Hybrid Edge AI Face Detection

Sergey L. Gladkiy

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19 Jul 2021CPOL4 min read

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In this article, we’ll run a pretrained DNN model to detect faces in video.

Here we give a short description of AI face detection libraries, state that we’ll use MTCNN, develop the code for face detection with MTCNN using a pretrained DNN model, and test the detection algorithm.

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

License

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

Written By

Sergey L. Gladkiy

Team Leader VIPAKS

Russian Federation

EDUCATION:

Master’s degree in Mechanics.

PhD degree in Mathematics and Physics.

PROFESSIONAL EXPERIENCE:

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

SCIENTIFIC INTERESTS:

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

Hybrid Edge AI Face Detection

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