Implementation and Analysis of AI-Based Gesticulation Control for Impaired People

This paper presents an intelligent human PC intuitive framework. In this proposed work, artificial intelligence is utilized for home mechanization, which perceives human motions with the assistance of a camera and performs tasks appropriately. The idea of perceiving the motions depends on three layers: detection, tracking, and recognition. We use a camera-PC interface that can catch the developments, and later use PC vision innovation and AI calculations to comprehend the fundamental example and match the information with a preprepared dataset. When it comes to safes, an extra layer of security is provided by using face recognition, and the safe is opened if the individual is recognized from the dataset.