Modification of the method of object contours extraction in intelligent systems

This research paper focuses on the use of computer vision in intelligent systems to analyze human contours. With the growth of technology in various industries, there is a need to improve the efficiency of human-computer systems. The proposed method uses a video camera and computer software to detect a person in the image and process it using the OpenCV library and C++ programming language. The paper reviews existing human detection methods, analyzes an alternative method that uses computer vision, and develops a new method for human detection. Modifications include the use of the Kuwahar filter for image blurring and the Sobel algorithm for outline extraction. Applications for this technology include security at transportation hubs and crowded areas, remote health monitoring, enhanced control at borders and secure facilities, and interactive advertising and entertainment.