ANALYZING THE OPERATION PRINCIPLES OF CAMERA VISION SYSTEMS

Abstract

Interest in the self-determination in the territory, decision-making and automatic control systems is increasing day by day. This interest is mostly explained by the desire to build self- controlled systems in machine building. Due to large investments, a lot of work has been done in this area. Here, the achievements of such giants as the American company Tesla already known for its innovative and revolutionary technologies, and the German leading carmaker company BMW should be noted which have already come up with conceptual models of self- governing vehicles with good results. And Uber, the company offering the most widespread transportation services in the world, has already put into operation over 1,000 cars without a driver, with thorough decision-making and automatic control systems which successfully overcome the problems they are facing, transporting passengers and cargo uninterruptedly. In addition to automobiles, these automation systems have also been used in the drones, and the American army has come up with its new program, according to which the drones that self- identify, recognize and track the opponents must be put into mass production which will also have the opportunity to eliminate the enemy in case of receiving an order. The test version produced several thousand drones and during the organized testing, they detected and destroyed the destinations without any difficulty.

The work lists and comprehensively discusses the most widely used Camera vision detection and recognition systems. It contains a thorough observation of advantages and disadvantages of the proposed solutions.