Vending machine commodity recognition system based on image processing

Abstract

The invention discloses a vending machine commodity recognition system based on image processing. The vending machine commodity recognition system comprises an automatic vending machine terminal, a server side and a supervision side. The vending machine terminal comprises a vending machine control module, an illumination module, an image acquisition module and a communication module. The server side comprises a server, a database and a commodity identification module; the supervision terminal comprises an operator, maintenance personnel and a management center. The vending machine terminal acquires image information of goods in a goods channel in the vending machine before and after each shopping and replenishment, and sends the acquired to-be-processed image to the server side, the commodity identification module identifies the commodity type and quantity information on the vending machine commodity channel to obtain a final identification result and sends the final identification result to the supervision side, and the supervision side supervises the vending machine. The problem that commodities in the vending machine are placed in an overlapped mode and are difficult to recognize is solved, commodity information in the vending machine can be obtained in real time, and a reliable basis is provided for scientific management and automatic replenishment.

Description

technical field [0001] The invention belongs to the field of automatic vending, in particular to an image processing-based product recognition system for automatic vending machines. Background technique [0002] Under the wave of rapid development of science and technology, human society has gradually entered the era of artificial intelligence from the Internet era, and all walks of life are gradually becoming intelligent. [0003] In the field of vending machines, the application of third-party payment methods has replaced the traditional coin-operated vending machines, greatly reducing costs and improving shopping efficiency. However, the real-time data collection of the types and quantities of goods inside the vending machine still relies on manual labor, which is inaccurate and inefficient. There is a serious data opacity phenomenon, which increases the management cost of the operator and easily causes the loss of the operator's interests. [0004] According to the rese...

AI Technical Summary

Problems solved by technology

However, the real-time data collection of the types and quantities of goods inside the vending machine still relies on manual labor, which is inaccurate and inefficient. There is a serious data opacity phenomenon, which increases the management cost of the operator and easily causes the loss of the operator's interests.

[0004] According to the research of Liang Yongxin and other scholars, at present, the background detection of automatic vending machines is not timely and in place, which leads to the phenomenon that automatic vending machines are easy to be out of stock and out of stock for a long time (Liang Yongxin, Wang Fengyue. Development status and trends of automatic vending machines[J] .Contemporary Economics, 2019, 494(02):82-85.)

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