Goods shelf based on machine vision and weighing and management system thereof

Abstract

The invention discloses a goods shelf based on machine vision and weighing and a management system thereof. According to the technical scheme, the goods shelf comprises a goods shelf body and a controller, the goods shelf body is provided with a plurality of carrying cross beams, and each carrying cross beam is provided with a plurality of storage positions; each storage location comprises a tray, a weighing unit arranged at the bottom of the tray, a visual detection unit arranged above the tray and a label screen arranged on the front face of the carrying cross beam, a touch screen is arranged at the bottom of the goods shelf body, and the weighing units, the visual detection units, the label screens and the touch screen are electrically connected with the controller. The scheme provided by the invention can intelligently judge whether materials exist in the storage location, the number of the materials and the weight of the materials, intelligently identify material type information, and reduce the error rate caused by human factors.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent shelves, and in particular to a shelf based on machine vision and weighing and a management system thereof. Background Art

[0002] Bank vaults currently use traditional shelves to store items (cash, precious metals, collateral, etc.). Material inventory mainly relies on manual inventory, which is inefficient, occupies personnel costs, and requires paper-based handovers, which are not efficient and accurate. Summary of the invention

[0003] In view of the shortcomings of the prior art, the main purpose of the present invention is to provide a shelf and its management system based on machine vision and weighing, which can determine the presence or absence of materials in a storage location, the quantity and weight of materials, intelligently identify material type information, and reduce the error rate caused by human factors.

[0004] To achieve the above-mentioned objectives, the present invention provides the following technical solutions: a shelf based on machine vision and weighing, comprising a shelf body and a controller, the shelf body being provided with a plurality of loading beams, each loading beam being provided with a plurality of storage locations, each storage location comprising a pallet, a weighing unit arranged at the bottom of the pallet, a visual detection unit arranged above the pallet, and a label screen arranged on the front side of the loading beam, a touch screen being arranged at the bottom of the shelf body, the weighing unit, the visual detection unit, the label screen and the touch screen being electrically connected to the controller respectively, the visual detection unit being a camera facing the storage location for identifying the type of article, and the weighing unit being a weighing sensor in contact with the bottom of the pallet.

[0005] Preferably, a receiving cavity located below the pallet is provided on the loading beam in each storage position, partitions are provided between the receiving cavities, and a positioning frame capable of abutting against the partitions is provided at the bottom of the pallet.

[0006] Preferably, a camera fixing hole is provided at the bottom of each accommodating cavity, and a pair of support plates are also provided in each accommodating cavity, a U-shaped plate for fixing the weighing sensor is provided between the pair of support plates, and a limiting groove corresponding to the weighing sensor is provided at the bottom of the tray, and the tray and the weighing sensor are fixedly connected by a connecting plate.

[0007] Preferably, an ultraviolet sterilization lamp electrically connected to the controller is also provided above each storage location.

[0008] A management system, based on the shelf according to any one of claims 1 to 4, including a background management system, the method comprising the following steps: a. Input the standard image data and unit weight data of each item into the backend management system; b. When the touch screen receives an instruction to store or pick up goods, the weighing unit in the storage location repeatedly detects the weight data of the items in the storage location, and the visual inspection unit repeatedly detects the image data of the items in the storage location. The controller processes the weight data and image data and sends them to the background management system; c. The backend management system receives and compares the weight data and image data with the SKU data of the item. When the data are consistent, the data is sent to the label screen and touch screen. When a difference occurs, the system alarms. The SKU data includes the item name, the standard weight data of the item, and the image data of the item.

[0009] Compared with the prior art, the present invention has the following advantages: it uses machine vision and weighing technology to intelligently determine whether there are materials in the storage location, the quantity of materials and the weight of materials, and intelligently identify the type of materials, so as to realize the automated unmanned inventory of the vault, and display the status of materials in the vault in real time through the label screen. Machine vision technology has high-precision recognition capabilities and can accurately identify items on the shelves, reducing the error rate caused by human factors. Unexpected changes in shelf weight will trigger a safety warning, ensuring the safety of items placed on the shelves in the vault, turning the storage location into a safe location, and improving the safety of items while taking into account convenience. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 It is a structural schematic diagram of a shelf based on machine vision and weighing of the present invention; Figure 2 A front view of a shelf based on machine vision and weighing according to the present invention; Figure 3 This is a schematic diagram of the structure of the shelf after omitting some pallets; Figure 4 for Figure 3 A schematic diagram of the enlarged structure of part A; Figure 5 It is a structural schematic diagram of the load-carrying beam of the present invention; Figure 6 It is a schematic structural diagram of a tray of the present invention.

