CN116557733A - Face recognition system and screening method based on big data - Google Patents
Face recognition system and screening method based on big data Download PDFInfo
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- CN116557733A CN116557733A CN202310403353.5A CN202310403353A CN116557733A CN 116557733 A CN116557733 A CN 116557733A CN 202310403353 A CN202310403353 A CN 202310403353A CN 116557733 A CN116557733 A CN 116557733A
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- big data
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- attendance
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- 238000000034 method Methods 0.000 title claims abstract description 19
- 238000012216 screening Methods 0.000 title claims abstract description 16
- 238000009434 installation Methods 0.000 claims abstract description 20
- 230000007246 mechanism Effects 0.000 claims abstract description 17
- 238000004080 punching Methods 0.000 claims abstract description 15
- 230000004224 protection Effects 0.000 claims description 16
- 230000001681 protective effect Effects 0.000 claims description 16
- 230000008878 coupling Effects 0.000 claims description 6
- 238000010168 coupling process Methods 0.000 claims description 6
- 238000005859 coupling reaction Methods 0.000 claims description 6
- 230000005540 biological transmission Effects 0.000 claims description 2
- 230000005389 magnetism Effects 0.000 claims description 2
- 230000008859 change Effects 0.000 abstract description 2
- 230000008569 process Effects 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000000428 dust Substances 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000009979 protective mechanism Effects 0.000 description 1
Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
- F16M—FRAMES, CASINGS OR BEDS OF ENGINES, MACHINES OR APPARATUS, NOT SPECIFIC TO ENGINES, MACHINES OR APPARATUS PROVIDED FOR ELSEWHERE; STANDS; SUPPORTS
- F16M13/00—Other supports for positioning apparatus or articles; Means for steadying hand-held apparatus or articles
- F16M13/02—Other supports for positioning apparatus or articles; Means for steadying hand-held apparatus or articles for supporting on, or attaching to, an object, e.g. tree, gate, window-frame, cycle
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
- F16M—FRAMES, CASINGS OR BEDS OF ENGINES, MACHINES OR APPARATUS, NOT SPECIFIC TO ENGINES, MACHINES OR APPARATUS PROVIDED FOR ELSEWHERE; STANDS; SUPPORTS
- F16M11/00—Stands or trestles as supports for apparatus or articles placed thereon ; Stands for scientific apparatus such as gravitational force meters
- F16M11/02—Heads
- F16M11/04—Means for attachment of apparatus; Means allowing adjustment of the apparatus relatively to the stand
- F16M11/043—Allowing translations
- F16M11/046—Allowing translations adapted to upward-downward translation movement
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
- F16M—FRAMES, CASINGS OR BEDS OF ENGINES, MACHINES OR APPARATUS, NOT SPECIFIC TO ENGINES, MACHINES OR APPARATUS PROVIDED FOR ELSEWHERE; STANDS; SUPPORTS
- F16M11/00—Stands or trestles as supports for apparatus or articles placed thereon ; Stands for scientific apparatus such as gravitational force meters
- F16M11/02—Heads
- F16M11/18—Heads with mechanism for moving the apparatus relatively to the stand
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05K—PRINTED CIRCUITS; CASINGS OR CONSTRUCTIONAL DETAILS OF ELECTRIC APPARATUS; MANUFACTURE OF ASSEMBLAGES OF ELECTRICAL COMPONENTS
- H05K5/00—Casings, cabinets or drawers for electric apparatus
- H05K5/02—Details
- H05K5/03—Covers
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
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- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Microelectronics & Electronic Packaging (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a face recognition system and a screening method based on big data, and relates to the field of face recognition. The device includes the attendance machine and sets up the binocular camera that is used for face identification and the display screen that is used for the face to show in attendance machine department, and the back of attendance machine is provided with the adjustment mechanism that is used for its installation at the wall and can carry out position adjustment after the installation. This face identification system and screening method based on big data through setting up the mount pad in one side of attendance machine, the mount pad can be fixed to be set up in wall department, when the setting position of attendance machine is too high or when too low, can directly rotate the threaded rod that the mount pad department set up, drives the connecting block that attendance machine one side set up and reciprocates along the threaded rod, and then can adjust the change to the setting position of attendance machine, need not be through the installation of steps such as re-punching, the simple operation, the practicality is better.
