Real-Time Hand Gesture Recognition for Device Control: An OpenCV-Based Approach to Shape-Based Element Identification and Interaction

A modern, inventive, and natural method of nonverbal communication is offered by a hand gesture recognition system. It can be used in many different contexts, including sign language and human-computer interaction. This implementation's objective is to discuss a novel method of hands gestures recognition based on the identification of certain shape-based elements. A single camera is used to record the user's gesture and feed it into the system. The development of a system that can recognise certain human gestures and use them to transfer data for device control is one of the main goals of gesture recognition. Real-time gesture recognition enables users to control computers by making certain gestures in front of a video monitor. The development of a system that can recognise certain human gestures and use them to communicate data for device control is one of the main objectives of gesture recognition A user can operate a computer by making a certain gesture in front of a video camera that is attached to it by implementing real-time gesture recognition. In this project, we'll build a hand gesture volume control system with the help of the OpenCV module. Here you can use hand gestures to operate the system without a keyboard or mouse.