RECOGNITION OF OBJECTS WITH THE HELP COMPUTER VISION TECHNOLOGY

Abstract

Object detection for computer vision is one of the key factors for understanding events. The exact identification of an object against a background where there are a large number of objects of similar shape remains a difficult task today. The military's use of technology to enhance and create vision plays a key role in shaping modern security. Computer vision technologies are used to give safe meaning to everyday sociality, battlefields, and many other areas of society. The article examines the development of military-specific capabilities in the context of the use of computer vision. Object recognition using computer vision technologies is necessary for next-generation military operations management that interacts with the corresponding technologies. Object recognition using computer vision technologies is the basis of most software and artificial intelligence programs. It is predicted that the use of the latest computer vision technologies will increase. Detection of objects is important and necessary in the fields of defense capability, security, military affairs, transport, etc. A study of UAVs was conducted and their limitations were determined. The article presents the image preprocessing algorithm. The image segmentation method is used in the work. Threshold segmentation processes and divides the image into regions according to threshold values. Such a method usually has specific assumptions that depend on the image in question. The fixed threshold method segments the image by setting a custom threshold. This method is usually used in binary images. The formula for determining the label of the area after the marginal transformation for a fixed threshold of image segmentation is given.