CN213935078U - Face identification locker based on big data analysis - Google Patents
Face identification locker based on big data analysis Download PDFInfo
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- CN213935078U CN213935078U CN202022565763.4U CN202022565763U CN213935078U CN 213935078 U CN213935078 U CN 213935078U CN 202022565763 U CN202022565763 U CN 202022565763U CN 213935078 U CN213935078 U CN 213935078U
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Abstract
The utility model relates to an intelligence locker technical field just discloses a face identification locker based on big data analysis, including locker body, matter storage lattice and control panel, the front end surface of locker body is seted up flutedly, and the blind hole has all been seted up to the both ends lateral wall of recess, and the equal swing joint of pore wall of two blind holes has the dead lever, and the pole wall of dead lever is all fixed the cup joint has transmitting gear, transmitting gear's tooth's socket swing joint has the blend stop. The utility model discloses can make the camera angle of face identification locker based on big data analysis have adjustable function, and accommodation process is simple and convenient for the operation that the user can be more convenient is based on big data analysis's face identification locker, and the matter storage lattice can be released automatically and accomodate article, can convenience of customers take article in the higher or lower matter storage lattice, labour saving and time saving, and then improved the convenience that face identification locker used based on big data analysis.
Description
Technical Field
The utility model relates to an intelligence locker technical field especially relates to a face identification locker 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.
SUMMERY OF THE UTILITY MODEL
The utility model aims at solving the condition that there is the unable regulation of camera angle in the face identification locker based on big data analysis among the prior art, there is stronger uncomfortable sense when the higher and lower user of height uses, thereby the influence is based on the convenience of the face identification locker operation of big data analysis, and when the user need take back to deposit in the article of higher or lower storage lattice depth department, because the restriction of height, the user is difficult directly to take deposited article, thereby the problem of the convenience of face identification locker use based on big data analysis has been influenced, and the face identification locker based on big data analysis who provides.
In order to achieve the above purpose, the utility model 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 connecting block, one side surface of the electric push rod, which is far away from the connecting block, is fixedly connected to the inner walls of the storage lattices, 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 utility model provides a face identification locker based on big data analysis possesses following beneficial effect:
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 does not relate to the part and all is the same with prior art or can adopt prior art to realize, the utility model discloses can make the camera angle of the face identification locker based on big data analysis have adjustable function, and accommodation process is simple and convenient, make the operation that the user can be more convenient be based on big data analysis's face identification locker, and the matter storage lattice can release automatically and accomodate article, can convenience of customers article in the higher or lower matter storage lattice of taking, labour saving and time saving, and then improved the convenience that the face identification locker based on big data analysis used.
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 the utility model provides a structural schematic diagram of face identification locker A part based on big data analysis.
Fig. 3 is the utility model provides a local left side of face identification locker based on big data analysis looks at structural schematic.
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 described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all 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, and are only for convenience of description and simplicity of 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 therefore, 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 is fixedly connected with a connection block 13, and one side surface of the connection block 13 is fixedly connected with an electric push rod 14, 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 utility model, when the 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, because the fixed rod 7 is movably connected with the storage cabinet body 1, the control panel 3 can adjust the inclination angle, and the baffle strip 9 can fix the control panel 3 by propping against the tooth space of the rotating gear 10, thereby the camera 32 is always kept at the adjusted angle, the convenience of the operation of the face recognition storage cabinet based on big data analysis is improved, when the user takes back the article stored in the deep position of the higher or lower storage grid, firstly, the electric push rod 14 can be synchronously started when the cabinet door 15 is opened by the face recognition, the support plate 12 and the article placed thereon move outwards to the storage grid 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, only be the concrete implementation of the preferred embodiment of the present invention, but the protection scope of the present invention is not limited thereto, and any person skilled in the art is in the technical scope of the present invention, according to the technical solution of the present invention and the utility model, the concept of which is equivalent to replace or change, should be covered within the protection 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 grooves (11) together, 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 |
|---|---|---|---|
| CN202022565763.4U CN213935078U (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 |
|---|---|---|---|
| CN202022565763.4U CN213935078U (en) | 2020-11-09 | 2020-11-09 | Face identification locker based on big data analysis |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN213935078U true CN213935078U (en) | 2021-08-10 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202022565763.4U Active CN213935078U (en) | 2020-11-09 | 2020-11-09 | Face identification locker based on big data analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN213935078U (en) |
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2020
- 2020-11-09 CN CN202022565763.4U patent/CN213935078U/en active Active
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