CN111640214A - Face recognition system - Google Patents

Face recognition system Download PDF

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Publication number
CN111640214A
CN111640214A CN202010457061.6A CN202010457061A CN111640214A CN 111640214 A CN111640214 A CN 111640214A CN 202010457061 A CN202010457061 A CN 202010457061A CN 111640214 A CN111640214 A CN 111640214A
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CN
China
Prior art keywords
outer shell
interface
camera
face
display screen
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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
Application number
CN202010457061.6A
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Chinese (zh)
Inventor
黄仓生
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Heyuan Lixing Electronic Co ltd
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Heyuan Lixing Electronic Co ltd
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Priority to CN202010457061.6A priority Critical patent/CN111640214A/en
Publication of CN111640214A publication Critical patent/CN111640214A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME 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
    • G07C1/00Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
    • G07C1/10Registering, 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161Detection; Localisation; Normalisation
    • G06V40/166Detection; Localisation; Normalisation using acquisition arrangements
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/40Spoof detection, e.g. liveness detection
    • G06V40/45Detection of the body part being alive

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Human Computer Interaction (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a face recognition system, belonging to the technical field of attendance checking, comprising a camera and a display screen, the camera and the display screen are both arranged on the outer shell, the camera is embedded in the middle of the upper side of the front wall of the outer shell, the display screen is embedded in the middle lower side of the front wall of the outer shell, the left side and the right side of the upper side of the front wall of the outer shell are both provided with a loudspeaker, the rear wall of the outer shell is provided with an installation shell, the middle part of the installation shell is provided with a threading hole, a connector is arranged in the threading hole, the interface extends to the outside of the threading hole, the output end of the camera passes through the data line and the AI processing chip, and passes through the face recognition system, the system can monitor the entrance and exit of the rural workers in real time by a building department, also enhances the monitoring of the building site for the building department, and effectively solves the wage problem of the rural workers and the attendance of the workers by a government department for managing the building businessmen. Real-name system registration, rapid entry into the building site, supervision worker safety. And the building department can master the real-time situation of the construction site in time.