Description
Technical Field
The invention relates to the technical field of face recognition, in particular to a face recognition system and a screening method based on big data.
Background
The existing company entrance can be provided with an attendance machine, and the attendance machine performs card punching through a face recognition mode, namely company management staff collects face images of staff in advance and files the face images at a recognition module inside the attendance machine, when the staff stands at a recognition area of the attendance machine, a binocular camera at the attendance machine can recognize face images of the staff, and the staff can be automatically saved after successful recognition.
At present, the attendance machine is directly fixed on a wall through a mounting assembly, so that when errors occur in the set positions of the attendance machine, the attendance machine cannot be conveniently adjusted and corrected, and in addition, the attendance machine arranged on the wall is easy to damage under the collision of foreign objects, so that the normal face recognition card punching operation of the attendance machine is influenced, and the normal card punching of staff is influenced.
The main reason for the problem is that when the attendance machine is installed on a wall, a worker can punch holes in the wall through measured data, then the worker installs the attendance machine on the wall through an installation component, but the predicted height may deviate from the height required in practical application, so that the problem that the setting position of the attendance machine is too high or too low exists, and the position of the attendance machine installed in a punching mode cannot be adjusted at will, so that the worker is required to reinstall in the later period, the operation is complex, and the practicability is poor;
in addition, the attendance machine at the entrance wall of the company is in a completely exposed state, when staff walks nearby, the attendance machine is inevitably collided with the attendance machine, and the attendance machine is easily damaged for a long time, so that normal face recognition card punching operation cannot be performed, and aiming at the situation, the face recognition system and the screening method based on big data are provided.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the invention discloses a face recognition system and a screening method based on big data, which are used for solving the problems that the attendance machine provided in the background art is directly fixed at a wall through a mounting component, so that when the setting position of the attendance machine is wrong, the attendance machine cannot be conveniently adjusted and corrected, and in addition, the attendance machine arranged at the wall is easy to damage under the collision of foreign objects, thereby influencing the normal face recognition and card punching operation of the attendance machine.
(II) technical scheme
In order to achieve the above purpose, the invention is realized by the following technical scheme: a face recognition system and a screening method based on big data comprise the following steps:
the device comprises an attendance machine, a binocular camera arranged at the attendance machine and used for face recognition and a display screen used for face display;
the back of attendance machine is provided with the adjustment mechanism that is used for its installation at the wall and can carry out position control after the installation, adjustment mechanism includes mount pad, threaded rod and connecting block, the mount pad sets up in wall department, mount pad department rotates and is provided with two sets of threaded rods, the back of attendance machine is provided with the connecting block, the connecting block screw thread cup joints the surface at two sets of threaded rods.
Preferably, the connecting groove has been seted up to one side of mount pad, two sets of the threaded rod rotates and sets up in the connecting groove department, the inside at the connecting groove is spacing to slide to the connecting block, a set of the threaded rod extends to the one end of mount pad lower part and is provided with the handle.
Preferably, the upper surface of connecting block has offered the screw hole that is used for its and threaded rod threaded connection, a set of threaded rod is close to the one end surface screw thread socket joint of handle and is used for its fixed fixing bolt.
Preferably, the limiting grooves are formed in the inner side walls of the connecting grooves, limiting plates are arranged on two sides of the connecting blocks, and the two limiting plates are respectively limited and slide in the limiting grooves.
Preferably, the inner top and the inner bottom of the connecting groove are respectively provided with a telescopic plate, and the other ends of the telescopic plates are respectively connected with the upper surface and the lower surface of the attendance machine and are used for shielding the exposed connecting groove at the mounting seat.
