1.7 mouthful of single-chip computer AT89C52 respectively, control line RS,
RW, RE and the port single-chip microcontroller P2.5, P2.6, P2.7 connect.
Further, memory module selects SPI mode, and the pin 1 of single-chip microcontroller is SPI route selection, and pin 2 is spi bus
Data In-Line, pin 7 are DOL Data Output Line, and pin 5 is clock line.
Further, the central processing unit is electrically connected with key by key module.
This programme, processing method are as follows:
1) the image surface archives of face are initially set up；With the image surface file of the face of video camera acquisition units personnel or take theirs
Photo forms image surface file, and these image surface file generated face lines (Faceprint) coding is stored up；
2) current human body image surface is obtained；The image surface of the current discrepancy personnel of cameras capture is used, or takes photo to input, and will
Current image surface file generated face line coding；
3) with the comparison of current face line coding and archives inventory；In the face line coding of image surface that will be current and archives inventory
Line coding in face carries out retrieval comparison；Above-mentioned " face line coding " mode is substantive characteristics and beginning according to face face come work
's.
This programme has the following characteristics that accurate proprietary face recognition algorithms
False acceptance rate, FAR≤5%；
False rejection rate, FRR≤2%；
Discrimination >=98%；
When being used together with password, discrimination=100%；
Recognition speed < 0.25s(@checks that distance=1.0m ,@1000 register user)；
Light joint development.
Working principle: this system is mounted on the installation at the top of PC display
SMT machine, Placement, SPI, Reflow oven, Printing and AOI are operated using PC.This system is pacified
On their display
According to the height of display, FMI camera angle is adjusted.It can be always towards the operator before PC machine in this way
For data communication, FMI is by USB and PC machine " call " to realize following functions:
Transmission video signal
Control command is received from the end PC
PC is sent by signal face identification state
USB cable only need to be connected to any PC USB port from FMI by us
Software implementation:
In terms of PC, we have developed a management application programs
It is linked up with FMI
Show FMI stream video signal
PC machine is locked to prevent unwarranted staff
PC machine is unlocked for authorization worker
The time that record authorization worker logs in/exits
This application program will not influence existing production routine by well-designed
(3) the key technical indexes and economic indicator
1, the key technical indexes
(1) quick recognition speed was less than 0.5 second
(2) accuracy rate is higher than 98%
(3) with the flexible interface of computer and equipment, including the port USB, UART Com
(4) power consumption is lower than 300 mA 5V
2, the expected economic indicator being up to
By installing FMI in production machine, can recorde which staff in which time and any platform machine used.Work as problem
When appearance, this provides trackability for every machine；
FMI can also record the unwarranted staff for attempting to touch PC machine.
Can be to avoid unwarranted worker's illegal operation, and maintenance cost is reduced about 30%.
In addition, face recognition product can be widely applied to various applications.Access control, equipment operation certification, affairs
Authorization, personalized service only give some instances.These application programs represent a very important market scale and business
Potentiality.
Finally, it should be noted that the foregoing is only a preferred embodiment of the present invention, it is not intended to restrict the invention,
Although the present invention is described in detail referring to the foregoing embodiments, for those skilled in the art, still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features,
All within the spirits and principles of the present invention, any modification, equivalent replacement, improvement and so on should be included in of the invention
Within protection scope.
Claims (9)
1. a kind of production line face intelligent identifying system, including central processing unit, power module and video camera, it is characterised in that:
The input terminal of the central processing unit is electrically connected by the output end of A/D conversion module and video camera, the central processing unit
It is electrically connected with the USB interface with PC machine electrical property, the central processing unit is electrically connected with display screen, the central processing unit electricity
Property is connected with memory module, and the central processing unit is connected with monitor terminal, the power supply mould by radio transmitting and receiving chip signal
Block is the power supply of each electric elements.
