Abstract

An accurate and effective object detection and tracking plays an important role in various fields such as defense, surveillance, and autonomous robotics. Accurate detection and tracking of targets can improve safety in the case of defense and surveillance, human-robot interaction, and automation. In this work, a smart system is developed to detect and track objects of interest by using Python with its open-source libraries of computer vision and image/video analysis for detecting the targets while Arduino is used for the interaction with the physical world via actuators. Moreover, the system is designed to be controlled via hand gestures to allow for better human-computer interaction. The results demonstrate the possibility and potential of using computer vision techniques for developing such small-sized systems for various applications of various sizes and complexities rather than only high-end projects.