Machine vision and object recognition using neural networks

Abstract

Computer vision is becoming one of the important areas of automation of various human activities. Technical systems today are endowed with the ability to see, and along with the use of neural networks, they are also endowed with the ability to act intelligently. Thus, they are able to see and make the right decisions and actions faster and more accurately than a person. The article discusses the possibility of using machine vision and object recognition technology for industrial automation, describes a convolutional neural network and an object detection algorithm.