Object Detection Robot Using Fuzzy Logic Controller Through Image Processing
| Autor: | M. L. Hakim, M Ikhsani, Sigit Yatmono, Ariadie Chandra Nugraha, A Shah, M. Khairudin |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
History
business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing Tracking (particle physics) Object (computer science) Fuzzy logic Motion (physics) Object detection Computer Science Applications Education Image (mathematics) Robot Computer vision Artificial intelligence business |
| Zdroj: | Journal of Physics: Conference Series. 1737:012045 |
| ISSN: | 1742-6596 1742-6588 |
| DOI: | 10.1088/1742-6596/1737/1/012045 |
| Popis: | This study presents a robot movement in tracking 2D objects. This input image is transformed into another image by certain techniques. In this study, by utilizing image processing, the robot can work to detect objects in the form of hexagons. Apart from detecting the detected shape, this image processing is also for detecting color. So that a hexagon-shaped 2D object will be detected with the magenta color that has been set in advance. The movement of this robot is to follow the motion of objects horizontally. While the object is shifted to the right, the robot will move to the right, and if the object is shifted to the left, the robot will move to the left. Robot movement is controlled by fuzzy logic. There are 5 membership functions to divide the object’s position area and 5 membership functions output to adjust the speed and direction of the robot’s motion. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|