Artificial intelligence applied to supermarket intelligent replenishment robot based on machine vision

Abstract

Nowadays, the storage and replenishment in supermarkets are still handled manually, which is a large workload, high cost and low efficiency. In this paper, we design an intelligent supermarket replenishment robot based on machine vision, which automatically detects and identifies information of out-of-stock goods, goods location, obstacle location and other information through OpenMV intelligent vision recognition module, and uses python algorithm to realize path selection to move and replenish goods autonomously. It can achieve quantity detection, information acquisition and scientific and reasonable placement of goods to reduce labor costs, improve overall work efficiency and enhance overall customer satisfaction.