Design an Iot based System for Visually Challenged People for Recognition of Human Face

Abstract

In this, the IoT-based framework was designed as an assistive device designed to improve the cognition, interaction, and communication of people with visual challenges (VC) in social encounters. It provides the visually impaired user with a face detection and recognition by eliminating the need for a computer or a laptop. By advancing IoT devices ' processing power and reducing costs, high processing time / power algorithms to IoT devices will be implemented. There is an advanced face detection and recognition system that can operate in a single board machine with a small form factor.The design takes the fixed-size face representation into account, and takes into account different video frames while remaining independent of the length of the image string. Depending on the frame degree of motion / camera blur, scalevariation, and compression artifacts, active weight adaptation theme is implemented so that it is ready to confirm the connectivity assigned to each face case.