Preferably, the lower surface of mount pad is provided with coupling mechanism for extend to the one end of mount pad lower part to two sets of threaded rods and connect, coupling mechanism includes junction box, belt pulley and connection belt, the junction box sets up the lower surface at the mount pad, two sets of the threaded rods extend to the inside one end of junction box all is provided with the belt pulley, two sets of be provided with connection belt between the belt pulley, a set of the threaded rods are provided with handle and fixing bolt's one end is located the lower part of junction box.
Preferably, the protection machanism is installed to one side that the attendance machine was provided with binocular camera, protection machanism includes protective cover and lug, the protective cover rotates the setting in attendance machine department, the one end of protective cover is provided with the lug, the protective cover magnetism is inhaled in attendance machine department.
Preferably, a first magnetic ring is arranged on one side of the attendance machine, on which the binocular camera is arranged, a second magnetic ring is arranged on the inner surface of the protective cover, and magnetic attraction is carried out between the first magnetic ring and the second magnetic ring.
S1, a company manager realizes photographing and storing of face images of staff of the company through a binocular camera at the attendance machine, the stored data are collected by a data acquisition module in the attendance machine, and then the stored data are transmitted to a server of a centralized management terminal through the data acquisition module;
s2, when a company employee performs work attendance card punching, the face corresponds to the binocular camera of the attendance machine, so that the binocular camera recognizes the characteristics of the face, then the face is recognized and extracted, the extracted module information is compared with the face image information in the internal memory of the attendance machine, the card punching time of the employee can be automatically recorded after the comparison is correct, and the recorded data can be automatically transmitted to a server of the management terminal for backup through the transmission terminal;
s3, when the manager checks the attendance condition of the staff, the server of the management terminal can check the received card punching data of the staff from the attendance machine, so that the attendance condition of the staff can be clearly known.
The invention discloses a face recognition system and a screening method based on big data, which have the following beneficial effects:
1. this face identification system and screening method based on big data through setting up the mount pad in one side of attendance machine, the mount pad can be fixed to be set up in wall department, when the setting position of attendance machine is too high or when too low, can directly rotate the threaded rod that the mount pad department set up, drives the connecting block that attendance machine one side set up and reciprocates along the threaded rod, and then can adjust the change to the setting position of attendance machine, need not be through the installation of steps such as re-punching, the simple operation, the practicality is better.
2. According to the face recognition system and the screening method based on big data, the protection cover is arranged on one side of the attendance machine, provided with the binocular camera, so that the binocular camera and the display screen can be protected and shielded, damage caused by direct contact of an external object with the binocular camera or the display screen is avoided, the protection cover and the attendance machine are provided with the first magnetic ring and the second magnetic ring, and the connection stability between the protection cover and the attendance machine is improved through magnetic attraction between the protection cover and the attendance machine, so that the protection cover can effectively protect the attendance machine.
3. According to the face recognition system and the screening method based on big data, the handles arranged at one ends of the threaded rods are held to drive the threaded rods to rotate, and the connecting belts are arranged between the two threaded rods, so that the threaded rods of the other threaded rods without the handles rotate in the same direction, the attendance machine arranged on one side of the connecting block and the connecting block can stably move up and down along the outer surfaces of the threaded rods, the operation is convenient, the threaded rods do not need to be driven to rotate respectively, and convenience in the position adjustment process of the attendance machine is improved.
Drawings
FIG. 1 is a schematic diagram of the overall structure of the present invention;
FIG. 2 is a schematic view of the structure of the attendance machine and the binocular camera of the present invention;
FIG. 3 is a schematic view of the structure of the attendance machine and the mounting base of the present invention;
FIG. 4 is a schematic view of an attendance machine, a connecting block and a telescopic plate structure according to the present invention;
FIG. 5 is a cross-sectional view of the internal structure of the mounting base of the present invention;
FIG. 6 is an exploded view of the pulley and connecting belt construction of the present invention;
FIG. 7 is an enlarged view of the structure of FIG. 6A in accordance with the present invention;
fig. 8 is an enlarged view of the structure of fig. 2B according to the present invention.
