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]
