Detection of ATM Users’ Helmet with Mini PC Raspberry Pi- Based Template Matching Method
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International Journal of Computer & Organization Trends (IJCOT) |  |
| © 2017 by IJCOT Journal | ||
| Volume - 8 Issue - 1 |
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| Year of Publication : 2018 | ||
| Authors : Derisma, Fikral Farhan, Firdaus |
Citation
Derisma, Fikral Farhan, Firdaus "Detection of ATM Users’ Helmet with Mini PC Raspberry Pi- Based Template Matching Method", International Journal of Computer & organization Trends (IJCOT), V8(1):15-18 January - February 2018, ISSN:2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.
AbstractOne of the rules into the room ATM (Automatic Teller Machine) is the prohibition of using a helmet. To avoid violation on the helmet rule, a system to detect and limit the movement of helmet users who are going to enter ATM room is needed. The design of this system consists of Raspberry Pi, Raspberry Pi Camera and Servo Motor. For decision-making, the system uses Template Matching Method in performing image processing. The system is able to distinguish helmet users and non-helmet users form the value of template matching helmet. The average success rate of indoor helmet detection reached 100%, while the outdoors test reached 62.5%, 37.5%, and 75% respectively with different helmet type and colors.
References
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Keywords
ATM, template matching, image processing, helmet detection