The core technologies of machine vision include image acquisition, image pre-processing, feature extraction, target detection and recognition, etc. First, machine vision needs to obtain the image through devices such as cameras, and then preprocess the image, including denoising, enhancement, geometric correction, etc., to eliminate the interference and noise in the image. Object detection and recognition is one of the important tasks of machine vision. By training models and using machine learning algorithms, machine vision can identify and locate target objects in the image, such as faces, vehicles, product defects, and so on. This provides very valuable applications for automated production, intelligent security and intelligent transportation. The development of machine vision technology benefits from the improvement of computer computing power, the improvement of sensor technology and the development of artificial intelligence technology such as deep learning. These advances have led to significant improvements in accuracy, real-time, and adaptability.