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.
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Updated
Nov 27, 2021 - Python
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.
Using Python to monitor social distancing.
Social Distancing Monitor implemented using MobileNet SSD_v2.
Counting people in a line using computer vision
Computer Vision Social Distance Control
This is an application to monitoring social distance in Python programming language. In practice, we measured the distance between people in the test video and detected those who do not comply with social distance.
An all-in-one platform that allows in-depth monitoring of factories ensuring that workers keep a certain distance between each other while wearing covid-preventive gear (medical masks). The platform's capabilities can be extended to other types of alerts by integrating new models and devices.
Python program to detect social distance violations with simple opencv libraries(HOG)
A computer vision 📹 based object detection application that helps to monitor and detect social distancing in public places
automated social distancing monitoring system
A dashboard for monitoring 1 meter social distancing for outdoor areas using computer vision
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
Used Yolact++ to implement social distance monitoring.
Deeplearning based Social Distancing Detection using camera
I developed a computer vision project that measures the distance between people to check whether a specific distance exists between them or not.
Social Distancing Detector using deep learning and capable to run on edge AI devices such as NVIDIA Jetson, Google Coral, and more.
Classifying people as high risk and low risk based on their distance to other people.
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