International Journal of Mechanical Engineering

This paper mainly explores the design and application of an embedded machine vision inspection system developed based on the STM32 platform. By integrating efficient image processing algorithms with the STM32 embedded processing platform, the system can realize fast and accurate online inspection of components in industrial production. The core advantages of the system lie in its low power consumption and high performance, making it suitable for application in embedded environments with limited resources. Practical verification shows that the machine vision inspection system based on this platform can improve production efficiency and product quality, reduce manual intervention, and provide reliable technical support for intelligent manufacturing. This paper also analyzes the hardware and software architecture of the system, the selection of image processing algorithms and their optimization methods, and demonstrates the application effects in actual production.

STM32; Embedded system; Machine vision; Image processing; Industrial inspection