CN112435407A - Face identification locker based on big data analysis - Google Patents
Face identification locker based on big data analysis Download PDFInfo
- Publication number
- CN112435407A CN112435407A CN202011241176.8A CN202011241176A CN112435407A CN 112435407 A CN112435407 A CN 112435407A CN 202011241176 A CN202011241176 A CN 202011241176A CN 112435407 A CN112435407 A CN 112435407A
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- CN
- China
- Prior art keywords
- storage cabinet
- big data
- data analysis
- face recognition
- fixedly connected
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F17/00—Coin-freed apparatus for hiring articles; Coin-freed facilities or services
- G07F17/10—Coin-freed apparatus for hiring articles; Coin-freed facilities or services for means for safe-keeping of property, left temporarily, e.g. by fastening the property
- G07F17/12—Coin-freed apparatus for hiring articles; Coin-freed facilities or services for means for safe-keeping of property, left temporarily, e.g. by fastening the property comprising lockable containers, e.g. for accepting clothes to be cleaned
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- 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
- G07C9/00—Individual registration on entry or exit
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00563—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys using personal physical data of the operator, e.g. finger prints, retinal images, voicepatterns
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Lock And Its Accessories (AREA)
Abstract
The invention relates to the technical field of intelligent storage cabinets, and discloses a human face recognition storage cabinet based on big data analysis, which comprises a storage cabinet body, storage lattices and a control panel, wherein a groove is formed in the surface of the front end of the storage cabinet body, blind holes are formed in the side walls of two ends of the groove, fixed rods are movably connected to the hole walls of the two blind holes, rotating gears are fixedly sleeved on the rod walls of the fixed rods, and tooth grooves of the rotating gears are movably connected with barrier strips. The camera angle of the face recognition storage cabinet based on big data analysis can be adjusted, the adjusting process is simple and convenient, a user can operate the face recognition storage cabinet based on big data analysis more conveniently, the storage lattices can automatically push out and store articles, the user can conveniently take the articles in the higher or lower storage lattices, time and labor are saved, and the convenience in use of the face recognition storage cabinet based on big data analysis is improved.
Description
Technical Field
The invention relates to the technical field of intelligent storage cabinets, in particular to a face recognition storage cabinet based on big data analysis.
Background
The big data analysis refers to analysis of data with huge scale, and is taken as a vocabulary of the IT industry which is the most hot at present, the utilization of commercial values of data warehouse, data security, data analysis, data mining and the like around big data gradually becomes a profit focus which is pursued by industrial people, the big data analysis also comes along with the coming of the big data era, meanwhile, with the rapid development of the face biotechnology, scenes applying face recognition in life are continuously increased, such as face brushing payment and face brushing station entering, the face becomes a specified secret key of scenes of people going out, paying and the like, and the people want to say another trend today, namely a locker, and the trend is gradually developed towards the face recognition locker based on the big data analysis.
The current face identification locker based on big data analysis has the unable condition of adjusting of camera angle, need squat down or stand on tiptoe just can make oneself face just to the camera when the higher and lower user of height uses, thereby there is stronger uncomfortable sense, and then the convenience of face identification locker operation based on big data analysis has been influenced, and when the user need take back deposit in the article of higher or lower storage lattice depth department, because the restriction of height, the user is difficult directly to take the article of depositing, thereby the convenience of face identification locker use based on big data analysis has been influenced.
Disclosure of Invention
The invention aims to solve the problems that in the prior art, a face recognition storage cabinet based on big data analysis has the condition that the angle of a camera cannot be adjusted, the operation convenience of the face recognition storage cabinet based on big data analysis is influenced due to strong discomfort when a user with a higher height and a user with a lower height uses the face recognition storage cabinet, and the use convenience of the face recognition storage cabinet based on big data analysis is influenced due to the fact that the user is difficult to directly take stored articles due to height limitation when the user needs to take the articles stored in the deep storage grid of the higher or lower position.
In order to achieve the purpose, the invention adopts the following technical scheme:
a human face recognition storage cabinet based on big data analysis comprises a storage cabinet body, storage lattices and a control panel, wherein a groove is formed in the front end surface of the storage cabinet body, blind holes are formed in the side walls of two ends of the groove, fixed rods are movably connected to the hole walls of the two blind holes, a rotating gear is fixedly sleeved on the rod wall of each fixed rod, a baffle is movably connected to the tooth space of the rotating gear, the upper surface of the baffle is fixedly connected with the inner wall of the groove, one side surface of each fixed rod, which is opposite to the other side surface, is fixedly connected with the outer walls of two sides of the control panel, rectangular sliding grooves are formed in the inner walls of two sides of each storage lattice, a supporting plate is movably connected to the inner walls of the two rectangular sliding grooves together, a connecting block is fixedly connected to the lower surface of the supporting plate, an electric push rod is fixedly connected to one side surface of the, the front end surface of the storage cabinet body is hinged with a cabinet door matched with the storage lattices through a plurality of hinges, and four moving mechanisms are fixedly connected at four corners of the lower surface of the storage cabinet body.
