Using Python to monitor social distancing
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Updated
Dec 8, 2022 - Python
Using Python to monitor social distancing
Social distance detection , a deep learning computer vision project with yolo object detection
A social distancing detector built with OpenCV using YOLO object 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.
Tata Innoverse SolverHunt 8 Submission. Built a realtime face mask detection and social distancing detector.
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.
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.
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!
A simple social distance detector using YOLO and OpenCV
Deep learning is a class of machine learning algorithms that uses multiple layers to progressively extract higher-level features from the raw input.
Making a social distancing device
An helping hand toward maintaining social distancing in the view of novel covid-19 pandemic
Social Distancing Monitor implemented using MobileNet SSD_v2.
This is a social Distancing Model that I created in Tinkercad , feel free to make the changes.
Add a description, image, and links to the socialdistancing topic page so that developers can more easily learn about it.
To associate your repository with the socialdistancing topic, visit your repo's landing page and select "manage topics."