[0011] In the figure: 1. Shelf body; 2. Loading beam; 3. Storage position; 4. Pallet; 5. Camera; 6. Weighing sensor; 7. Label screen; 8. Touch screen; 9. Accommodation cavity; 10. Partition; 11. Positioning frame; 12. Camera fixing hole; 13. Support plate; 14. U-shaped plate; 15. Limiting groove; 16. Connecting plate; 17. Ultraviolet sterilization lamp. DETAILED DESCRIPTION

[0012] The present invention will be further described below in conjunction with the accompanying drawings.

[0013] like Figure 1As shown, a shelf based on machine vision and weighing includes a shelf body 1 and a controller, wherein a plurality of loading beams 2 are arranged on the shelf body 1, and a plurality of storage locations 3 are arranged on each loading beam 2, and each storage location 3 includes a pallet 4, a weighing unit arranged at the bottom of the pallet 4, a visual detection unit arranged above the pallet 4, and a label screen 7 arranged on the front of the loading beam 2, and a touch screen 8 is arranged at the bottom of the shelf body 1, and the weighing unit, the visual detection unit, the label screen 7 and the touch screen 8 are electrically connected to the controller respectively, and the visual detection unit is a camera 5 facing the storage location 3 for identifying the type of article, and the weighing unit is a weighing sensor 6 in contact with the bottom of the pallet 4.

[0014] A shelf based on machine vision and weighing in this solution uses machine vision and weighing technology to intelligently determine the presence or absence of materials in the storage location 3, the quantity of materials and the weight of materials, and intelligently identify the type of materials, so as to realize the automatic unmanned inventory of the vault, and display the status of materials in the vault in real time through the label screen 7. Machine vision technology has high-precision recognition capabilities, can accurately identify items on the shelf, and reduce the error rate caused by human factors.

[0015] Specifically, a plurality of loading beams 2 are arranged on the shelf body 1, and a plurality of storage locations 3 are arranged on each loading beam 2. A weighing unit is arranged at the bottom of the tray 4 of the storage location 3. The weighing unit has a built-in high-precision weighing sensor 6, which can obtain the weight information of the items on the shelf in real time to avoid errors caused by weight changes caused by long-term storage. A visual detection unit capable of identifying the type of items is arranged above the storage location 3. The visual detection unit is a camera 5. The weight and video data are automatically collected and analyzed in real time. The data accuracy is high. The machine vision recognizes the items to improve the recognition accuracy and efficiency.

[0016] In actual use, the weighing unit and the visual detection unit collect the video data and weight data of the storage location 3 in real time and send them to the controller. The controller sends the corresponding processed data information to the label screen 7 and the touch screen 8. The controller is not drawn in the attached figure. The focus of this scheme is to propose the hardware composition relationship between the weighing sensor 6, the camera 5 and the controller, and propose a feasible judgment of the existence of materials in the storage location 3, the quantity of materials and the weight of materials, and intelligently identify the type of materials. The information, which reduces the error rate caused by human factors, is based on machine vision and weighing. It can support real-time inventory of materials. At present, the inventory of materials in the vault is manually or machine-assisted, which is time-consuming and labor-intensive. This shelf can count the material information in real time through machine vision and weighing functions, saving time. The weight can sense the change in the number of materials, and the camera 5 can identify the type and quantity of materials to ensure the safety of material storage. Among them, the label screen 7 can prompt manual access to goods, display different inventory and goods status, facilitate manual picking, and display the status information of the storage location 3 in real time to help the vault staff quickly find the required items. Unexpected weight changes will trigger an alarm to ensure the safety of the items in the safe and prevent illegal access; if the weight changes over a period of time (bumps, etc.), an alarm will be triggered and the alarm information will be displayed in the corresponding label screen 7.

[0017] Preferably, the loading beam 2 is provided with a receiving cavity 9 below the tray 4 in each storage location 3, a partition 10 is provided between each receiving cavity 9, and a positioning frame 11 capable of abutting against the partition 10 is provided at the bottom of the tray 4. The partition 10 can be connected to the loading beam 2 by welding, plugging or sliding, and the detachable connection can change the size of the storage location 3, and it is convenient to adjust the area of ​​the storage location 3 according to the type of goods.

