Design of a Mobile Face Recognition System for Visually Impaired Persons

TL;DR

This paper presents a mobile-based face detection and recognition system designed to assist visually impaired individuals, leveraging computer vision and server support, with promising accuracy demonstrated in tests.

Contribution

It introduces a novel mobile face recognition system specifically tailored for visually impaired users, integrating server support to enhance performance.

Findings

High face detection accuracy achieved

Promising face recognition accuracy in suitable conditions

Challenges remain in difficult lighting and weather conditions

Abstract

It is estimated that 285 million people globally are visually impaired. A majority of these people live in developing countries and are among the elderly population. One of the most difficult tasks faced by the visually impaired is identification of people. While naturally, voice recognition is a common method of identification, it is an intuitive and difficult process. The rise of computation capability of mobile devices gives motivation to develop applications that can assist visually impaired persons. With the availability of mobile devices, these people can be assisted by an additional method of identification through intelligent software based on computer vision techniques. In this paper, we present the design and implementation of a face detection and recognition system for the visually impaired through the use of mobile computing. This mobile system is assisted by a server-based support system. The system was tested on a custom video database. Experiment results show high face detection accuracy and promising face recognition accuracy in suitable conditions. The challenges of the system lie in better recognition techniques for difficult situations in terms of lighting and weather.