More AI Traffic Speed Detection With TrafficCV

Allister Beharry

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20 Jan 2021CPOL5 min read

In this article, we focus on developing a computer vision framework that can run the various Machine Learning and neural network models – like SSD MobileNet – on live and recorded vehicle traffic videos.

Here we develop a small computer vision framework that enabled running the various computer vision and Deep Learning models, with different parameters, and comparing their performance.

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This article is part of the series 'AI on the Edge: Traffic Speed Detection ◁ 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

Allister Beharry

Software Developer

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.

More AI Traffic Speed Detection With TrafficCV

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