MobileNet SSD with Caffe implementation for person detection algorithm.

Social Distancing Violation Detection System that employs computer vision algorithms to detect violations of social distancing guidelines in real time.

Tracks and detects social distancing between people

Covision is an AI solution to make sure that proper regulations are followed as COVID-19 vaccines are distributed, using computer vision techniques like mask detection, social distancing detection and a smart queueing system.

A social distancing detector built with OpenCV using YOLO(COCO model) object detector

A simple system to detect distance between individuals and flag if individuals violates minimum social distance required.

YOLO-powered Smart Human Motion Analysis is a cutting-edge project leveraging YOLO (You Only Look Once) for real-time object detection. This repository provides a robust solution for accurately tracking and analyzing human motions, offering a versatile tool for applications in sports, healthcare, and surveillance.

COVID Norms Monitoring - Mask and Social Distancing

The project attempts to create a program that, using face detection, checks the distance between people and communicates when this distance is exceeded. The information is transmitted in real-time to the recipient via a tablet or phone. An additional function of the program is the detection of tags and the notification of entering a dangerous space

Python code that examines social distance and warns in cases of violation.

SmartyzeDetect API Server documentation and user guide

Social Distancing Confirming using OpenCV Python

Project in data learning in real time systems laboratory in summer semester 2020

Social Distancing plays a vital role to slow down the spread of COVID-19, This gadget helps to track social distancing automatically. This social distancing detector system will detect if someone comes closer to you i.e if a person comes within 6 feet distance it will indicate danger.

Real-time mask and social distancing detection system built with Python and Darknet YOLOv4-tiny

Implement a real time Social Distancing detector which can identify the distance between two individuals in a crowd. ❖ Below resources are just for references you can use any library/approach to achieve the goal. ❖ Resources: link1 link2 ❖ Task submission: 1. Host the code on GitHub Repository (public). Record the code and output in a video. Pos…

A deep learning based model for detecting masks over faces in public place to curtail community spread of Coronavirus is presented.