Prospects for the Application and Development of Computer vision Technologies

Abstract

The paper presents examples from different fields of human activity in which computer vision technology is used. It is analyzed what is machine vision, how it differs from computer vision. The advantages and disadvantages of the technology are touched upon, an overview of the system components and methods for processing machine vision is presented, and the areas in which it is applied are explored. The study shows how relevant and in demand computer vision is, as well as the ways of its progress in the near future. The issues of application of machine vision systems in monitoring the implementation of safety protocols, in quality management are touched upon. Here, machine vision is implemented as an automated visual control and quality control of production processes. The application of computer vision systems in transport for the classification of vehicles, their counting, traffic analysis, detection of traffic violations: speeding, running a red light, not allowing a pedestrian is considered. This improves road safety. Computer vision is used to detect distracted driving: drowsiness, daydreaming, distraction; up to the determination of the sobriety of the driver. The use of computer vision to monitor order in large cities is affected by determining the deviant behavior of citizens.