Gesture Controlled Robotic Arm Using OpenCV
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Gesture Controlled Robotic Arm Using OpenCV
1]Miss. Sakshi Chandrakant Vanmore, 2]Miss Arpita Tukaram Mali, 3]Miss Prajakta Uttam Patil and 4]Prof. S. S. Kadam
Department of Electronics and Telecommunication ATS’s Sanjay Bhokare Group of Institutes, Miraj
Abstract - The evolution of human-computer interaction has led to the development of intuitive and contactless interfaces, among which gesture-based control stands out due to its natural and user-friendly approach. This project focuses on designing and implementing a gesture- controlled robotic arm that interprets hand gestures in real time and converts them into physical movements of a robotic arm. The system aims to provide a seamless interface between human intent and robotic action, particularly beneficial in areas where touchless control is essential, such as healthcare, hazardous environments, and assistive technology. processed using OpenCV in Python to calculate hand center coordinates and finger positions. The core of the system leverages MediaPipe, a robust machine learning framework developed by Google, to detect and track 21 hand landmarks from a standard webcam feed. These landmarks are By analyzing the number of fingers raised and the location of the palm on the screen.
Key Words: Python, open CV, mediaPipe, pyfirmata, Arduino Uno microcontroller, servo motors, and a custom-built robotic arm