Wireless Hand Geture Control Robot with Object Detection

Abstract

This study uses image processing and Internet of Things (IoT) technology to demonstrate a wireless hand gesture control robot with object identification. Users can remotely operate a robot using hand gestures that are photographed by a camera and analyzed using machine learning algorithms and image processing methods for gesture identification. The system has object detection capabilities as well, allowing the robot to find and recognize items in its environment. In order to allow users to construct their own gestures and instructions, the suggested system is made to be adaptive and versatile. Additionally, it incorporates Internet of Things (IoT) technology, enabling remote control and supervision of the robot via a web-based interface or a mobile application. The system offers a distinct and user-friendly interface and has potential uses in home automation, surveillance, and remote exploration.