Material self-service receiving and tracing code recording method and system based on fusion perception

Abstract

The invention discloses a material self-service receiving and tracing code recording method and system based on fusion perception, and belongs to the technical field of warehouse management, and the method comprises the steps: detecting whether a target object enters a storage region or leaves the storage region through a sensing device, and obtaining the identity information of the target object, establishing a cargo list according to the identity information of the target object; when the target object enters the storage area, a checking system is triggered to be started, and a camera in the checking system collects goods images; inputting the cargo image into a pre-trained inventory recognition model to obtain the information A of the received cargo; and the RFID terminal performs radio frequency checking on the remaining articles in the access area to obtain cargo information B with an RFID number. According to the invention, the material receiving information on the shelf can be identified in real time to trigger checking, and self-service material receiving is facilitated.

Description

Technical Field

[0001] The present invention relates to the field of warehouse management, and more specifically, to a method and system for self-service material requisition and traceability code recording based on fusion perception. Background Art

[0002] As a key technology in the perception layer, RFID technology is widely used in the intelligent management of warehouse item management. The advantages of RFID technology compared to scanning barcodes or QR codes are that it does not require direct alignment and can be read from a distance. Nevertheless, RFID technology cannot well solve the problem of low efficiency in the process of self-service material requisition.

[0003] There are two deployment methods for RFID readers. One is a handheld device. Since the RFID radio frequency power is relatively low, it needs to be close to the RFID tag to be read during use. The other is an RFID radio frequency base station, which is generally placed at the door or on the shelf or other places in the warehouse. The video power is relatively high and it can be read without being close to the RFID tag. During the self-service requisition process, if a handheld device is used, the requisitioner holds the handheld device close to the QR code tag with one hand for scanning and takes the required items with the other hand, resulting in the requisitioner not being able to requisition many things. If an RFID radio frequency base station is used, the requisitioner can take more items, but needs to take these items outside the coverage area of the RFID radio frequency base station to complete the settlement. The self-service requisition warehouse is often very small, and the requisitioner needs to leave the warehouse a certain distance to complete the settlement, and the RFID code of the requisitioned items cannot be recognized in real time during the requisition process.

[0004] In summary, only using RFID technology cannot well solve the problems encountered in the self-service requisition process. Summary of the Invention

[0005] The purpose of the present invention is to overcome the deficiencies of the prior art and provide a method and system for self-service material requisition and traceability code recording based on fusion perception, which can identify the information of the requisitioned materials on the shelf in real time to trigger an inventory and facilitate the self-service requisition of materials.

[0006] The purpose of the present invention is achieved through the following solutions:

[0007] A method for self-service material requisition and traceability code recording based on fusion perception includes the following steps:

[0008] S1. Detect whether the target object enters or leaves the storage area through the sensing device, obtain the identity information of the target object, and establish a goods list according to the identity information of the target object;

[0009] S2. When the target object enters the warehouse storage area, it triggers the inventory system to conduct a real-time inventory. The camera in the inventory system captures the images of the goods before and after picking. The inventory system inputs the images of the goods before and after picking into a pre-trained inventory recognition model to obtain the picked goods information A, and displays it at the settlement terminal;

[0010] S3. After the target object leaves the storage area, the RFID terminal conducts a radio frequency inventory of the remaining items in the storage area to obtain the goods information B with RFID numbers;

[0011] S4. Bind and store the picked goods information A and the picked goods information B.

[0012] Furthermore, the picked goods information A includes the types and quantities of the picked goods; the picked goods information B includes the types and quantities of the picked goods, the production batch numbers of the picked goods, and the warehousing time.

[0013] Furthermore, the method of inputting the goods images into a pre-trained inventory recognition model to obtain the picked goods information A includes:

[0014] The inventory system captures the goods images according to a preset time, inputs the goods images into a pre-trained goods recognition model to obtain the quantity G of the goods in the storage area k , G k which is recorded as the current inventory; subtract the quantity G of the goods recorded in the (k - 1)-th inventory from the quantity G of the goods recorded in the k-th inventory k-1 to calculate the quantity of the picked goods. The quantity and types of the picked goods are recorded as the picked goods information A. k

[0015] Furthermore, the training process of the inventory recognition model includes: obtaining the goods images as training samples, where the goods images contain the true labels of the labeled targets, and using the goods images to train the inventory recognition model to obtain the trained inventory recognition model.

[0016] Furthermore, the inventory recognition model is a yolov5 recognition model.

[0017] Furthermore, the target object is a human body or a transport vehicle.