In the figure: 1. an attendance machine; 101. a display screen; 102. binocular cameras; 2. an adjusting mechanism; 201. a mounting base; 202. a connecting groove; 203. a threaded rod; 204. a connecting block; 205. a threaded hole; 206. a limiting plate; 207. a limit groove; 208. a handle; 209. a fixing bolt; 3. a telescoping plate; 4. a connecting mechanism; 401. a connection box; 402. a belt pulley; 403. a connecting belt; 5. a protective mechanism; 501. a protective cover; 502. a bump; 503. a first magnetic ring; 504. and a second magnetic ring.
Detailed Description
The embodiment of the invention discloses a face recognition system and a screening method based on big data, as shown in fig. 1-8, in order to make the purposes, technical schemes and advantages of the embodiment of the invention more clear, the technical schemes of the embodiment of the invention are clearly and completely described below by means of the embodiment in combination with the drawings in the invention.
Embodiment 1,
As shown in fig. 1-8, a face recognition system and a screening method based on big data, an attendance machine 1, a binocular camera 102 for face recognition and a display screen 101 for face display, wherein the binocular camera 102 is arranged at the attendance machine 1;
the back of the attendance machine 1 is provided with an adjusting mechanism 2 which is used for being installed on a wall surface and can be used for adjusting the position after being installed, the adjusting mechanism 2 comprises an installation seat 201, a threaded rod 203 and a connecting block 204, the installation seat 201 is arranged at the wall, two groups of threaded rods 203 are rotatably arranged at the installation seat 201, the back of the attendance machine 1 is provided with the connecting block 204, and the connecting block 204 is in threaded sleeve joint with the outer surfaces of the two groups of threaded rods 203;
a connecting groove 202 is formed in one side of the mounting seat 201, two sets of threaded rods 203 are rotatably arranged at the connecting groove 202, a connecting block 204 is limited and slides in the connecting groove 202, and a handle 208 is arranged at one end, extending to the lower part of the mounting seat 201, of one set of threaded rods 203;
the upper surface of the connecting block 204 is provided with a threaded hole 205 for being in threaded connection with the threaded rod 203, and a fixing bolt 209 for fixing the threaded rod 203 is sleeved on the outer surface of one end of the group of threaded rods 203, which is close to the handle 208.
Working principle:
before the attendance machine 1 is used, the mounting seat 201 connected with the attendance machine 1 through the connecting block 204 is firstly arranged at a wall, namely, the mounting seat 201 is arranged at the wall through a fixing device such as a nut component, when the position of the attendance machine 1 arranged at the wall is lower, a group of handles 208 arranged at the bottom end of the threaded rod 203 can be held at first, the threaded rod 203 arranged at the mounting seat 201 is driven to rotate through the handles 208, then under the action of threaded connection, the connecting block 204 moves upwards along the connecting groove 202 arranged at the mounting seat 201, the connecting block 204 and the attendance machine 1 arranged at one side of the connecting block 204 move upwards, the placing height of the attendance machine 1 is further increased, after the adjustment is finished, the fixing bolt 209 arranged at one end of the threaded rod 203 is rotated, one side of the fixing bolt 209 abuts against one side of the connecting box 401 arranged at the lower surface of the mounting seat 201, and accordingly the threaded rod 203 is fixed, and the position of the attendance machine 1 is fixed.
When staff is doing work-in and card-punching, the face can be directly close to the binocular camera 102 at the attendance machine 1, so that the binocular camera 102 can conduct face recognition, and the staff can be automatically recorded after the recognition is successful.