2. a kind of production line face intelligent identifying system according to claim 1, it is characterised in that: the central processing unit
For T89C51 single-chip microcontroller, AT89C51 mcu programming has BP neural network algorithm, and Data fusion technique is developed recently
One new technology, neural network are used in multiple fields as a kind of data fusion method, and neural network, which has, to be concluded, is total
Knot, extraction, memory, association and fault-tolerance, it relies on the complexity of system, mutually interconnects by adjusting between internal great deal of nodes
The relationship connect, thus achieve the purpose that handling information by training, obtains related knowledge and information in application process, it will
Measured data is compared with this information, carries out data fusion, edge calculations.
3. a kind of production line face intelligent identifying system according to claim 1, it is characterised in that: the central processing unit
It is electrically connected by voltage detecting circuit and power module, voltage detecting circuit is that LMP7300 composition micro energy lose precision battery is low
Voltage detecting circuit, LMP7300 are the comparator of micropower, accurate benchmark and adjustable sluggishness, reference voltage 2.048V, benchmark
Voltage accuracy is 0.25%, and supply voltage range is 2.7-12V.
4. a kind of production line face intelligent identifying system according to claim 1, it is characterised in that: the wireless receiving and dispatching core
Piece is TC35i-GSM, is the highly integrated gsm module of double frequency 900/1800MHz.
5. a kind of production line face intelligent identifying system according to claim 1, it is characterised in that: the display screen uses
LM016L Liquid Crystal Module, it is internal to have controller, have the function of simply and stronger instruction set, may be implemented character blinking,
The functions such as mobile can be used 8 with single chip communication or 4 parallel-by-bits transmit 2 kinds of modes, LM016I liquid-crystal data line DO~D7
It is connect respectively with P1.0~1.7 mouthful of single-chip computer AT89C52, control line RS, RW, RE and the port single-chip microcontroller P2.5, P2.6, P2.7
Connection.
6. a kind of production line face intelligent identifying system according to claim 1, it is characterised in that: memory module is selected
SPI mode, the pin 1 of single-chip microcontroller are SPI route selection, and pin 2 is the Data In-Line of spi bus, and pin 7 is DOL Data Output Line,
Pin 5 is clock line.
7. a kind of production line face intelligent identifying system according to claim 1, it is characterised in that: the central processing unit
Key is electrically connected with by key module.
8. a kind of production line face intelligent identifying system according to claim 1, it is characterised in that: the central processing unit
Processing method it is as follows:
1) the image surface archives of face are initially set up；With the image surface file of the face of video camera acquisition units personnel or take theirs
Photo forms image surface file, and these image surface file generated face lines (Faceprint) coding is stored up；
2) current human body image surface is obtained；The image surface of the current discrepancy personnel of cameras capture is used, or takes photo to input, and will
Current image surface file generated face line coding；
3) with the comparison of current face line coding and archives inventory；In the face line coding of image surface that will be current and archives inventory
Line coding in face carries out retrieval comparison；Above-mentioned " face line coding " mode is substantive characteristics and beginning according to face face come work
's.
9. a kind of production line face intelligent identifying system according to claim 1, it is characterised in that: the central processing unit
Have the following characteristics that accurate proprietary face recognition algorithms
False acceptance rate, FAR≤5%；
False rejection rate, FRR≤2%；
Discrimination >=98%；
When being used together with password, discrimination=100%；
Recognition speed < 0.25s(@checks that distance=1.0m ,@1000 register user)；
Light joint development.
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| CN201910437784.7A CN110287794A (en) | 2019-05-24 | 2019-05-24 | A kind of production line face intelligent identifying system |
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| CN201910437784.7A CN110287794A (en) | 2019-05-24 | 2019-05-24 | A kind of production line face intelligent identifying system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113158931A (en) * | 2021-04-27 | 2021-07-23 | 河南能创电子科技有限公司 | Low-voltage centralized reading, operation and maintenance implementation method based on AI intelligent face recognition technology |
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