TY - GEN
T1 - Children-toy robot automatically detect and move to a targeted colored object
AU - Pornpanomchai, Chomtip
AU - Asomnu, Benjawan
AU - Hansompob, Noppawit
AU - Sukvanachaikul, Pattarapond
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/2/8
Y1 - 2016/2/8
N2 - The objective of this paper is to develop both computer hardware and software to help children-toy robot find different colored objects. The system is called "Robot's Eye System or RoES". The RoES consists of 4 main modules, which are: 1) website connection module, 2) system control module, 3) camera processing module, and 4) control robot module. The RoES starts with capturing an image and then analyzes colored objects based on the desired target color. In the situation that the robot cannot detect the color, it will rotate itself 45 degrees then start capturing and processing an image again until it completes 4 rotations. After the robot has discovered the object which is suitable for the user's requirement, the robot will move forward to the object until it is close to the target. Then, the Robot's Eye accomplishes its objective. From the experiment results, the RoES has an accuracy of detecting colored object around 82.5 percent.
AB - The objective of this paper is to develop both computer hardware and software to help children-toy robot find different colored objects. The system is called "Robot's Eye System or RoES". The RoES consists of 4 main modules, which are: 1) website connection module, 2) system control module, 3) camera processing module, and 4) control robot module. The RoES starts with capturing an image and then analyzes colored objects based on the desired target color. In the situation that the robot cannot detect the color, it will rotate itself 45 degrees then start capturing and processing an image again until it completes 4 rotations. After the robot has discovered the object which is suitable for the user's requirement, the robot will move forward to the object until it is close to the target. Then, the Robot's Eye accomplishes its objective. From the experiment results, the RoES has an accuracy of detecting colored object around 82.5 percent.
KW - Children-Toy Robot
KW - Color Detection
KW - Image Processing
KW - Raspberry Pi
UR - https://www.scopus.com/pages/publications/84964325626
U2 - 10.1109/ICSEC.2015.7401393
DO - 10.1109/ICSEC.2015.7401393
M3 - Conference contribution
AN - SCOPUS:84964325626
T3 - ICSEC 2015 - 19th International Computer Science and Engineering Conference: Hybrid Cloud Computing: A New Approach for Big Data Era
BT - ICSEC 2015 - 19th International Computer Science and Engineering Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th International Computer Science and Engineering Conference, ICSEC 2015
Y2 - 23 November 2015 through 26 November 2015
ER -