Description

Face recognition system
Technical Field
The invention relates to the technical field of attendance checking, in particular to a face recognition system.
Background
Attendance checking, as the name implies, refers to checking attendance, that is, obtaining attendance of students, employees or certain groups and individuals in a certain place and in a certain time period in a certain way, including attendance, late arrival, early departure, sick and fake, wedding and fake, mourning and fake, official break, working time, overtime and the like. The overall planning, arrangement and the like of the later stages are carried out through the research on the attendance conditions in the former stage and the present stage.
Traditional business turn over building site of punching the card often falls the card, can't let the building supervision, and the registration of unable real name system does not have the guarantee to the agronomy wage.
Disclosure of Invention
The invention aims to provide a face recognition system to solve the problems that the traditional card swiping in and out of a building site, which is provided by the background technology, often causes card falling, can not allow building supervision, can not register in a real-name system, and has no guarantee on the wages of agricultural workers.
In order to achieve the purpose, the invention provides the following technical scheme: a face recognition system comprises a camera and a display screen, wherein the camera and the display screen are both installed on an outer shell, the camera is embedded in the middle of the upper side of the front wall of the outer shell, the display screen is embedded in the lower side of the front wall of the outer shell, speakers are arranged on the left side and the right side of the upper side of the front wall of the outer shell, an installation shell is arranged on the rear wall of the outer shell, a threading hole is formed in the middle of the installation shell, an interface is arranged in the threading hole and extends to the outside of the threading hole, the output end of the camera is connected with an AI processing chip through data lines, the output end of the AI processing chip is respectively connected with the display screen and the speakers through data lines, and the AI processing chip is connected with the interface through;
the AI processing chip is internally provided with an identification and comparison system which integrates a monocular living body detection module, a safety helmet detection function module, a breakpoint continuous transmission function module, a stranger prompt module, a visitor management module and an attendance function module;
the monocular in-vivo detection module can perform in-vivo detection, and false identification of pictures and the like is avoided;
the safety helmet detection function module does not allow the identified person to pass if the person does not carry a safety helmet;
the breakpoint continuous transmission function module is used for storing personnel access data in the AI processing chip when the network fails, and automatically uploading the data to the management background when the network recovers;
the stranger prompting module is used for recognizing that more than three times of strangers are detected, and then warning sound is given out;
the visitor management module is used for rapidly registering visitor information and recording access data;
the identification and comparison system can be connected with a national labor real-name system platform and supports the expansion of an LED and a television;
the identification and comparison system adopts a plurality of verification modes: face, testimony of a witness unification, the mode such as punching the card, punching the ID card, face or testimony of a witness unification, face or punching the card, face or ID card, face + punching the card.
Preferably, the interface comprises a network interface, a switching value output interface, a 485 signal interface, a wiegand output interface, a USB interface, a second-generation ID card reader interface and a power supply interface.
Preferably, the network interface is an RJ 4510M/100M adaptive ethernet port.
Preferably, the height, the width and the thickness of the outer shell are respectively 250mm, 145mm and 35 mm.
Preferably, the image acquisition range of the camera is 0.5-3m, and the acquisition range of the camera is adjustable.
Preferably, the outer casing includes a middle frame, and a glass panel and a rear cover plate connected to front and rear sides of the middle frame.
Compared with the prior art, the invention has the beneficial effects that:
through the face recognition system, the building department can monitor the entrance and exit of the rural workers in real time, the monitoring of the building site is enhanced for the building department, and the government department manages the builders, so that the wage problem of the rural workers and the attendance of the workers are effectively solved. Real-name system registration, rapid entry into the building site, supervision worker safety. And the building department can master the real-time situation of the construction site in time.
Drawings
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is a rear view of the present invention;
FIG. 3 is a left side view of the present invention;
FIG. 4 is a logic block diagram of the system of the present invention.
In the figure: the device comprises an outer shell 1, an intermediate frame 11, a glass panel 12, a rear cover plate 13, a display screen 2, a loudspeaker 3, a camera 4, an installation shell 5, a threading hole 6, an interface 7 and an AI 8 processing chip.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
Example (b):
referring to fig. 1-4, the present invention provides a technical solution: a face recognition system comprises a camera 4 and a display screen 2, wherein the camera 4 and the display screen 2 are both installed on an outer shell 1, the camera 4 is embedded in the middle of the upper side of the front wall of the outer shell 1, the display screen 2 is embedded in the lower side of the front wall of the outer shell 1, speakers 3 are arranged on the left side and the right side of the upper side of the front wall of the outer shell 1, an installation shell 5 is arranged on the rear wall of the outer shell 1, a threading hole 6 is formed in the middle of the installation shell 5, an interface 7 is arranged in the threading hole 6, the interface 7 extends to the outside of the threading hole 6, the output end of the camera 4 is connected with an AI processing chip 8 through a data line, the output end of the AI processing chip 8 is respectively connected with the display screen 2 and the speakers 3 through the data line, and the AI processing chip 8 is connected with the;
the AI processing chip 8 adopts an industrial AI chip of Haisia huashanensis, an embedded system, and is cold-resistant and heat-resistant;
by adopting the face detection technology based on the improved multitask cascade convolution neural network, the requirements on the picture quality are reduced, the face detection speed is greatly improved, a high-performance processor is carried by the latest processor, the performance is improved by 5-10 times, and the super-strong computing capability is brought to complicated mathematics and geometric computation.
The camera 4 adopts 200 ten thousand pixels, high-definition wide dynamic camera, supports face identification under the complicated light environment, environment such as backlight, full black, support 1: 1 witness comparison, 1: n, face recognition is carried out, the face real-time snapshot is supported, the snapshot photos are stored in real time and uploaded to a background, the face snapshot and comparison functions are completed by the integrated machine, and the face recognition speed is less than or equal to 1 second;
a professional white-light high-color-rendering LED face light source is arranged in the camera 4, so that the light on the face of the human face is effectively ensured to be uniform;
the loudspeaker 3 has a humanized voice prompt function, broadcasts a comparison verification result, and can modify voice;
the glass panel 12 made of the front toughened glass is thick and textured;
a distance control mode is adopted, and the snapshot distance is controllable within 0.5-3 m;
the external reading head and the identity card reader are supported, and not only the face is brushed;
the human-card integrated function is used for reading identity card information and matching the field human face in real time;
the product supports the output of switching value signals and can be in seamless butt joint with a gate and a magnetic lock;
the output of 485 and Wiegand signals is supported, the seamless connection with various access controllers is realized, and the WG26 and the WG34 are supported;
the display screen 2 is a 7-inch high-definition LED display screen with the resolution of 1024 x 600;
a personnel attendance management function; managing a black list/a white list, and setting the access direction in a self-defined way;
the building site real-name management function supports the expansion of the number of departments in the building site, such as an LED screen, a television and the like;
the visitor management function can set visitor permission according to time and access times, and can expand WeChat and APP mobile terminals;
the support center uniformly configures parameters of the all-in-one machine and provides a security authentication mode;
the method for importing the face template is flexible, and single-sheet and batch picture file import and real-time snapshot import are supported;
the system can run off-line in the off-line mode without depending on computer control.
The AI processing chip 8 is internally provided with an identification and comparison system which integrates a monocular living body detection module, a safety helmet detection function module, a breakpoint continuous transmission function module, a stranger prompt module, a visitor management module and an attendance function module;
the monocular in-vivo detection module can perform in-vivo detection, and false identification of pictures and the like is avoided;
the safety helmet detection function module does not allow the identified person to pass if the person does not carry a safety helmet;
the breakpoint continuous transmission function module is used for storing personnel access data in the AI processing chip 8 when a network fault occurs, and automatically uploading the data to the management background when the network is recovered;
the stranger prompting module is used for recognizing that more than three times of strangers are detected, and then warning sound is given out;
the visitor management module is used for rapidly registering visitor information and recording access data;
the identification and comparison system can be connected with a national labor real-name system platform and supports the expansion of an LED and a television;
the identification and comparison system adopts a plurality of verification modes: face, testimony of a witness unification, the mode such as punching the card, punching the ID card, face or testimony of a witness unification, face or punching the card, face or ID card, face + punching the card.
Further, the interface 7 includes a network interface, a switching value output interface, a 485 signal interface, a wiegand output interface, a USB interface, a second-generation id card reader interface, and a power supply interface.
Further, the network interface is an RJ 4510M/100M adaptive Ethernet port.
Further, the height, width and thickness of the outer shell 1 are respectively 250mm, 145mm and 35 mm.
Further, the image acquisition range of the camera 4 is 0.5-3m, and the acquisition range of the camera 4 is adjustable.
Further, the outer case 1 includes a middle frame 11, and a glass panel 12 and a rear cover 13 connected to both front and rear sides of the middle frame 11.
While there have been shown and described the fundamental principles and essential features of the invention and advantages thereof, it will be apparent to those skilled in the art that the invention is not limited to the details of the foregoing exemplary embodiments, but is capable of other specific forms without departing from the spirit or essential characteristics thereof; the present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein, and any reference signs in the claims are not intended to be construed as limiting the claim concerned.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (6)

