Self-service vending machine automatic inventory management system and method based on image recognition

Abstract

The invention discloses a self-service vending machine automatic inventory management system and method based on image recognition. The system comprises a self-service vending machine provided with anautomatic lifting platform, and the automatic lifting platform is provided with a camera shooting device capable of shooting goods on the outmost end goods position of a goods channel of a goods supplementing position or a goods selling position; the self-service vending machine, the camera shooting device and the automatic lifting table at each vending position are provided with a local controlsystem, and the local control systems are connected with a cloud service system through the internet. After the camera shooting device shoots images of the outermost end goods of the goods supplementing position or the goods selling position of the self-service vending machine, an on-sale commodity database of the self-service vending machine is updated after the images are recognized to serve asthe latest inventory of the self-service vending machine. The variety of commodities capable of being sold can be greatly increased, and customer-oriented full-automatic inventory intelligent recognition and perception are achieved.

Description

technical field [0001] The invention relates to self-service vending machines, in particular to an image recognition-based automatic inventory management system and method for self-service vending machines. Background technique [0002] Self-service vending machine shopping has become a development trend of new retail. At present, most of the self-service vending machine containers use the front visible glass storage method, and what users see is what they get, which has been widely accepted by consumers. [0003] The self-service vending machine container is composed of multiple shelves, and each shelf is composed of multiple cargo lanes. Common cargo delivery methods in the cargo lanes include spring rotation transmission and conveyor belt transmission. Therefore, no matter which way, most of the goods on the outermost side of the cargo lane can be clearly seen, and effective image recognition can be performed. [0004] The traditional delivery method based on coil sprin...

AI Technical Summary

Problems solved by technology

Of course, the replenishment staff can also enter once after replenishing a lane, but although this reduces entry errors, it will lead to lower replenishment efficiency and longer stand-alone replenishment time, and because most of the containers are For refrigerators, opening the door for a long time to replenish goods will greatly lead to the loss of cooling capacity and consume a lot of energy

In addition, because each replenishment staff has to manage the operation and replenishment of multiple self-service vending machines scattered in different locations, the method of manual replenishment and manual inventory entry takes up a lot of time and is prone to errors. In addition, traditional replenishment Compared with the entry method, the same product is required to be placed in the same aisle. On the one hand, this reduces the types of products that can be sold. On the other hand, it requires replenishers not to mix replenishment, which increases the difficulty of manual classification and thus prolongs the replenishment time.

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