Preferably, the moving mechanism comprises an external thread rod fixedly connected with the lower surface of the storage cabinet body, a fixed cover is sleeved on the rod wall of the external thread rod in a threaded manner, a rubber ring is fixedly connected to the lower surface of the fixed cover, and a universal wheel is fixedly connected to the lower surface of the external thread rod.
Preferably, the edge of the inner wall of the cabinet door is fixedly connected with a sealing ring.
Preferably, the control panel comprises a control panel body, a camera and a display screen.
Preferably, the upper surface of the storage cabinet body is fixedly connected with a shielding plate.
Preferably, the upper surface of the supporting plate is fixedly connected with a push plate.
Compared with the prior art, the invention provides a face recognition storage cabinet based on big data analysis, which has the following beneficial effects:
1. this face identification locker based on big data analysis, through setting up the dead lever, running gear and blend stop, when the higher and lower user of height used the face identification locker based on big data analysis, can be according to the height according to oneself reality, through manual regulation control panel, make the camera just to user's face, because the dead lever is swing joint with the locker body, so control panel can adjust the angle of inclining, and the blend stop that has the pliability then can fix control panel through the tooth's socket that supports running gear, thereby make the camera remain the angle after adjusting all the time, and then improved the convenience of the face identification locker operation based on big data analysis.
2. This face identification locker based on big data analysis, through setting up electric putter, connecting block and backup pad, when the user need be got back and take back when the user need get back and leave the article in the deep department of higher or lower department matter storage lattice, at first can the synchronous start electric putter when opening the cabinet door through face identification, make the backup pad and place the article above that remove to the matter extraordinarily simultaneously through the connecting block, and then can prevent to appear because of the frictional force between article and the backup pad is not enough through setting up the push pedal, make article not have the condition of outside removal, make the article automatic outside shifting out of in the matter storage lattice through this setting up, be convenient for take, thereby the convenience that the face identification locker based on big data analysis used has been improved.
The device has the advantages that the camera angle of the face recognition storage cabinet based on big data analysis can be adjusted, the adjusting process is simple and convenient, a user can operate the face recognition storage cabinet based on big data analysis more conveniently, the storage lattices can automatically push out and store articles, the user can conveniently take the articles in the higher or lower storage lattices, time and labor are saved, and the convenience in using the face recognition storage cabinet based on big data analysis is improved.
Drawings
FIG. 1 is a schematic structural diagram of a face recognition storage cabinet based on big data analysis according to the present invention;
FIG. 2 is a schematic structural diagram of a part A of a face recognition storage cabinet based on big data analysis according to the present invention.
FIG. 3 is a schematic diagram of a local left-view structure of a face recognition storage cabinet based on big data analysis according to the present invention.
In the figure: the storage cabinet comprises a storage cabinet body 1, storage lattices 2, a control panel 3, a control panel body 31, a camera 32, a display screen 33, a push plate 4, a shielding plate 5, a groove 6, a fixing rod 7, a moving mechanism 8, an external thread rod 81, a fixing cover 82, a rubber ring 83, a universal wheel 84, a blocking strip 9, a rotating gear 10, a rectangular sliding groove 11, a supporting plate 12, a connecting block 13, an electric push rod 14, a cabinet door 15 and a sealing ring 16.
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.
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.
Referring to fig. 1-3, a human face recognition storage cabinet based on big data analysis, comprising a storage cabinet body 1, a storage lattice 2 and a control panel 3, wherein the front end surface of the storage cabinet body 1 is provided with a groove 6, the side walls of both ends of the groove 6 are provided with blind holes, the hole walls of both blind holes are movably connected with fixed rods 7, the rod walls of the fixed rods 7 are fixedly sleeved with a rotating gear 10, the tooth space of the rotating gear 10 is movably connected with a barrier strip 9, the upper surface of the barrier strip 9 is fixedly connected with the inner wall of the groove 6, the opposite side surfaces of both fixed rods 7 are respectively fixedly connected with the outer walls of both sides of the control panel 3, the inner walls of both sides of the storage lattice 2 are provided with rectangular chutes 11, the inner walls of both rectangular chutes 11 are jointly and movably connected with a support plate 12, the lower surface of the support plate 12, electric putter 14 keep away from a side surface of connecting block 13 and the inner wall fixed connection of matter storage lattice 2, the front end surface of locker body 1 articulate through a plurality of hinges have with matter storage lattice 2 assorted cabinet door 15, four moving mechanism 8 of lower surface four corners fixedly connected with of locker body 1.
The inner wall edge fixedly connected with sealing washer 16 of cabinet door 15 can prevent that external dust steam etc. from entering into matter storage lattice 2 inside, guarantees the inside clean and dry of matter storage lattice 2 to the leakproofness of matter storage lattice 2 has been improved.