1. The utility model provides a face identification system, includes camera (4), display screen (2), its characterized in that: the camera (4) and the display screen (2) are both arranged on the outer shell (1), the camera (4) is embedded in the middle of the upper side of the front wall of the outer shell (1), the display screen (2) is embedded in the middle lower side of the front wall of the outer shell (1), the left side and the right side of the upper side of the front wall of the outer shell (1) are both provided with a loudspeaker (3), the rear wall of the outer shell (1) is provided with an installation shell (5), the middle part of the installation shell (5) is provided with a threading hole (6), an interface (7) is arranged in the threading hole (6), the interface (7) extends to the outside of the threading hole (6), the output end of the camera (4) is connected with an AI processing chip (8) through a data line, the output end of the AI processing chip (8) is respectively connected with the display screen (2) and the loudspeaker (3) through data lines, the AI processing chip (8) is connected with the interface (7) through a lead;
the AI processing chip (8) is internally provided with an identification and comparison system which integrates a monocular living body detection module, a safety helmet detection function module, a breakpoint continuous transmission function module, a stranger prompt module, a visitor management module and an attendance function module;
the monocular in-vivo detection module can perform in-vivo detection, and false identification of pictures and the like is avoided;
the safety helmet detection function module does not allow the identified person to pass if the person does not carry a safety helmet;
the breakpoint continuous transmission function module is used for storing personnel access data in an AI processing chip (8) when a network fails, and automatically uploading the data to a management background when the network is recovered;
the stranger prompting module is used for recognizing that more than three times of strangers are detected, and then warning sound is given out;
the visitor management module is used for rapidly registering visitor information and recording access data;
the identification and comparison system can be connected with a national labor real-name system platform and supports the expansion of an LED and a television;
the identification and comparison system adopts a plurality of verification modes: face, testimony of a witness unification, the mode such as punching the card, punching the ID card, face or testimony of a witness unification, face or punching the card, face or ID card, face + punching the card.
2. A face recognition system according to claim 1, wherein: the interface (7) comprises a network interface, a switching value output interface, a 485 signal interface, a Wiegand output interface, a USB interface, a second-generation ID card reader interface and a power supply interface.
3. A face recognition system according to claim 2, wherein: the network interface is an RJ 4510M/100M adaptive Ethernet port.
4. A face recognition system according to claim 1, wherein: the height, the width and the thickness of the outer shell (1) are respectively 250mm, 145mm and 35 mm.
5. A face recognition system according to claim 1, wherein: the image acquisition range of the camera (4) is 0.5-3m, and the acquisition range of the camera (4) is adjustable.
6. A face recognition system according to claim 1, wherein: the outer shell (1) comprises a middle frame body (11), and a glass panel (12) and a rear cover plate (13) which are connected to the front side and the rear side of the middle frame body (11).
CN202010457061.6A 2020-05-26 2020-05-26 Face recognition system Pending CN111640214A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010457061.6A CN111640214A (en) 2020-05-26 2020-05-26 Face recognition system

