A method for detecting goods entering a warehouse, a storage and entering system, and a storage medium

Abstract

The invention discloses a cargo storage detection method, a storage storage system and a storage medium, and relates to the field of identifying storage storage and storage cargo. The method includes: collecting three-dimensional data of goods to be put into storage through a binocular camera, preprocessing the three-dimensional data, and identifying the three-dimensional data by passing the preprocessed three-dimensional data through a trained deep convolution model For the corresponding product model, obtain the product information barcode according to the product model, and store it in the storage database. The solution of the present invention uses a binocular camera to capture the three-dimensional information of the goods, and uses a deep learning convolution model to automatically and accurately identify the type and model of the goods in storage, ensuring accurate storage information.

Description

technical field [0001] The invention relates to the field of identifying goods in and out of storage, in particular to a method for detecting goods in and out of storage, a storage system and a storage medium. Background technique [0002] With the increasing scale of e-commerce and the development and progress of society, the demand for storage is also increasing. Different from the stacking of ordinary warehouses and the need for more human labor, intelligent warehousing gradually occupies a new direction of development with the characteristics of unmanned, intelligent, and efficient. [0003] In order to be as unmanned and intelligent as possible, intelligent warehousing will carry out intelligent warehouse allocation for the goods in the warehouse. The basis for rational allocation of storage locations and accurate storage information is to accurately enter cargo model information. The cost of using manpower is slightly higher, and misidentification accidents are prone...

AI Technical Summary

Problems solved by technology

The cost of using manpower is slightly higher, and misidentification accidents are prone to occur

Moreover, with the storage capacity of the intelligent warehouse, it is impossible to guarantee that the goods in the warehouse are of the same type and are continuously put into the warehouse, and it is not possible to simply mark them in batches.

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