Deep learning is a class of machine learning algorithms that  uses multiple layers to progressively extract higher-level features from the raw input.

A simple social distance detector using YOLO and OpenCV

Computer Vision & IoT project, OpenCV => YOLO database

An helping hand toward maintaining social distancing in the view of novel covid-19 pandemic

Social Distancing Monitor implemented using MobileNet SSD_v2.

Making a social distancing device

This is a social Distancing Model that I created in Tinkercad , feel free to make the changes.

🦠 DOORI - Social Distancing Monitoring Model 🤖, a deep learning computer vision project built with OpenCV using YOLO object detector.

Post-pandemic virtual handshake app

Social Distancing : A deep learning Computer Vision Project With YOLOV3 Object Detection Trained On Coco Dataset

An AI model to detect if people are following social distancing & wearing masks for safety.

An Android sample application which users can chat each other via Bluetooth technology. No Wi-Fi required!

An initiative to measure crowd and ensure safety at various places (restaurants, stores, hospitals, events, etc.) before visiting them.

In this notebook we use OpenCV HOGDescriptor to detect people, calculate their distances from each other and alert if they are close enough.

Social distancing detection, a deep learning computer vision project with yolo object detection using python, OpenCV and YOLOv3 model.

A solution that is more effective to maintain all the required sanitization practices and social distancing norms in public places.

Tata Innoverse SolverHunt 8 Submission. Built a realtime face mask detection and social distancing detector.

Webcam is used to capture the video and detect people in real-time. If people are very close to each other, a red bounding box is displayed around them indicating that they are not maintainting social distance.