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Application Number Priority Date Filing Date Title
CN202010457061.6A CN111640214A (en) 2020-05-26 2020-05-26 Face recognition system

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115798096A (en) * 2022-12-09 2023-03-14 中南水务工程有限公司 Multifunctional testimony verification method and system

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106682647A (en) * 2017-01-20 2017-05-17 上海易销科技股份有限公司 Human and identity authentication integrated system and method based on face recognition
CN110414400A (en) * 2019-07-22 2019-11-05 中国电建集团成都勘测设计研究院有限公司 A kind of construction site safety cap wearing automatic testing method and system
CN110751741A (en) * 2019-10-17 2020-02-04 杭州雷视信息技术有限公司 Real-name system management system for civil workers in construction site
US20200065559A1 (en) * 2018-08-22 2020-02-27 Nitin Vats Generating a video using a video and user image or video
CN111191581A (en) * 2019-12-27 2020-05-22 深圳供电局有限公司 Safety helmet detection method and device based on electric power construction and computer equipment

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106682647A (en) * 2017-01-20 2017-05-17 上海易销科技股份有限公司 Human and identity authentication integrated system and method based on face recognition
US20200065559A1 (en) * 2018-08-22 2020-02-27 Nitin Vats Generating a video using a video and user image or video
CN110414400A (en) * 2019-07-22 2019-11-05 中国电建集团成都勘测设计研究院有限公司 A kind of construction site safety cap wearing automatic testing method and system
CN110751741A (en) * 2019-10-17 2020-02-04 杭州雷视信息技术有限公司 Real-name system management system for civil workers in construction site
CN111191581A (en) * 2019-12-27 2020-05-22 深圳供电局有限公司 Safety helmet detection method and device based on electric power construction and computer equipment

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115798096A (en) * 2022-12-09 2023-03-14 中南水务工程有限公司 Multifunctional testimony verification method and system

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Application publication date: 20200908

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