social-distancing

A social distancing analyzer AI tool to regulate social distancing protocol using video surveillance of CCTV cameras and drones. Social Distancing Analyser to prevent COVID19

Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.

Social Distancing Detector using deep learning and capable to run on edge AI devices such as NVIDIA Jetson, Google Coral, and more.

Code for estimating social distances from RGB cameras.

Classifying people as high risk and low risk based on their distance to other people.

Considering the big change that the world is facing, as well as our lives due to the COVID-19, we provide to people and companies a complete open-source tool to analyze the social distancing for streets, parks, offices, and even crowded places like malls, train stations, and others.

An AI Tool to Help Customers Monitor Social Distancing in the Workplace.

System integrated with YOLOv4 and Deep SORT for real-time crowd monitoring, then perform crowd analysis. The system is able to monitor for abnormal crowd activity, social distance violation and restricted entry. The other part of the system can then process crowd movement data into optical flow, heatmap and energy graph.

Social distance monitoring in real-time with an IP camera. Optimized for better performance with threading.

Monitor people violating Social Distancing or not wearing Face Masks in public through CCTV footage.

A Vision-based Social Distancing and Critical Density Detection System for COVID-19

I developed a computer vision project that measures the distance between people to check whether a specific distance exists between them or not.

Out-of-the-box code and models for social distancing early forecasting.

Automates the process of finding delivery slots in BigBasket during the Covid-19 chaos.

MonoLoco++ and MonStereo for 3D localization, orientation, bounding box dimensions and social distancing from monocular and / or stereo images. PyTorch Official Implementation.

Multi-person 3D panoramic localization tracking

Computer Vision and AI to detect if people are at a specific distance and adhere to social distancing or not.

The project that detects the interpersonal social distance from videos using YOLOv3

Codes for the paper "A Time-dependent SIR model for COVID-19 with Undetectable Infected Persons"