MOBILE ROBOT PENGIKUT MANUSIA BERDASARKAN FACIAL LANDMARKS POINTS

ANDA, AGUNG JULI and Zarkasi, Ahmad (2020) MOBILE ROBOT PENGIKUT MANUSIA BERDASARKAN FACIAL LANDMARKS POINTS. Undergraduate thesis, Sriwijaya University.

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Abstract

Humans have their own characteristics as differentiators from other humans. In this study, we design a system that can recognize and follow faces as distinguishing features. Where later the system will be implanted into a mobile robot with Raspberry. The system in this study uses the Facial Landmarks Points algorithm to obtain the value of the features on the face that are used as input. The results from the face capture are then processed by the robot so that the robot follows the face. The facial landmarks used are the outer corners of the eyes and nose. With the extracted landmark coordinate values, later the coordinate points at the outer corner of the eye, the middle point between the eye and nose will be connected with lines that will form a triangle. Later, the length of the connecting line will be calculated using the Euclidean Distance formula so that the area of the triangle is obtained. So that we get feature data that will be trained using the Support Vector Machine algorithm so that it can recognize faces. This system has a facial recognition accuracy of 95% and face recognition precision of 90%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Face Detection, Face Recognition, Facial Landmarks, Mobile Robot
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Users 10031 not found.
Date Deposited:	19 Jan 2021 06:11
Last Modified:	19 Jan 2021 06:11
URI:	http://repository.unsri.ac.id/id/eprint/40497

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