AI visual identification sample reserving scale

Abstract

The utility model relates to the technical field of electronic scales, in particular to an AI visual identification sample reserving scale which comprises a weighing device, a support is fixedly connected to the side wall of the weighing device, an intelligent camera is fixedly connected to the surface of the support, the model price of the intelligent camera is preferably DC1010, a bearing structure is arranged on the upper surface of the weighing device, and the bearing structure is arranged on the upper surface of the weighing device. The bearing structure comprises a tray, the tray is fixedly connected with the weighing machine, the inner wall of the tray is slidably connected with two extension plates, the vertical section of the tray is U-shaped, the side wall of the tray is fixedly connected with a rectangular plate, and an insertion plate is slidably connected in the rectangular plate. According to the utility model, the bearing structure is arranged, and after the extension plate is pulled out of the tray, the surface area of the tray can be increased, so that vegetables with large branches and leaves can be conveniently contained, and the situation that the branches and leaves of the vegetables fall down and are in contact with other articles to influence the weighing result is avoided.

Description

Technical Field

[0001] The utility model relates to the technical field of electronic scales, in particular to an AI visual recognition sample retention scale. Background Art

[0002] During the food safety testing process, it is necessary to use an electronic scale to weigh a certain amount of food samples for retention, which is convenient for subsequent testing or random inspection of food samples, so as to control whether the quality of the food is qualified. AI refers to the ability of computer systems to simulate human intelligence using various algorithms and technologies, including learning, reasoning, perception, understanding, communication and other functions. With the development of AI technology, sample scales that use AI smart cameras and electronic scales to weigh food have appeared in the market. They can automatically identify the type of food with the help of smart cameras, thereby facilitating the weighing of different types of food.

[0003] A patent document with the announcement number CN207798238U has appeared in the prior art, which discloses a traceable electronic scale for automatic identification of meat and vegetables, including a traceable electronic scale body, on which are installed a collection and communication module, a traceability control module, an electronic scale module and a weighing module. The weighing module is electrically connected to the electronic scale module and is used for weighing and transmitting weight information to the electronic scale module. The collection and communication module is connected to the traceability control module and is used to collect photos of meat and vegetables and identify the variety information of meat and vegetables through the traceability control module. The utility model of the traceable electronic scale for automatic identification of meat and vegetables automatically identifies and collects the variety information of the weighed meat and vegetable commodities through the image recognition function, simplifies the merchant's operation steps, avoids input errors, and thus frees the merchant's hands. Because it greatly simplifies the merchant's application operation, it is more adapted to the needs of merchants and can be greatly promoted.

[0004] The above-mentioned and existing technologies have the following defects: when using the sample scale, for some vegetables with larger branches and leaves, the branches and leaves of the vegetables are easy to fall down and come into contact with other objects during weighing, resulting in inaccurate weighing results and reducing the weighing accuracy.

[0005] Therefore, an AI visual recognition sample scale is proposed. Utility Model Content

[0006] The purpose of the utility model is to solve the problem that the branches and leaves of vegetables are easy to fall and come into contact with other objects, thereby causing inaccurate weighing results, and to propose an AI visual recognition sample scale.

[0007] In order to achieve the above-mentioned purpose, the utility model adopts the following technical solution: an AI visual recognition sample scale, including a weighing device, the side wall of the weighing device is fixedly connected to a bracket, the surface of the bracket is fixedly connected to an intelligent camera, the model price of the intelligent camera is preferably DC1010, the upper surface of the weighing device is provided with a bearing structure, the bearing structure includes a tray, the tray is fixedly connected to the weighing device, the inner wall of the tray is slidably connected to two extension plates, and the vertical cross-section of the tray is "U"-shaped.

[0008] The effect achieved by the above components is: by setting up a load-bearing structure, after the extension plate is pulled out from the tray, the surface area of ​​the tray can be increased, thereby facilitating the placement of vegetables with larger branches and leaves, and preventing the branches and leaves of the vegetables from falling and contacting other objects, affecting the weighing results.

[0009] Preferably, a rectangular plate is fixedly connected to the side wall of the tray, an inserting plate is slidably connected inside the rectangular plate, a slot is provided on the surface of the extension plate, the size of the inserting plate matches the size of the slot, and a slope is provided on the surface of the inserting plate.

[0010] The effect achieved by the above components is that the cooperation between the plug board and the slot can make the sliding process of the extension board irreversible.

[0011] Preferably, there are several slots, and the cross section of the slots is a right triangle.

