Social Distancing Monitoring Application

Theme-Name : AtmaNirbhar Bharat

Application-Type : Web Application

Description

Idea-Description : We are going to develop a ”Social Distancing Monitoring” application with the help of image processing technology. This application can handle 3 different types of input. It can work on image, recorded video and also with realtime cctv camera. We will be using COCO dataset for image classsification and labeling. We will be using yolo v3 Algorithm for getting the best confidence level. When ever people violate social distancing a beep sound will be given to the people to check their social distancing.

Working : Initially we will be identifying people from the given any forms of input. Then a rectangular frame is drawn arround the people. Each rectangle will be indexed from 0 to n. We will be defining a threshold for the distance. Now the threshold will be compared with each and every rectangular frame from the center of it. If the distance falls below the defined threshold they will be put on a list and the other who’s distance is greater than the defined threshold will be put on a seperate list. The people who falls in violating list will be highlighted with red rectangular frame and a beep sound will be given untill they maintain proper distancing. Now the people who are all following will be highlighted with green rectangular frame. The output frame also shows number of people in danger, safe, and low risk people. The accuracy is very high in using this algorithm and the time taken for detection is very low.

Tech-Stack : Artificial Intelligence and Image Processing

GitHub-Link : https://github.com/jenith-hue/Code_Hard

Video-Link : https://drive.google.com/file/d/1f4nypju3RZMV3yuhtwNiGR-Q-FE5vi4l/view?usp=sharing

Jenith

Role-In-Team : Algorithm Designer

Working-Stack : Image Processing

University/School : St.Joseph’s College of Engineering

Hasitha

Role-In-Team : Algorithm Designer

Working-Stack : Image Processing

University/School : St.Joseph’s College of Engineering

Rathi

Role-In-Team : Front-End Developer

Working-Stack : Python

University/School : St.Joseph’s College of Engineering

Preethi

Role-In-Team : Back-End Developer

Working-Stack : Python

University/School : St.Joseph’s College of Engineering