CN218162559U - Picture scanning device's adjustment mechanism based on semi-supervised learning - Google Patents

Picture scanning device's adjustment mechanism based on semi-supervised learning Download PDF

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Publication number
CN218162559U
CN218162559U CN202222111200.7U CN202222111200U CN218162559U CN 218162559 U CN218162559 U CN 218162559U CN 202222111200 U CN202222111200 U CN 202222111200U CN 218162559 U CN218162559 U CN 218162559U
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CN
China
Prior art keywords
semi
pillar
fixed mounting
scanning device
supervised learning
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Expired - Fee Related
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CN202222111200.7U
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Chinese (zh)
Inventor
吕骏
孙悦凯
王璇
宋永超
阎维青
马朝青
郑强
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Yantai University
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Yantai University
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Priority to CN202222111200.7U priority Critical patent/CN218162559U/en
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Abstract

The utility model discloses a picture scanning device's adjustment mechanism based on semi-supervised learning, include: workstation and pillar, its characterized in that, workstation bottom corner fixed mounting has the stabilizer blade everywhere, and workstation surface symmetry fixed mounting has two sets of totally four platform presss from both sides, pillar fixed mounting is in workstation left side top, and the terminal fixed mounting in pillar top has the end plate, both ends symmetry fixed mounting has the annular guide about the pillar. Through the adjustment mechanism of the picture scanning device based on semi-supervised learning of above-mentioned design, during the use, through the shooting position of bench clamp fixed file, prevent that file skew from influencing the shooting effect, can control the lift of image acquisition box through simple and convenient operation, swing and twist reverse, design through the bulb makes image acquisition box self can carry out the angle fine setting, in order to obtain the best shooting angle, can utilize the light filling lamp to carry out the light filling when light is not enough, shoot out the better picture data of effect with the most suitable shooting angle.

