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IMPLEMENTASI SISTEM PELACAKAN WAJAH MENGGUNAKAN ALGORITMA FISHERFACE UNTUK NAVIGASI MOBILE ROBOT
Facial Recognition is one of the interesting topics in Computer Vision. The first step to doing facial recognition is face detection. Face detection can be done in real-time or not. There are some difficulties when doing facial recognition, like the difference in lightning levels, the complexity of a face, and the position of the face towards the camera. One method that is quite effective in doing facial recognition is the Fisherface Algorithm. For the implementation, a Raspberry Pi will be used as a Mini Computer that will carry out the face detection and facial recognition. Meanwhile, Arduino will be used as a Mobile Robot actuator to drive Servo Motor and DC Motor. The Mobile Robot that has been designed is expected to be able to track the recognized face. Two servo motors that have been attached to a camera will move according to the position of the face on the camera frame. And two DC motors are used to make the Mobile Robot Move closer to the face to a predetermined limit.
Inventory Code | Barcode | Call Number | Location | Status |
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2007000920 | T40739 | T407392020 | Central Library (REFERENCES) | Available but not for loan - Not for Loan |
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