| dc.description.abstract | The thesis proposes an image processing technique on a wheel mobile robot to achieve the functions of people following and elevator taking. Concerning the people following, by using the technology of image processing and control strategy, the robot can recognize the master and keep in an appropriate distance between master and robot and follow the master in real time according to the information of sensors adopted from infrared, sonar, wireless communication module (Zigbee) and the device of light. In addition, by using Zigbee, the robot can communicate with the light ball, which is tie in the back of the master, to change its color when there is other same color lights appearing in the vision of the robot such that the master can be recognized continuously.
Concerning the elevator taking, camera captures the image of the elevator environment, including elevator door, elevator panel and elevator button. Using image processing technique and sensors (infrared and sonar) information, the robot can achieve the tasks as follows. 1) Detecting the position of elevator door outside; 2) detecting the position of elevator panel inside; 3) recognizing and pushing the elevator button correctly. Therefore, the robot can recognize, follow people and take elevator successfully. The experiment result is implemented successfully and shown in Chapter 5 of this thesis.
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