In this paper we are developing a volume controller in which we are using hand gestures as the input to control the system , Opencv module is basically used in this implementation to control the gestures.This system basically uses the web camera to record or capture the images /videos and accordingly on the basis of the input, the volume of the system is controlled by this application. The main function is to increase and decrease the volume of the system. The project is implemented using Python, OpenCV. We can use our hand gestures to control the basic operation of a computer like increasing and decreasing volume. Therefore ,people will not have to learn machine-like skills which are a burden most of the time.This type of hand gesture systems provides a natural and innovative modern way of non verbal communication. These systems has a wide area of application in human computer interaction. The purpose of this project is to discuss a volume control using hand gesture recognition system based on detection of hand gestures. In this the system is consist of a high resolution camera to recognise the gesture taken as input by the user. The main goal of hand gesture recognition is to create a system which can identify the human hand gestures and use same input as the information for controlling the device and by using real time gesture recognition specific user can control a computer by using hand gesture in front of a system video camera linked to a computer. In this project we are developing a hand gesture volume controller system with the help of OpenCV ,Python. In this system can be controlled by hand gesture without making use of the keyboard and mouse.

Keywords : Hand gesture ,Opencv-Python, volume controller, mediapipe package , numpy package , Human computer Interface.