Description

Picture scanning device's adjustment mechanism based on semi-supervised learning
Technical Field
The utility model relates to a picture document processing technology field particularly, relates to a picture scanning device's adjustment mechanism based on semi-supervised study.
Background
The image document processing device is office equipment which is developed in recent years and has high-efficiency document scanning electronic processing, can finish quick scanning, has various character recognition functions, can identify, scan and convert pictures into editable documents, and can be applied to daily semi-supervised learning;
most of existing image and document processing devices are of fixed structures, the turning range is small, the use of the device for shooting and collecting document pictures of general sizes is barely met, when large document pictures need to be shot, due to the limitation of the turning range, the document pictures need to be shot are inconvenient to be clamped and fixed, the device is extremely easily interfered by the outside, if wind blows, factors such as mistaken collision and the like cause that the shooting position does not well influence the collection of data, and the semi-supervised learning effect is reduced.
SUMMERY OF THE UTILITY MODEL
A primary object of the present invention is to provide an adjusting mechanism for a picture scanning device based on semi-supervised learning to improve the problems in the related art.
In an embodiment of the present invention, the method includes: workstation and pillar, its characterized in that, workstation bottom corner fixed mounting has the stabilizer blade everywhere, and workstation surface symmetry fixed mounting has two sets of totally four platform presss from both sides, pillar fixed mounting is in workstation left side top, and the terminal fixed mounting in pillar top has the end plate, both ends symmetry fixed mounting has the annular guide about the pillar.
In an embodiment of the present invention, the circumferential surface of the pillar is attached with a helical rack, and the two ends of the helical rack facing one side of the pillar are symmetrically provided with sliding grooves, and the helical rack is slidably mounted on the circumferential surface of the ring-shaped guide rail through the sliding grooves.
In an embodiment of the present invention, the middle of the pillar is sleeved with a Z-shaped clamp plate, and the inner wall of the corner at the right side of the bottom of the Z-shaped clamp plate is fixedly installed with a holding strip, which is tightly attached to the end face of the side of the helical rack.
In an embodiment of the utility model, the bottom right side of the Z-shaped clamping plate is provided with a shaft rod in a penetrating manner, a turbine is coaxially arranged in the middle of the shaft rod, the turbine is installed inside the right side of the Z-shaped clamping plate through the rotation of the shaft rod, and the tooth form of the surface of the turbine is meshed with the helical rack.
In an embodiment of the utility model, the worm is installed in the meshing of turbine top, and the worm rotates to be installed inside the Z shaped splint, worm right side input cover is equipped with the crank.
In one embodiment of the present invention, the left side of the top of the Z-shaped clamp plate is provided with a toggle joint, and the right side of the toggle joint is rotatably connected with an adjusting rod.
The utility model discloses an in one embodiment, it is provided with image acquisition box to adjust pole right side bottom, and the image acquisition box top is connected with the bulb, image acquisition box passes through the bulb and adjusts the pole rotation and be connected, image acquisition box bottom terminal surface encircles and distributes and has the light filling lamp, and the camera is installed to image acquisition box bottom middle-end gomphosis.
Compared with the prior art, the beneficial effects of the utility model are that: through the adjustment mechanism of the picture scanning device based on semi-supervised learning of above-mentioned design, during the use, through the shooting position of bench clamp fixed file, prevent that the file skew from influencing the shooting effect, can control the lift of image acquisition box through simple and convenient operation, swing and twist reverse, can utilize the light filling lamp to carry out the light filling when light is not enough, shoot out the better picture data of effect with the most suitable shooting angle.
1. The utility model discloses a setting of ring rail only needs to grasp crank horizontal hunting during the use, can make the device use the pillar as the center rotation through attached holding strip in the helical rack side, the holistic swing angle of adjusting device on a large scale to the great document picture's of adaptation shooting demand.
2. The utility model discloses a setting of worm, helical rack are according to the helical tooth special design on turbine surface, have solved the unable driven problem of meshing of turbine and rack, through simple mechanical transmission, the implementation device height that can be convenient lift adjustment.
3. The utility model discloses a setting of light filling lamp makes image acquisition box self can carry out the angle fine setting through the design of bulb to acquire the best shooting angle, can utilize the light filling lamp to carry out the light filling when light is not enough, shoot out the better picture data of effect with the shooting angle that is most fit for.
Drawings
Fig. 1 is a schematic overall front view structure diagram of an adjusting mechanism of a picture scanning device based on semi-supervised learning according to an embodiment of the present invention;
fig. 2 is a schematic perspective view of a helical rack of an adjusting mechanism of a picture scanning device based on semi-supervised learning according to an embodiment of the present invention;
fig. 3 is an enlarged schematic structural diagram of a point a in fig. 1 of an adjusting mechanism of a picture scanning apparatus based on semi-supervised learning according to an embodiment of the present invention;
fig. 4 is an image acquisition box three-dimensional structure schematic diagram of an adjusting mechanism of a picture scanning device based on semi-supervised learning according to the embodiment of the present invention.
In the figure: 1. a work table; 2. a leg; 3. a table clamp; 4. a support post; 5. an end plate; 6. an annular guide rail; 7. a helical rack; 8. a chute; 9. a Z-shaped splint; 10. clamping strips; 11. a shaft lever; 12. a turbine; 13. a worm; 14. a crank; 15. a toggle joint; 16. adjusting a rod; 17. an image acquisition box; 18. a ball head; 19. a light supplement lamp; 20. a camera is provided.
Detailed Description
