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- W2339611504 abstract "This research studies the machine vision system and how it may be integrated to assist arobot system with artificial intelligent (Al). This research focuses on building a vision basedfeedback system for robotics application that consists of image processor and twovision-based sensor devices. A robot manipulator controller will drive a single armindustrial robot according to the input from vision system. The feedback system alsofeeds the Artificial Intelligent program necessary information to make the right decision,which is based on rules of a popular game, Tic-Tac-Toe. One of the advantages of thisresearch is that it only uses a low resolution camera and image processing softwaregenerated by the algorithms itself without additional sensors such as sonar or IR sensor.This research developed an improved technique for object recognition and spaceoccupancies determination which not affected by the orientation of the subject. Thisproject also implements colored object recognition technique using its color and sizewithout edge detection process along with a self-calibration technique for detectingobject location without any parameter of the camera by using only two reference points.Finally, a set of experiments to validate the proposed algorithms has been conducted.The algorithms function with success rate from 74% up to 100% and could handle theorientation of a tilted object up to 45 degrees. The result from this research may be usedin manufacturing plant for a robot system equipped with machine vision and artificialintelligent." @default.
- W2339611504 created "2016-06-24" @default.
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- W2339611504 date "2009-01-01" @default.
- W2339611504 modified "2023-09-26" @default.
- W2339611504 title "Vision Based Multi Sensor Feedback System For Robot System With Intelligent" @default.
- W2339611504 hasPublicationYear "2009" @default.
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