[0018] A material self-service picking and traceability code recording system based on fusion perception includes:

[0019] A monitoring unit, which is used to detect whether the target object enters or leaves the storage area through an induction device, obtain the identity information of the target object, and establish a goods list according to the identity information of the target object;

[0020] ​The goods inventory unit is used to trigger the inventory system to conduct real-time inventory when the target object enters the storage area. The camera in the inventory system captures the goods images, and the goods images are input into a pre-trained inventory recognition model to obtain the issued goods information A.

[0021] The storage unit, after the target object leaves the storage area, the RFID terminal conducts radio frequency inventory on the remaining items in the storage area to obtain the goods information B with RFID numbers.

[0022] Furthermore, multiple groups of shelves are arranged in the storage area, and cameras for capturing goods images are provided on the shelves.

[0023] An electronic device includes a memory, a processor, and a computer program stored on the memory and capable of running on the processor. The processor executes the steps of the method for self-service material issuance and traceability code recording based on fusion perception as described in any one of the above.

[0024] The beneficial effects of the present invention include:

[0025] (1) The present invention detects whether the target object enters or leaves the storage area through the sensing device, obtains the identity information of the target object, and establishes a goods list according to the identity information of the target object. When the target object enters the storage area, the inventory system is triggered to start. The camera in the inventory system captures the goods images, and the goods images are input into a pre-trained inventory recognition model to obtain the issued goods information A. The RFID terminal conducts radio frequency inventory on the remaining items in the access area to obtain the goods information B with RFID numbers. The present invention can identify the issued material information on the shelves in real time to trigger the inventory, which is convenient for self-service material issuance.

[0026] (2) After the goods inventory is completed, the RFID terminal conducts radio frequency inventory on the remaining items in the access area to obtain the goods information B with RFID numbers. Among them, the issued goods information B refers to the issued goods type, issued goods quantity, production batch number of the issued goods, and warehousing time, which is convenient for traceability and later maintenance. Description of the Drawings

[0027] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0028] Figure 1 It is the flowchart of the method steps in Embodiment 1 of the present invention. Detailed Embodiment

[0029] All the features disclosed in all the embodiments in this specification, or all the steps in any method or process implicitly disclosed, except for mutually exclusive features and / or steps, can be combined and / or extended, replaced in any manner.

[0030] Embodiment 1

[0031] The embodiment of the present invention provides a method for self-service material collection and traceability code recording based on fusion perception, as Figure 1 shown, the method includes the following steps:

[0032] S1. Detect whether the target object enters or leaves the storage area through the sensing device, obtain the identity information of the target object, and establish a goods list according to the identity information of the target object; the target object is a human body or a transport vehicle.

[0033] S2. When the target object enters the warehouse storage area, trigger the inventory system to conduct a real-time inventory. The camera in the inventory system collects the goods images before and after collection. The inventory system inputs the goods images before and after collection into the pre-trained inventory recognition model to obtain the collected goods information A, and displays it at the settlement terminal; the collected goods information A includes the types and quantities of the collected goods.

[0034] Specifically, the inventory recognition model is the yolov5 recognition model. Obtain the goods images as training samples. The goods images contain the true labels of the labeled targets. Use the goods images to train the inventory recognition model to obtain the trained inventory recognition model.

[0035] S3. After the target object leaves the storage area, the RFID terminal conducts a radio frequency inventory of the remaining items in the storage area to obtain the goods information B with RFID numbers.

[0036] S4. Bind and store the collected goods information A and the collected goods information B.

[0037] The collected goods information B includes the types, quantities, production batch numbers, and storage times of the collected goods.

[0038] The method of inputting the goods images into the pre-trained inventory recognition model to obtain the collected goods information A includes:

[0039] The inventory system collects the goods images according to the preset time, inputs the goods images into the pre-trained goods recognition model to obtain the quantity G of the goods in the storage area k , G k is recorded as the current inventory; the quantity G of the goods recorded in the (k - 1)-th inventory k-1 minus the quantity G of the goods recorded in the k-th inventory kThe quantity of goods taken is calculated, and the quantity of goods taken and the types of goods taken are recorded as the goods-taking information A.