[0012] The effect achieved by the above components is that, since the cross section of the slot is a right triangle, the slot will not prevent the extension plate from sliding out from the inner wall of the tray.

[0013] Preferably, a leaf spring is fixedly connected to the surface of the rectangular plate, and one end of the leaf spring is fixedly connected to the plug plate.

[0014] The effect achieved by the above components is that when the leaf spring contracts, the extension plate will be inserted into the slot with the help of the tension of the leaf spring.

[0015] Preferably, a protrusion is fixedly connected to the surface of the inserting plate, and the rectangular plate is located between the protrusion and the tray.

[0016] The effect achieved by the above components is that the protrusion can limit the position of the plug-in board, so that the inclined surface of the plug-in board can be aligned with the extension board.

[0017] Preferably, a limiting hole is provided on the side wall of the tray, an inner wall of the limiting hole is slidably connected to a limiting block, and the limiting block is fixedly connected to the extension plate.

[0018] The effect achieved by the above components is that the sliding of the extension plate will drive the limit block to slide along the inner wall of the limit hole. The limit block and the limit hole cooperate to limit the sliding distance of the extension plate and prevent the extension plate from losing contact with the tray.

[0019] Preferably, an elastic rope is fixedly connected to the surface of the tray, and one end of the elastic rope is fixedly connected to the extension plate.

[0020] The effect achieved by the above components is that when the elastic rope contracts, the extension plate will slide into the inner wall of the tray with the help of the tension of the elastic rope, thereby automatically retracting the extension plate.

[0021] Compared with the prior art, the advantages and positive effects of the present invention are:

[0022] In the present invention, by providing a bearing structure, the surface area of ​​the tray can be increased after the extension plate is pulled out from the tray, thereby making it convenient to hold vegetables with larger branches and leaves, and avoiding the situation where the branches and leaves of the vegetables fall and come into contact with other objects, affecting the weighing results. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a schematic diagram of the overall structure of the utility model.

[0024] Figure 2 This is a schematic diagram of the split structure of the load-bearing structure of the utility model;

[0025] Figure 3 This is a schematic diagram of the split structure of the load-bearing structure of the utility model from another angle;

[0026] Figure 4 It is a structural schematic diagram of the rectangular plate of the utility model.

[0027] Legend: 1. Weighing device; 2. Bracket; 3. Smart camera; 4. Load-bearing structure; 401. Tray; 402. Extension plate; 403. Rectangular plate; 404. Insert plate; 405. Slot; 406. Leaf spring; 407. Bump; 408. Limiting hole; 409. Limiting block; 410. Elastic rope. DETAILED DESCRIPTION

[0028] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described below with reference to the accompanying drawings and embodiments. It should be noted that the embodiments of the present application and the features therein can be combined with each other without conflict.

[0029] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways than those described herein. Therefore, the present invention is not limited to the specific embodiments disclosed in the following specification.

[0030] like Figure 1-Figure 4 As shown, the utility model provides an AI visual recognition sample scale, including a weighing device 1, a bracket 2 is fixedly connected to the side wall of the weighing device 1, a smart camera 3 is fixedly connected to the surface of the bracket 2, and the model price of the smart camera 3 is preferably DC1010. The upper surface of the weighing device 1 is provided with a bearing structure 4, and the bearing structure 4 includes a tray 401, the tray 401 is fixedly connected to the weighing device 1, and the inner wall of the tray 401 is slidably connected to two extension plates 402. The vertical cross-section of the tray 401 is "U"-shaped, and the side wall of the tray 401 is fixedly connected to a rectangular plate 4 03. An inserting plate 404 is slidably connected to the rectangular plate 403. A slot 405 is provided on the surface of the extension plate 402. The size of the inserting plate 404 is adapted to the size of the slot 405. An inclined surface is provided on the surface of the inserting plate 404. The cooperation between the inserting plate 404 and the slot 405 can make the sliding process of the extension plate 402 irreversible. There are several slots 405. The cross section of the slot 405 is a right triangle. Since the cross section of the slot 405 is a right triangle, the slot 405 will not prevent the extension plate 402 from sliding out from the inner wall of the tray 401.

