Fattah, Nasihol and Waraswati, Indri Wari and Barkah, Ghali Ahkmad (2023) SISTEM ABSENSI DENGAN DETEKSI WAJAH. Undergraduate thesis, Universitas Muhammadiyah Malang.

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Human facial recognition has become a fast-growing field, with many applications that can be applied in security, such as room entry permits, location surveillance, and searching for individual identities in databases. The purpose of this research is to build an automatic attendance system with face detection based on Raspberry Pi 3, using the Facial Landmark method for facial recognition with facial image input processed using the Haarcascade method, as well as a self-image database with the help of a GUI application. In the face recognition principle there is training data that is used as a dataset to be used as reference data in the face identification process, this system uses 1000 training data on each person. Therefore, the test results show that based on the angle with 7 subjects the user produces an accuracy rate of 100% in normal angles up to 45˚ facial recognition is successful. Tests based on distance with 7 user subjects obtained a percentage of 100% from a distance of 20 to 80 cm facial patterns can be detected, above 100 cm obtained 85.71% sometimes detected sometimes not, from the results of testing this distance it can be concluded that the farther the face distance from the camera, the was not detected and it was concluded that the optimum distance was at a distance of 20cm to 80cm.

Item Type: Thesis (Undergraduate)
Student ID: 201910130311048
Keywords: Face Detection, Facial Landmark, Attendance System
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering > Department of Electrical Engineering (20201)
Depositing User: 201910130311048 ghaliahkmad
Date Deposited: 19 Mar 2024 08:03
Last Modified: 19 Mar 2024 08:03

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