In order to make the technical solution of the present invention better understood, the technical solution of the embodiments of the present invention will be clearly and completely described below 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. Based on the embodiments of the present invention, all other embodiments obtained by a person skilled in the art without creative efforts shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged as appropriate in order to facilitate the embodiments of the invention described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In the present invention, the terms "upper", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outer", "middle", "vertical", "horizontal", "lateral", "longitudinal", and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings. These terms are used primarily to better describe the invention and its embodiments, and are not intended to limit the indicated devices, elements or components to a particular orientation or to be constructed and operated in a particular orientation.
Moreover, some of the above terms may be used to indicate other meanings besides the orientation or positional relationship, for example, the term "on" may also be used to indicate some kind of attachment or connection relationship in some cases. The specific meaning of these terms in the present invention can be understood by those of ordinary skill in the art as appropriate.
In addition, the term "plurality" shall mean two as well as more than two.
It should be noted that, in the present invention, the embodiments and features of the embodiments may be combined with each other without conflict. The present invention will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Example 1
Referring to fig. 1-4, the present invention provides an adjusting mechanism of a picture scanning device based on semi-supervised learning, comprising: workstation 1 and pillar 4, 1 bottom four corners fixed mounting of workstation has stabilizer blade 2, and 1 surperficial symmetry fixed mounting of workstation has two sets of four platform presss from both sides 3 altogether, 4 fixed mounting of pillar in 1 left side top of workstation, and the terminal fixed mounting in 4 tops of pillar has end plate 5, both ends symmetry fixed mounting has annular guide 6 about pillar 4, the attached rack 7 that is provided with of 4 periphery of pillar, and the rack 7 has seted up spout 8 towards 4 one side both ends symmetries of pillar, rack 7 passes through spout 8 slidable mounting in 6 peripheries of annular guide, 4 middle part covers of pillar are equipped with Z clamp plate 9, and Z clamp plate 9 bottom right side corner inner wall fixed mounting has holding strip 10, holding strip 10 closely laminates with 7 side end faces of rack.
The two ends of one side, facing the pillar 4, of the helical rack 7 are provided with the sliding grooves 8, the helical rack 7 moves circularly through the sliding grooves 8 and the annular guide rails 6 at the two ends of the pillar 4, when the device is used, the crank 14 only needs to be grasped to swing left and right, the device can rotate by taking the pillar 4 as the center through the clamping strips 10 attached to the side faces of the helical rack 7, the whole swing angle of the device can be adjusted on a large scale, and the requirement for taking a large-size document picture can be met.
In the embodiment, a shaft rod 11 is arranged on the right side of the bottom of the Z-shaped clamping plate 9 in a penetrating mode, a turbine 12 is coaxially installed in the middle of the shaft rod 11, the turbine 12 is installed inside the right side of the Z-shaped clamping plate 9 in a rotating mode through the shaft rod 11, the surface tooth form of the turbine 12 is meshed with the helical rack 7, a worm 13 is installed on the top of the turbine 12 in a meshing mode, the worm 13 is installed inside the Z-shaped clamping plate 9 in a rotating mode, and a crank 14 is sleeved at the right side input end of the worm 13.
The crank 14 is rotated to drive through the meshing of the worm 13 and the worm wheel 12, so that the worm wheel 12 is positioned at the right side of the bottom of the Z-shaped clamping plate 9 through the shaft rod 11 to rotate, and the lifting of the height of the device is realized through the meshing of the worm wheel 12 and the helical rack 7.
In the embodiment, a toggle joint 15 is arranged on the left side of the top of the Z-shaped clamping plate 9, an adjusting rod 16 is rotatably connected to the right side of the toggle joint 15, an image collecting box 17 is arranged at the bottom of the right side of the adjusting rod 16, a ball head 18 is connected to the top of the image collecting box 17, the image collecting box 17 is rotatably connected with the adjusting rod 16 through the ball head 18, light supplementing lamps 19 are distributed on the bottom end surface of the image collecting box 17 in a surrounding mode, and a camera 20 is installed at the middle end of the bottom of the image collecting box 17 in a embedded mode.
The adjusting rod 16 is rotatably connected with the left side of the top of the Z-shaped clamping plate 9 through the toggle joint 15, so that the device can swing up and down, the adjusted angle is supported through a support rod not shown in the drawing, the image collecting box 17 can be subjected to angle fine adjustment through the design of the ball head 18, the best shooting angle is obtained, and a light supplementing lamp 19 can be used for supplementing light when the light is insufficient.
Specifically, the working principle of the adjusting mechanism of the picture scanning device based on semi-supervised learning is as follows: the file is horizontally placed at the top of a workbench 1, the shooting position of the file is fixed through a table clamp 3, a crank 14 is rotated, the worm 13 is meshed with a worm 12 for transmission, the worm 12 is located at the right side of the bottom of a Z-shaped clamping plate 9 through a shaft rod 11 and rotates, the height of the device is further lifted through the meshing of the worm 12 and a helical rack 7, sliding grooves 8 are formed in two ends of one side, facing a strut 4, of the helical rack 7, the helical rack 7 moves circularly through annular guide rails 6 located at two ends of the strut 4 through the sliding grooves 8, when the device is used, the crank 14 only needs to be grasped to swing left and right, the device can rotate around the strut 4 through clamping strips 10 attached to the side faces of the helical rack 7, the whole swing angle of the device can be adjusted in a large range, the shooting requirement of large-size document pictures can be met, an adjusting rod 16 is rotatably connected with the left side of the top of the Z-shaped clamping plate 9 through a toggle 15, the device can swing up and down, the adjusted angle is supported through a supporting rod not shown in the figure, the design of the ball head 18, the image collecting box 17 can be subjected to angle fine adjustment, the optimal shooting angle can be subjected to light supplement, and the optimal shooting angle can be obtained through the optimal shooting effect.
It should be noted that: the model specification of the camera 20 needs to be determined by type selection according to the actual specification of the device, and the specific type selection calculation method adopts the prior art in the field, so detailed description is omitted.
The power supply of the camera 20 and its principle will be clear to a person skilled in the art and will not be described in detail here.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (7)