Embodiment II,
As shown in fig. 1-8, a big data-based face recognition system and a screening method are disclosed, the inner side wall of a connecting slot 202 is provided with a limit slot 207, both sides of a connecting block 204 are provided with limit plates 206, two groups of limit plates 206 respectively slide in the inside of one group of limit slots 207 in a limit manner, stability and accuracy of the connecting block 204 in the moving process along an installation seat 201 can be increased through the arranged limit plates 206, the inner top and the inner bottom of the connecting slot 202 are respectively provided with a telescopic plate 3, the other ends of a plurality of groups of telescopic plates 3 are respectively connected with the upper surface and the lower surface of an attendance machine 1 for shielding the exposed connecting slot 202 at the installation seat 201,
the lower surface of mount pad 201 is provided with coupling mechanism 4 for extend to the one end of mount pad 201 lower part to two sets of threaded rods 203 and connect, coupling mechanism 4 includes junction box 401, belt pulley 402 and connecting belt 403, and junction box 401 sets up the lower surface at mount pad 201, and two sets of threaded rods 203 extend to the inside one end of junction box 401 and all are provided with belt pulley 402, are provided with connecting belt 403 between two sets of belt pulleys 402, can prescribe a limit to the position of connecting belt 403 through the belt pulley 402 that sets up, and one end that a set of threaded rods 203 is provided with handle 208 and fixing bolt 209 is located the lower part of junction box 401.
Working principle:
when the handle 208 arranged at one end of the set of threaded rods 203 is held to drive the set of threaded rods 203 to rotate, as the connecting belt 403 is arranged between the two sets of threaded rods 203, the other set of threaded rods 203 without the handle 208 rotate in the same way, so that the attendance machine 1 arranged at one side of the connecting block 204 and the connecting block 204 can stably move up and down along the outer surfaces of the two sets of threaded rods 203 to be adjusted, and the operation is convenient and fast, and the threaded rods 203 do not need to be driven to rotate respectively.
In addition, when the attendance machine 1 disposed on one side of the connection block 204 and the connection block 204 moves up and down along the installation seat 201, the expansion plate 3 disposed at the connection groove 202 of the attendance machine 1 and the installation seat 201 stretches or extends accordingly, so as to shield the connection groove 202 with part in an exposed state, i.e. to increase the aesthetic property, and also to avoid dust and the like entering the inside of the connection groove 202.
Third embodiment,
As shown in fig. 1-8, a protection mechanism 5 is installed on one side of an attendance machine 1 provided with a binocular camera 102, the protection mechanism 5 comprises a protection cover 501 and a bump 502, the protection cover 501 is rotatably arranged at the attendance machine 1, one end of the protection cover 501 is provided with the bump 502, the protection cover 501 is magnetically attracted at the attendance machine 1, a first magnetic ring 503 is arranged on one side of the attendance machine 1 provided with the binocular camera 102, a second magnetic ring 504 is arranged on the inner surface of the protection cover 501, and magnetic attraction is carried out between the first magnetic ring 503 and the second magnetic ring 504.
Working principle:
through set up protective cover 501 in the one side that work attendance machine 1 was provided with binocular camera 102 for it can protect binocular camera 102 and display screen 101 and shelter from, avoids outside things direct contact to collide binocular camera 102 or display screen 101 to cause its damage, and can hold the lug 502 of protective cover 501 one side, drives protective cover 501 and rotates, because the outside pulling force is greater than the magnetic attraction between protective cover 501 and the first magnetic ring 503 and the second magnetic ring 504 that work attendance machine 1 department set up this moment, makes protective cover 501 opened, and then makes equipment such as binocular camera 102 and display screen 101 of work attendance machine 1 department expose, so that carry out corresponding inspection or clearance to it.
The foregoing has shown and described the basic principles and main features of the present invention and the advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made without departing from the spirit and scope of the invention, which is defined in the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (9)
1. A big data based face recognition system, comprising:
the device comprises an attendance machine (1), a binocular camera (102) arranged at the attendance machine (1) and used for face recognition, and a display screen (101) used for face display;
the method is characterized in that: the utility model discloses an attendance machine, including attendance machine (1), including work attendance machine (1), work attendance machine (1)'s the back is provided with adjustment mechanism (2) that are used for its installation at the wall and can carry out position control after the installation, adjustment mechanism (2) are including mount pad (201), threaded rod (203) and connecting block (204), mount pad (201) set up in wall department, mount pad (201) department rotates and is provided with two sets of threaded rods (203), the back of attendance machine (1) is provided with connecting block (204), connecting block (204) screw thread cup joints the surface at two sets of threaded rods (203).
