Design of an Intelligent Fruit Picking System Based on Machine Vision
This project develops a fruit picking system based on the STM32F103ZET6 microcontroller.The system utilizes sensors and machine vision recognition technology to simulate the automatic picking of ripe fruits from trees.The system controls the movement of the picking manipulator through a motor drive module,accurately completing the picking task.The software design includes both automatic and manual modes,allowing users to choose flexibly.In automatic mode,the system uses an OV7670 camera for image processing,applying the Canny algorithm and Hough Circle Transform to identify fruits.The system combines these with a PID control algorithm to achieve efficient motion control.This system is characterized by high efficiency,stability,strong anti-interference capability,and low cost,providing a high-performance solution for modern fruit picking.
万方数据
维普
