Classifying people as high risk and low risk based on their distance to other people.
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Updated
May 7, 2024 - Python
Classifying people as high risk and low risk based on their distance to other people.
Social distance monitoring in real-time with an IP camera. Optimized for better performance with threading.
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.
Tracks and detects social distancing between people
Social Distancing Detector using deep learning and capable to run on edge AI devices such as NVIDIA Jetson, Google Coral, and more.
Social Distancing Violation Detection System that employs computer vision algorithms to detect violations of social distancing guidelines in real time.
Used Yolact++ to implement social distance monitoring.
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
SmartyzeDetect API Server documentation and user guide
Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.
Python code that examines social distance and warns in cases of violation.
Real-time mask and social distancing detection system built with Python and Darknet YOLOv4-tiny
Deeplearning based Social Distancing Detection using camera
An AI Tool to Help Customers Monitor Social Distancing in the Workplace.
Covid-19 Social Distancing Reminder
The app that helps you with social distancing using Bluetooth-Low-Energy and Vue.js-cordova combination
Computer vision has opened up a lot of opportunities to explore into AI domain that were earlier highly limited. Here is an application of haarcascade classifier and OpenCV to develop a social distancing violation detector. I am passing the algo through a video feed where it first detects people using 'haarcascade_fullbody.xml' classifier algo. …
A deep learning based model for detecting masks over faces in public place to curtail community spread of Coronavirus is presented.
Abstract: The paper presents a methodology for social distancing detection using deep learning to evaluate the distance between people to mitigate the impact of this coronavirus pandemic.
This project is used to indicate people violating social distancing rules. Given a video input, the code detects and creates an outline of people violating social distancing rules.
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