Social Distance Analyzer using OpenCV and YOLO

Social Distance Analyzer using OpenCV and YOLO

In past DL/AI technology is shown a very promising results on our daily life problem. in many ways this will make our life easy. so lets get started and know that how I build a social distance analyzer using computer vision, python, and object detection using YOLO algorithm. Social Distance Analyzer using OpenCV and YOLO

In the fight against the covid-19 pandemic, social distancing, contactless meetings, wearing mask all are proven to be very effective measure to slow down the spread of the virus. social distancing is the one of the best way to prevent from virus. people asked to keep distance of at least 6 feetform other to stop the spread of a virus.

In past DL/AI technology is shown a very promising results on our daily life problem. in many ways this will make our life easy. so lets get started and know that how I build a social distance analyzer using computer vision, python, and object detection using YOLO algorithm.

Introduction

what is social distancing??

Social distancing, also called physical distancing, is a measures intended to prevent the spread of a contagious disease by maintaining a physical distance between people.

Here, we can use a OpenCV and YOLO to analyze or monitor whether the people are in distance or not.

Techniques and Tools

I’ve used python as a programming language and OpenCV and YOLO for computer vision.

Little Theory ;)

So let’s start with a OpenCV

opencv social-distance deep-learning python yolo

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