Classifying people as high risk and low risk based on their distance to other people.
-
Updated
May 7, 2024 - Python
Classifying people as high risk and low risk based on their distance to other people.
Social Distancing Detector using deep learning and capable to run on edge AI devices such as NVIDIA Jetson, Google Coral, and more.
Computer Vision and AI to detect if people are at a specific distance and adhere to social distancing or not.
I developed a computer vision project that measures the distance between people to check whether a specific distance exists between them or not.
Tata_Innoverse_SolverHunt8 Submission , Real time face mask detection and social distancing detector
Deeplearning based Social Distancing Detection using camera
Used Yolact++ to implement social distance monitoring.
The app that helps you with social distancing using Bluetooth-Low-Energy and Vue.js-cordova combination
In response to social distancing measures during COVID-19 pandemic, it has been imposed to limit the number of people in almost every location and educational institutions are not exempted to it. Hence the idea of counting the actual number of people inside the building became a requirement.
COVID Norms Monitoring - Mask and Social Distancing
automated social distancing monitoring system
We aim to provide an efficient and streamline way to solve the risky situation pertaining to social distancing in view of the pandemic
Using 3D Cameras to Monitor Social Distancing
Tracking crowd social distancing with computer vision managed through a securely-stored blockchain system.
A dashboard for monitoring 1 meter social distancing for outdoor areas using computer vision
Using Python to monitor social distancing.
Design and realization of an embedded device used for social distancing, with the further development of a smartphone application using Flutter toolkit.
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.
Social Distancing Monitor implemented using MobileNet SSD_v2.
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. …
Add a description, image, and links to the social-distance-monitoring topic page so that developers can more easily learn about it.
To associate your repository with the social-distance-monitoring topic, visit your repo's landing page and select "manage topics."