Artificial intelligence cloud computing display rack goods shelf goods and label monitoring and goods storage method

Abstract

The invention discloses an artificial intelligence cloud computing display rack goods shelf goods and label monitoring and goods storage method. The system comprises an industrial digital camera provided with a micro-processing unit, the industrial digital camera is used for capturing images of a shelf and a storage area of the showing stand. Each captured storage area is internally provided withimages of a plurality of targets at non-fixed positions, and the images comprise images of three monitoring targets, namely (1) images for storing various goods commodities, (2) images with bar codes,two-dimensional codes or font labels of goods commodity information, and (3) images with goods storage area position labels; captured images can be transmitted to the micro-processing unit from the industrial digital camera; the micro-processing unit transmits the images to the wired / wireless network communicator, the images are transmitted to the local router / demodulator through a wired / wirelessnetwork local network, the local router / demodulator transmits the images to the cloud computing server through the Internet, and the cloud server transmits the images to an artificial intelligence calculator.

Description

technical field [0001] The invention relates to the field of electronic information technology, in particular to an artificial intelligence cloud computing display rack shelf goods and label monitoring and storage goods method. Background technique [0002] In many different situations, in retail stores, merchandise is placed on display shelves so that customers can choose what they want to buy. In an in-line warehouse, raw materials, semi-finished products, and finished goods are stored on shelves or in storage areas for easy access. A barcode, QR code, or font label with information, usually placed on a shelf or storage area, to indicate what the item, work in progress, or material is. There is also a label for the location of the cargo storage area to indicate the location of the storage area. Due to the high costs associated, radio frequency identification RFID may not be used to indicate item information, and retail stores require visual font labels for customers to r...

AI Technical Summary

Problems solved by technology

[0003] When it is required to monitor large displays, shelves or storage areas, with multiple non-fixed positions of goods, goods and labels, the usual method is to use a large number of operators to manually scan the codes of goods, and regularly check the possible movement on these displays or shelves. location of goods, where humans perform the task of storing or retrieving goods from shelves or storage areas, these tasks are labor-intensive

Usually due to operator error, incorrect scanning, wrong cargo information, resulting in the category and quantity of the placed cargo, the information on the label of the cargo, does not match the category and quantity of the cargo in the computer inventory database, enterprise resource planning system ERP

In addition, the position of the label and the location of the item may shift on the shelf or in the storage area, with the incorrect label placed next to the incorrect item

On the production line, this incorrect inventory information can cause significant production delays and reduce overall production efficiency

In a retail store, incorrect product information can cause customers to be very dissatisfied with the shopping process

[0004] In addition, due to limited time, limited operator resources, and the additional high cost of real-time communication, incorrect information about moving goods on shelves is often not immediately shared with all members of the management team

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