[0040] Embodiment 2

[0041] In a second aspect, the present invention provides a self-service material taking and traceability code recording system based on fusion perception, including:

[0042] A monitoring unit, configured to detect whether a target object enters or leaves a storage area through an induction device, obtain the identity information of the target object, and establish a goods list according to the identity information of the target object;

[0043] A goods inventory unit, configured to trigger a real-time inventory of the inventory system when the target object enters the storage area, and a camera in the inventory system collects a goods image; input the goods image into a pre-trained inventory recognition model to obtain the goods-taking information A;

[0044] A storage unit, after the target object leaves the storage area, an RFID terminal performs a radio frequency inventory on the remaining items in the storage area to obtain goods information B with an RFID number.

[0045] Embodiment 3

[0046] In a third aspect, the present invention provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor executes the steps of the material self-service taking and traceability code recording method described in Embodiment 1.

[0047] The units involved in the embodiments of the present invention can be implemented in software or in hardware, and the described units can also be provided in a processor. Among them, the names of these units do not constitute a limitation to the unit itself in some cases.

[0048] According to one aspect of the embodiments of the present invention, a computer program product or a computer program is provided, and the computer program product or the computer program includes computer instructions, and the computer instructions are stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the methods provided in the above various alternative implementation manners.

[0049] As another aspect, an embodiment of the present invention further provides a computer-readable medium, which may be included in the electronic device described in the above embodiments; or may exist separately without being assembled into the electronic device. The above computer-readable medium carries one or more programs, and when the one or more programs are executed by an electronic device, the electronic device implements the method described in the above embodiments.

Claims

1. A method for self-service material collection and traceability code recording based on fusion perception, characterized in that: The following steps are involved: S1. Detecting whether a target object enters or leaves a storage area through a sensing device, and obtaining identity information of the target object, and establishing a cargo list according to the identity information of the target object; S2. When the target object enters the warehouse storage area, the inventory counting system is triggered to perform real-time inventory counting. The camera in the inventory counting system collects images of the goods before and after they are picked up. The inventory counting system inputs the images of the goods before and after they are picked up into the pre-trained inventory counting recognition model to obtain the picked goods information A, and displays it at the settlement terminal; S3. When the target object leaves the storage area, the RFID terminal performs a radio frequency inventory of the remaining items in the storage area and obtains the cargo information B with the RFID number; S4. Bind and store the goods collection information A and the goods collection information B.

2. The method for self-service material collection and traceability code recording based on fusion perception according to claim 1 is characterized in that: The received goods information A includes the type and quantity of received goods; the received goods information B includes the type, quantity, production batch number and warehousing time of the received goods.

3. The method for self-service material collection and traceability code recording based on fusion perception according to claim 1 is characterized in that: The method of inputting the cargo image into the pre-trained inventory recognition model to obtain the cargo collection information A includes: The inventory counting system collects cargo images according to the preset time, inputs the cargo images into the pre-trained cargo recognition model to obtain the number of cargo G in the storage area. k , G k Record as current inventory; record the quantity of goods G recorded in the k-1th inventory k-1 Subtract the quantity G of the goods recorded in the kth inventory count k The quantity of goods to be picked up is calculated, and the quantity of goods to be picked up and the types of goods to be picked up are recorded as goods to be picked up information A.

4. The method for self-service material collection and traceability code recording based on fusion perception according to claim 1 is characterized in that: The training process of the inventory recognition model includes: obtaining cargo images as training samples, the cargo images contain real labels of the labeled targets, using the cargo images to train the inventory recognition model, and obtaining the trained inventory recognition model.

5. The method for self-service material collection and traceability code recording based on fusion perception according to claim 1 is characterized in that: The inventory recognition model is the yolov5 recognition model.

6. The method for self-service material collection and traceability code recording based on fusion perception according to claim 1 is characterized in that: The target object is a human body or a transport vehicle.

7. A material self-service collection and traceability code recording system based on fusion perception, characterized in that: include: A monitoring unit, used to detect whether a target object enters or leaves the storage area through a sensing device, and obtain the identity information of the target object, and establish a cargo list according to the identity information of the target object; A cargo inventory unit, which is used to trigger the inventory system to perform a real-time inventory when the target object enters the storage area, and the camera in the inventory system collects cargo images; Input the cargo image into the pre-trained inventory recognition model to obtain the cargo collection information A; Storage unit, when the target object leaves the storage area, the RFID terminal performs a radio frequency inventory of the remaining items in the storage area and obtains the cargo information B with the RFID number.

8. The material self-service collection and traceability code recording system based on fusion perception according to claim 7 is characterized in that: A plurality of groups of shelves are arranged in the storage area, and cameras for collecting images of goods are arranged on the shelves.

9. An electronic device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the steps of the method for self-service material collection and traceability code recording based on fusion perception as described in any one of claims 1 to 6.

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