Arm-Powered Driver Distraction Detection

Sergey L. Gladkiy

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7 Feb 2022CPOL8 min read

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How to create a driver distraction detector and how to run it on an Arm-powered device like a Raspberry Pi or Jetson Nano

In this article, we demonstrate how straightforward it is to develop an AI computer vision application for a portable Arm-powered device. We choose this solution for practicality since our driver distraction detection system must function autonomously in a driving car. We show that the application can run on the Arm-powered device in real-time mode, reaching about two FPS processing speed.

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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.

Arm-Powered Driver Distraction Detection

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