Tri Maryadi, Totok Heru (2008) PENGEMBANGAN PRAKTIKUM ROBOTIKA MENGGUNAKAN PENGENALAN CITRA SEBAGAI ROBOT VISION. In: Seminar Internasional Revitalisasi Pendidikan Kejuruan dalam Pengembangan SDM Nasional, 3-6 Juni 2008, Universitas Negeri Padang.
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Abstract
This article aim to 1) developing subject matter in Robotics lecture practices; 2) developing pattern recognition as robot vision; 3) developing system of pattern recognition by using image processing for reduce mistake of analog and digital electronics circuit; 4) giving contribution in science and technological development, specially in computer informatics system, that is in analyze of pattern recognition method by using web camera. This article step must to do are picture has taken then minimized and imposed by image processing covering grayscale process, noise reduce, thressholding, and edge detection. Output from this process become to input for pattern recognition process what processed using by chain code method. Result from that process then processed to determine command for turn left, turn right or straight on and also to detect of fire in image. On this step is done the examination to get data. Conclusion from this article are 1) system development of robot by using web camera as censor of hardware and also software conducted by research and development, with web camera main circuit, CPU, Minimum microcontroller system and motor drive; 2) system still can make correct decision at strong range of light between 10 lux up to 7000 lux; 3) from result of testing, the difference between performance of system and manually measurement got average 4,07%; 4) robot can move straight on match with mapping planned and going back to home base, though don’t always walk precisely in middle position.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Robot, Citra |
| Subjects: | Teknik & Teknologi > Teknik Elektro |
| Divisions: | Fakultas Teknik (FT) > Pendidikan > Pendidikan Teknik Elektro |
| Depositing User: | Perpustakaan FT |
| Date Deposited: | 24 Oct 2017 01:45 |
| Last Modified: | 24 Oct 2017 04:21 |
| URI: | http://eprints.uny.ac.id/id/eprint/53510 |
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