Hand Gesture Processing System without Touch

Abstract

The arising savvy innovations have led to another capability called touchless control. The goal of this paper is to make it possible for a user to control electrical appliances without touching any switches, buttons, or sensors. We make use of an embedded touchless hand gesture processing system that is controlled by a HAAR cascade classifier algorithm and a speeded up robust features (SURF) algorithm to accomplish this goal. The proposed framework is worked in an overall mode in which the applianes are worked by all clients, and in a security mode in which the apploiances are worked simply by a confirmed client. The HAAR cascade classifier algorithm was used to process the hand gestures, and the SURF algorithm was used to process the face image. The proposed framework is utilized to ON/OFF the electrical machines as per the hand tokens of the client, even in various lighting conditions.