Design and construction of face detection mobile robot
The Objective of this thesis project is to build a mobile robot which can differ human from its surrounding by using face detection. This thesis will use webcam as the source to capture frame needed to apply face detection program. The face detection program used is based on haar-classifier library. The frame captured by the camera will be processed using Qt and OpenCV as the compiler. Qt and OpenCV will differentiate between human face and surrounding, then it will give output via serial port to a wireless device known as Xbee coordinator. Xbee coordinator will send data wirelessly to Xbee End Device, which will be connected to a microcontroller AVR atmega8535. The microcontroller will drive 2 servomotors and 1 stepper motor to adjust the mobile robot position and give feedback position to the laptop in order to move the robot closer to the face target.
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