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Mobile image sensors for object detection using color segmentation |
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| Authors: | Sang-Hoon Kim Young-Sik Jeong |
| Affiliation: | 1. Dept. of Electrical, Electronic and Control Engineering, Hankyong National University, Anseong, Korea 2. Dept. of Multimedia Engineering, Dongkuk University, Seoul, Korea |
| Abstract: | The intelligent mobile robot with sensors and image processing embedded system combines the suction and aerodynamic attraction to achieve good balance between strong adhesion force and high mobility. Experimental results showed that the robot can move upward on the wall at the speed of 2.9 m/min and carry 5 kg payload in addition to 2.5 kg self-weight, which record the highest payload capacity among climbing robots of similar size. It also implements object detection ability using effective color transform and segmentation technique for the exact target detection on the wall using a embedded camera system, communication module and several active sensors. |
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