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Hybrid Edge AI for Facial Recognition: Next Steps

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4 Aug 2021CPOL5 min read
In this article, we’ll discuss some aspects of developing a facial recognition system from scratch.
Here we state the task of developing an AI face recognition system from scratch and suggest some practical examples when it would be a better solution. Then we give base stages and provide references to the resources on how to develop main ingredients of the system: detection and recognition neural networks. Finally, we give some thoughts on how to improve some parts of the system and summarize the series.


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This article is part of the series 'Hybrid Edge AI for Facial Recognition View All


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

Written By
Team Leader VIPAKS
Russian Federation Russian Federation

Master’s degree in Mechanics.

PhD degree in Mathematics and Physics.


15 years’ experience in developing scientific programs
(C#, C++, Delphi, Java, Fortran).


Mathematical modeling, symbolic computer algebra, numerical methods, 3D geometry modeling, artificial intelligence, differential equations, boundary value problems.

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