[0018] Preferably, a camera fixing hole 12 is provided at the bottom of each accommodating cavity 9, and a pair of support plates 13 are also provided in each accommodating cavity 9, a U-shaped plate 14 for fixing the weighing sensor 6 is provided between the pair of support plates 13, and a limiting groove 15 corresponding to the weighing sensor 6 is provided at the bottom of the tray 4, and the tray 4 and the weighing sensor 6 are fixedly connected by a connecting plate 16.

[0019] The camera 5 is fixed at the center of the accommodating cavity 9 through the camera fixing hole 12 to provide video data for the storage position 3 of the next layer. A pair of support plates 13 cooperate with the U-shaped plate 14 to well limit the support of the weighing sensor 6. The bottom of the tray 4 is provided with a limit groove 15 corresponding to the weighing sensor 6, which can improve the measurement accuracy of the weighing sensor 6 and reduce the error. The tray 4 and the weighing sensor 6 are fixedly connected by a connecting plate 16, and the connecting plate 16 is connected to the tray 4 and the weighing sensor 6 by screws.

[0020] Preferably, an ultraviolet sterilization lamp 17 electrically connected to the controller is also provided above each storage location 3 .

[0021] An ultraviolet germicidal lamp 17 is provided to sterilize and disinfect regularly, thereby ensuring that the materials can be stored for a long time.

[0022] A management system, including a background management system, wherein the method comprises the following steps: a. Input the standard image data and unit weight data of each item into the backend management system; b. When the touch screen 8 receives the inventory or pickup operation instruction, the weighing unit in the storage location 3 repeatedly detects the weight data of the items in the storage location 3, and the visual inspection unit repeatedly detects the image data of the items in the storage location 3. The controller processes the weight data and image data and sends them to the background management system; c. The backend management system receives and compares the weight data and image data with the SKU data of the item. When the data are consistent, the data is sent to the label screen 7 and the touch screen 8. When a difference occurs, the system alarms. The SKU data includes the item name, the standard weight data of the item and the image data of the item.

[0023] Unexpected changes in shelf weight will trigger a safety warning, ensuring the safety of items placed on the shelves in the vault, turning the storage location into a safe storage location, while taking into account convenience and improving the safety of items.

[0024] The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technicians in this technical field, some improvements and modifications without departing from the principle of the present invention should also be regarded as the protection scope of the present invention.

Claims

1. A shelf based on machine vision and weighing, characterized by: It includes a shelf body and a controller. The shelf body is provided with multiple loading beams. Each loading beam is provided with a number of storage locations. Each storage location includes a pallet, a weighing unit arranged at the bottom of the pallet, a visual detection unit arranged above the pallet and a label screen arranged on the front of the loading beam. A touch screen is arranged at the bottom of the shelf body. The weighing unit, the visual detection unit, the label screen and the touch screen are electrically connected to the controller respectively. The visual detection unit is a camera facing the storage location for identifying the type of items. The weighing unit is a weighing sensor in contact with the bottom of the pallet.

2. A shelf based on machine vision and weighing according to claim 1, characterized in that: A accommodating cavity located below the tray is arranged on the loading beam in each storage position, partitions are arranged between the accommodating cavities, and a positioning frame capable of abutting against the partitions is arranged at the bottom of the tray.

3. The machine vision and weighing-based shelf according to claim 2, characterized in that: A camera fixing hole is provided at the bottom of each accommodating cavity, and a pair of support plates are also provided in each accommodating cavity. A U-shaped plate for fixing the weighing sensor is provided between the pair of support plates. A limiting groove corresponding to the weighing sensor is provided at the bottom of the tray, and the tray and the weighing sensor are fixedly connected by a connecting plate.

4. The machine vision and weighing-based shelf according to claim 1, characterized in that: An ultraviolet sterilization lamp electrically connected to the controller is also provided above each storage location.

5. A management system based on the shelf according to any one of claims 1 to 4, characterized in that: Including a background management system, the method comprises the following steps: a. Input the standard image data and unit weight data of each item into the backend management system; b. When the touch screen receives an instruction to store or pick up goods, the weighing unit in the storage location repeatedly detects the weight data of the items in the storage location, and the visual inspection unit repeatedly detects the image data of the items in the storage location. The controller processes the weight data and image data and sends them to the background management system; c. The backend management system receives and compares the weight data and image data with the SKU data of the item. When the data are consistent, the data is sent to the label screen and touch screen. When a difference occurs, the system alarms. The SKU data includes the item name, the standard weight data of the item, and the image data of the item.

Images