The upper surface fixed connection of locker body 1 has shielding plate 5, and shielding plate 5 makes locker body 1 can be rain-proof sun-proof to improve its life.
The upper surface of the supporting plate 12 is fixedly connected with the push plate 4, so as to prevent the article from being moved out due to insufficient friction between the article and the supporting plate 12, and the control panel 3 and the electric push rod 14 are electrically connected with the external power supply through the control switch, which is a conventional technique for those skilled in the art and therefore will not be described again.
In the invention, when a user with higher or lower height uses the face recognition storage cabinet based on big data analysis, the camera 32 is just opposite to the face by manually adjusting the control panel 3 according to the actual height, the control panel 3 can adjust the inclination angle because the fixed rod 7 is movably connected with the storage cabinet body 1, and the baffle strip 9 can fix the control panel 3 by propping against the tooth space of the rotating gear 10, so that the camera 32 is always kept at the adjusted angle, thereby improving the convenience of the operation of the face recognition storage cabinet based on big data analysis, when the user takes back an article stored in the deep position of a higher or lower storage lattice, firstly, the electric push rod 14 is synchronously started when the cabinet door 15 is opened through the face recognition, and the support plate 12 and the article placed on the support plate are simultaneously moved outwards of the storage lattice 2 through the connecting block 13, and through setting up push pedal 4 then can prevent that the frictional force because of between article and backup pad 12 from not enough, make article not to the circumstances of the outer removal of matter storage lattice 2, make the automatic outside shifting out of article in matter storage lattice 2 of depositing through this setting, be convenient for take, thereby the convenience that the face identification locker based on big data analysis used has been improved, when needs remove locker body 1, rotatory fixed cover 82 rebound breaks away from ground, accessible universal wheel 84 removes locker body 1 this moment, when needs are fixed will fix the rotatory downstream of cover 82 again, make rubber circle 83 support ground, thereby fix locker body 1.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (6)
1. A face recognition storage cabinet based on big data analysis comprises a storage cabinet body (1), storage lattices (2) and a control panel (3), and is characterized in that a groove (6) is formed in the surface of the front end of the storage cabinet body (1), blind holes are formed in the side walls of the two ends of the groove (6), fixed rods (7) are movably connected to the hole walls of the blind holes, a rotating gear (10) is fixedly sleeved on the rod wall of each fixed rod (7), a blocking strip (9) is movably connected to the tooth groove of the rotating gear (10), the upper surface of the blocking strip (9) is fixedly connected with the inner wall of the groove (6), one opposite side surfaces of the two fixed rods (7) are fixedly connected with the outer walls of the two sides of the control panel (3) respectively, rectangular sliding grooves (11) are formed in the inner walls of the two sides of the storage lattices (2), and a support plate (12) is movably connected to the inner walls of the two rectangular sliding, the lower fixed surface of backup pad (12) is connected with connecting block (13), one side fixed surface of connecting block (13) is connected with electric putter (14), one side surface of keeping away from connecting block (13) of electric putter (14) and the inner wall fixed connection of matter storage lattice (2), the front end surface of locker body (1) articulates through a plurality of hinges has with matter storage lattice (2) assorted cabinet door (15), four moving mechanism (8) of lower surface four corners fixedly connected with of locker body (1).
2. The big data analysis-based face recognition storage cabinet according to claim 1, wherein the moving mechanism (8) comprises an external threaded rod (81) fixedly connected with the lower surface of the storage cabinet body (1), a fixed cover (82) is sleeved on the rod wall of the external threaded rod (81) in a threaded manner, a rubber ring (83) is fixedly connected with the lower surface of the fixed cover (82), and a universal wheel (84) is fixedly connected with the lower surface of the external threaded rod (81).
3. The human face recognition storage cabinet based on big data analysis as claimed in claim 1, wherein a sealing ring (16) is fixedly connected to the edge of the inner wall of the cabinet door (15).
4. The big data analysis-based face recognition storage cabinet according to claim 1, wherein the control panel (3) comprises a control panel body (31), a camera (32) and a display screen (33).
5. The big data analysis-based face recognition storage cabinet according to claim 1, wherein a shielding plate (5) is fixedly connected to the upper surface of the storage cabinet body (1).
6. The big data analysis-based face recognition storage cabinet according to claim 1, wherein a push plate (4) is fixedly connected to the upper surface of the support plate (12).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011241176.8A CN112435407A (en) | 2020-11-09 | 2020-11-09 | Face identification locker based on big data analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011241176.8A CN112435407A (en) | 2020-11-09 | 2020-11-09 | Face identification locker based on big data analysis |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112435407A true CN112435407A (en) | 2021-03-02 |
Family
ID=74700426
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011241176.8A Withdrawn CN112435407A (en) | 2020-11-09 | 2020-11-09 | Face identification locker based on big data analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112435407A (en) |
-
2020
- 2020-11-09 CN CN202011241176.8A patent/CN112435407A/en not_active Withdrawn
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20210302 |
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| WW01 | Invention patent application withdrawn after publication |