Detecting Pests with a Motion Detector and Trained DNN

Sergey L. Gladkiy

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23 Dec 2020CPOL4 min read

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In this article, we’ll show you how to develop a simple motion detector and combine it with the trained DNN model to detect moose on video.

Here we provide and explain the Python code for a simple Motion Detector developed with OpenCV. Then we embed the trained DNN into the motion detector for detecting moose on video.

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This article is part of the series 'Real-time AI Pest Elimination on Edge Devices ◁ 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

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.

Detecting Pests with a Motion Detector and Trained DNN

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