[0031] like Figure 2-Figure 4 As shown, a leaf spring 406 is fixedly connected to the surface of the rectangular plate 403, and one end of the leaf spring 406 is fixedly connected to the inserting plate 404. When the leaf spring 406 contracts, the extension plate 402 will be inserted into the slot 405 with the help of the tension of the leaf spring 406. A protrusion 407 is fixedly connected to the surface of the inserting plate 404. The rectangular plate 403 is located between the protrusion 407 and the tray 401. The protrusion 407 can limit the position of the inserting plate 404, so that the inclined surface of the inserting plate 404 can be aligned with the extension plate 402. A limiting hole 408 is provided on the side wall of the tray 401, and the inner wall of the limiting hole 408 is slidably connected to the limiting block 409. The limit block 409 is fixedly connected to the extension plate 402. The sliding of the extension plate 402 will drive the limit block 409 to slide along the inner wall of the limit hole 408. The limit block 409 cooperates with the limit hole 408 to limit the sliding distance of the extension plate 402, thereby preventing the extension plate 402 from losing contact with the tray 401. An elastic rope 410 is fixedly connected to the surface of the tray 401, and one end of the elastic rope 410 is fixedly connected to the extension plate 402. When the elastic rope 410 contracts, the extension plate 402 will slide into the inner wall of the tray 401 with the help of the tension of the elastic rope 410, thereby automatically retracting the extension plate 402.

[0032] The overall working principle is that the smart camera 3 can collect food images and extract features, and then use AI recognition technology to identify the type of food, so as to judge the type of food according to the AI ​​recognition result. When weighing vegetables with larger branches and leaves, the extension plate 402 is pulled along the inner wall of the tray 401. At this time, the protrusion 407 can limit the position of the insert plate 404, so that the inclined surface of the insert plate 404 can be aligned with the extension plate 402. The extension plate 402 slides and contacts the inclined surface of the insert plate 404. The extension plate 402 will squeeze the insert plate 404. The insert plate 404 slides along the rectangular plate 403 and stretches the leaf spring 406. The extension plate 402 continues to slide and aligns with the slot 405. At this time, the leaf spring 406 contracts, and the extension plate 402 is inserted into the slot 405 with the help of the tension of the leaf spring 406. Since the cross section of the slot 405 is a right triangle, the extension plate 402 can continue to slide. In this process, the insert plate 4 405, and the elastic rope 410 begins to shrink, and the extension plate 402 will slide into the inner wall of the tray 401 with the help of the tension of the elastic rope 410, thereby automatically retracting the extension plate 402.

[0033] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any other form. Any technician familiar with the profession may use the technical content disclosed above to change or modify it into an equivalent embodiment with equivalent changes for application in other fields. However, any simple modification, equivalent change and modification of the above embodiment made according to the technical essence of the present invention without departing from the content of the technical solution of the present invention shall still fall within the scope of protection of the technical solution of the present invention.

Claims

1. An AI visual recognition sample retention scale, comprising a weighing device (1), characterized in that: A bracket (2) is fixedly connected to the side wall of the weighing device (1), a smart camera (3) is fixedly connected to the surface of the bracket (2), a bearing structure (4) is provided on the upper surface of the weighing device (1), the bearing structure (4) comprises a tray (401), the tray (401) is fixedly connected to the weighing device (1), two extension plates (402) are slidably connected to the inner wall of the tray (401), and the vertical cross-section of the tray (401) is "U"-shaped.

2. The AI ​​visual recognition sample retention scale according to claim 1, characterized in that: A rectangular plate (403) is fixedly connected to the side wall of the tray (401), an inserting plate (404) is slidably connected inside the rectangular plate (403), a slot (405) is provided on the surface of the extension plate (402), the size of the inserting plate (404) matches the size of the slot (405), and an inclined surface is provided on the surface of the inserting plate (404).

3. The AI ​​visual recognition sample retention scale according to claim 2, characterized in that: The number of the slots (405) is several, and the cross section of the slots (405) is in the form of a right triangle.

4. The AI ​​visual recognition sample retention scale according to claim 2, characterized in that: A leaf spring (406) is fixedly connected to the surface of the rectangular plate (403), and one end of the leaf spring (406) is fixedly connected to the plug plate (404).

5. The AI ​​visual recognition sample retention scale according to claim 2, characterized in that: A protrusion (407) is fixedly connected to the surface of the inserting plate (404), and the rectangular plate (403) is located between the protrusion (407) and the tray (401).

6. The AI ​​visual recognition sample retention scale according to claim 1, characterized in that: A limiting hole (408) is provided on the side wall of the tray (401), the inner wall of the limiting hole (408) is slidably connected to a limiting block (409), and the limiting block (409) is fixedly connected to the extension plate (402).

7. The AI ​​visual recognition sample retention scale according to claim 1, characterized in that: An elastic rope (410) is fixedly connected to the surface of the tray (401), and one end of the elastic rope (410) is fixedly connected to the extension plate (402).

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