1. An adjustment mechanism for a picture scanning device based on semi-supervised learning, comprising: workstation (1) and pillar (4), its characterized in that, workstation (1) bottom corner fixed mounting has stabilizer blade (2) everywhere, and workstation (1) surface symmetry fixed mounting has two sets of totally four platform presss from both sides (3), pillar (4) fixed mounting is in workstation (1) left side top, and the terminal fixed mounting in pillar (4) top has end plate (5), the both ends symmetry fixed mounting has ring rail (6) about pillar (4).
2. The adjusting mechanism of the picture scanning device based on semi-supervised learning as recited in claim 1, wherein a helical rack (7) is attached to the circumferential surface of the supporting column (4), sliding grooves (8) are symmetrically formed in two ends of one side, facing the supporting column (4), of the helical rack (7), and the helical rack (7) is slidably mounted on the circumferential surface of the annular guide rail (6) through the sliding grooves (8).
3. The adjusting mechanism of the picture scanning device based on semi-supervised learning as recited in claim 1, wherein a Z-shaped clamping plate (9) is sleeved in the middle of the pillar (4), a clamping strip (10) is fixedly installed on the inner wall of the right corner of the bottom of the Z-shaped clamping plate (9), and the clamping strip (10) is tightly attached to the end face of the side of the helical rack (7).
4. The adjusting mechanism of the picture scanning device based on semi-supervised learning as recited in claim 3, wherein a shaft rod (11) penetrates through the right side of the bottom of the Z-shaped clamping plate (9), a turbine (12) is coaxially installed in the middle of the shaft rod (11), the turbine (12) is rotatably installed inside the right side of the Z-shaped clamping plate (9) through the shaft rod (11), and the surface tooth profile of the turbine (12) is meshed with the helical rack (7).
5. The adjusting mechanism of the picture scanning device based on semi-supervised learning as recited in claim 4, wherein a worm (13) is mounted at the top of the worm wheel (12) in a meshed manner, the worm (13) is rotatably mounted inside the Z-shaped clamping plate (9), and a crank (14) is sleeved at the right input end of the worm (13).
6. The adjusting mechanism of the picture scanning device based on semi-supervised learning as recited in claim 3, wherein a toggle joint (15) is arranged on the left side of the top of the Z-shaped splint (9), and an adjusting rod (16) is rotatably connected on the right side of the toggle joint (15).
7. The adjusting mechanism of the picture scanning device based on semi-supervised learning as recited in claim 6, wherein an image acquisition box (17) is arranged at the bottom of the right side of the adjusting rod (16), a ball head (18) is connected to the top of the image acquisition box (17), the image acquisition box (17) is rotatably connected with the adjusting rod (16) through the ball head (18), light supplement lamps (19) are distributed around the bottom end surface of the image acquisition box (17), and a camera (20) is embedded at the middle end of the bottom of the image acquisition box (17).
CN202222111200.7U 2022-08-11 2022-08-11 Picture scanning device's adjustment mechanism based on semi-supervised learning Expired - Fee Related CN218162559U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202222111200.7U CN218162559U (en) 2022-08-11 2022-08-11 Picture scanning device's adjustment mechanism based on semi-supervised learning

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202222111200.7U CN218162559U (en) 2022-08-11 2022-08-11 Picture scanning device's adjustment mechanism based on semi-supervised learning

Publications (1)

Publication Number Publication Date
CN218162559U true CN218162559U (en) 2022-12-27

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ID=84599981

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202222111200.7U Expired - Fee Related CN218162559U (en) 2022-08-11 2022-08-11 Picture scanning device's adjustment mechanism based on semi-supervised learning

Country Status (1)

Country Link
CN (1) CN218162559U (en)

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CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20221227

CF01 Termination of patent right due to non-payment of annual fee