Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Employment of low-cost low-power ARM machines as tracking device for real time vehicle movement

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

Collins, Mark

Paperback

General ComputersProgramming

ISBN10: 3656680744
ISBN13: 9783656680741
Publisher: Grin Verlag
Published: Jun 26 2014
Pages: 70
Weight: 0.23
Height: 0.17 Width: 5.83 Depth: 8.27
Language: English
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.

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