Helping Aid For Visual Impaired

Abstract

There are millions of people who are visually impaired. Visually impaired people sometime are not able to detect that someone is interacting with them. The system will help visually impaired persons to know with whom he/she is interacting. Artificial Intelligence is getting Facial recognition and it is a way to verify a claim by comparing two photos of faces using computer algorithms. [1] This project helps people who are blind or have low vision are able to become more independent and involved in their communities. This system will develop a machine learning system that can recognize faces to help the visually impaired move freely through their communities. The technology has many applications, such as logging the user into their phone and searching a photo database for a specific person. We are going to make a mobile app which will help user to detect person interacting with them. The Human Interaction Detection System is a computer vision system that uses Artificial Intelligence and Convolutional Neural Networks (CNN) to detect and recognize human interactions in real-time. This system has the ability to track the movements of individuals and analyse the body language to determine the type of interaction that is occurring. The system uses a combination of image processing, feature extraction, and machine learning techniques to achieve high accuracy in detecting various types of interactions, such as handshakes, hugs, and high-fives. This system has potential applications in areas such as security surveillance, human-robot interaction, and social signal processing. [2]