2. A big data based face recognition system according to claim 1, wherein: connecting groove (202) has been seted up to one side of mount pad (201), two sets of threaded rod (203) rotate and set up in connecting groove (202) department, inside at connecting groove (202) is spacing to slide to connecting block (204), a set of threaded rod (203) extend to one end of mount pad (201) lower part and are provided with handle (208).
3. A big data based face recognition system according to claim 2, wherein: the upper surface of connecting block (204) has offered and has been used for its threaded hole (205) with threaded rod (203) threaded connection, a set of threaded rod (203) are close to one end surface screw thread socket joint of handle (208) and are used for its fixed fixing bolt (209).
4. A big data based face recognition system according to claim 3, wherein: limiting grooves (207) are formed in the inner side walls of the connecting grooves (202), limiting plates (206) are arranged on two sides of the connecting blocks (204), and two groups of limiting plates (206) are respectively limited and slide in one group of limiting grooves (207).
5. The big data based face recognition system of claim 4, wherein: the utility model discloses a attendance machine, including connecting seat (201), connecting seat (201) department, connecting seat (202) and connecting plate, the interior top and the interior bottom of connecting groove (202) all are provided with expansion plate (3), multiunit the other end of expansion plate (3) is connected with upper surface and lower surface respectively, is used for sheltering from connecting groove (202) that the mount pad (201) department is naked.
6. The big data based face recognition system of claim 5, wherein: the utility model discloses a connecting device for the automobile, including installation seat (201), lower surface of installation seat (201) is provided with coupling mechanism (4) for extend to the one end of installation seat (201) lower part to two sets of threaded rods (203) and be connected, coupling mechanism (4) are including connecting box (401), belt pulley (402) and connecting belt (403), connecting box (401) set up the lower surface at installation seat (201), two sets of threaded rods (203) are extended to the inside one end of connecting box (401) and all are provided with belt pulley (402), two sets of be provided with connecting belt (403) between belt pulley (402), a set of threaded rods (203) are provided with handle (208) and fixing bolt (209) one end is located the lower part of connecting box (401).
7. The big data based face recognition system of claim 6, wherein: the utility model provides a attendance machine (1) is provided with protection machanism (5) in one side of binocular camera (102), protection machanism (5) are including protective cover (501) and lug (502), protective cover (501) rotate and set up in attendance machine (1) department, the one end of protective cover (501) is provided with lug (502), protective cover (501) magnetism is inhaled in attendance machine (1) department.
8. The big data based face recognition system of claim 7, wherein: one side of the attendance machine (1) provided with the binocular camera (102) is provided with a first magnetic ring (503), the inner surface of the protective cover (501) is provided with a second magnetic ring (504), and the first magnetic ring (503) and the second magnetic ring (504) are magnetically attracted.
9. A method for screening a big data based face recognition system according to any of claims 1-8, wherein:
s1, a company manager realizes photographing and storing of face images of company staff through a binocular camera (102) at the attendance machine (1), the stored data are collected by a data acquisition module in the attendance machine (1), and then the stored data are transmitted to a server of a centralized management terminal through the data acquisition module;
s2, when a company employee performs work attendance card punching, the face corresponds to a binocular camera (102) of the attendance machine (1), so that the binocular camera (102) recognizes the characteristics of the face, then the face is recognized and extracted, the extracted module information is compared with face image information in an internal memory of the attendance machine (1), the card punching time of the employee can be automatically recorded after the comparison is correct, and the recorded data can be automatically transmitted to a server of a management terminal through a transmission terminal for backup;
s3, when the manager checks the attendance condition of the staff, the server of the management terminal can check the received staff card punching data from the attendance machine (1), so that the attendance condition of the staff can be clearly known.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310403353.5A CN116557733A (en) | 2023-04-17 | 2023-04-17 | Face recognition system and screening method based on big data |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310403353.5A CN116557733A (en) | 2023-04-17 | 2023-04-17 | Face recognition system and screening method based on big data |
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| CN116557733A true CN116557733A (en) | 2023-08-08 |
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| CN202310403353.5A Pending CN116557733A (en) | 2023-04-17 | 2023-04-17 | Face recognition system and screening method based on big data |
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