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Optimizing the AI Traffic Speed Detector

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27 Jan 2021CPOL7 min read 9.4K   9  
In this article, we explore the different ways of measuring vehicle speed and the different Deep Learning models for object detection that can be used in our TrafficCV program.
Here we show how to implement in Python a vehicle "speed trap" using object detection via the various computer vision and Deep Learning models, coupled with a procedure for calibrating the physical constants for converting distance and time intervals.

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This article is part of the series 'AI on the Edge: Traffic Speed Detection 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
Software Developer
Trinidad and Tobago Trinidad and Tobago
I've been programming computers as a hobby and professionally for more than 20 years. I like both Windows and Linux. My current areas of interest are computer security, machine learning, conversational user interfaces, and .NET HPC.

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