Employment of low-cost low-power ARM machines as tracking device for real time vehicle movement

By:

Mark Collins

Format:

Paperback / softback

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Description

Bachelor Thesis from the year 2013 in the subject Computer Science - Technical Computer Science, grade: 69, University of Lincoln (School of Computer Science), course: Computer Science, language: English, abstract: This undergraduate Bachelor Thesis examines the use of a raspberry pi towards a real-time computer vision system. Advances in technology in recent years have steadily increased computational performance, ushering in the availability of affordable powerful, single board micro systems. This project attempts to showcase an application of low cost hardware for performing modern computer vision algorithms, paired with imaging sensors to emulate an embedded system. In order to achieve this goal, the project must demonstrate background learning, object detection, and establish methods for monitoring the real time movement of pedestrians and vehicles on a road. The implementation will make use of a Raspberry Pi type Model B as the main piece of computational hardware to be employed to an IP camera.

Release date Australia

June 26th, 2014

Author

Mark Collins

Audience

General (US: Trade)

Imprint

Grin Publishing

Pages

Publisher

Grin Publishing

Dimensions

148x210x4

ISBN-13

9783656680741

Product ID

22581252

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