AI Social Distancing Detector: Object Detection in Video Frames

Dawid Borycki

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7 Dec 2020CPOL2 min read

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In this article, we continue learning how to use AI to build a social distancing detector.

After learning how to employ TensorFlow and a pre-trained MobileNet model, we move forward to combine our detector with a web camera. By the end of this article, you will know how to run object detection on video sequences, as shown below.

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

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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: Object Detection in Video Frames

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