AI Social Distancing Detector: Improving People Detection With Yolo Object Detection

Dawid Borycki

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11 Dec 2020CPOL6 min read

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In this last article of the series, we improve our Python console application for AI-powered social distancing detection.

Here we implement the final version of our application to indicate people violating social distancing rules, given an image from a camera or a video file.

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This article is part of the series 'AI Social Distancing Detector ◁ Prev View All

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

Written By

Dawid Borycki

United States

Dawid Borycki is a software engineer and biomedical researcher with extensive experience in Microsoft technologies. He has completed a broad range of challenging projects involving the development of software for device prototypes (mostly medical equipment), embedded device interfacing, and desktop and mobile programming. Borycki is an author of two Microsoft Press books: “Programming for Mixed Reality (2018)” and “Programming for the Internet of Things (2017).”

AI Social Distancing Detector: Improving People Detection With Yolo Object Detection

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