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IMPLEMENTASI METODE CENTER SCAN UNTUK IDENTIFIKASI POLA EKSPRESI WAJAH PADA ROBOT PENGANTAR OBAT

Pratama, Muhammad Septian - Personal Name;

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Face identification is a form of Machine Learning application, specifically using Deep Learning, that is commonly encountered in our daily lives. In its implementation, there are many algorithms used, and those employed in image processing for embedded schemes must be able to operate effectively on the intended hardware system. One example of such an algorithm is the Weightless Neural Network (WNN). This study aims to detect static faces using the Haar-Cascade Classifier method, implement the Weightless Neural Network (WNN) method on a robot to identify the eyes and mouth on a static face, and enable facial recognition by capturing only the eye and mouth regions of the person being identified. The Weightless Neural Network Face Recognition Algorithm is a derivative of the WiSARD Algorithm, which focuses solely on processing facial data binary data grouped into multiple N-tuple memory units. In practice, this approach is often found in tools such as smartphones or PCs. It is also frequently implemented in robotic systems using a Raspberry Pi as the control center, supported by a microcontroller such as the Arduino Mega. The test results of this study show good performance in recognizing facial expressions, with an average accuracy of 87.96%. The expression with the highest recognition rate was “wide-open mouth” (97.34%), while the lowest accuracy was recorded for the “smiling mouth” expression (72.56%).

Availability

Inventory Code	Barcode	Call Number	Location	Status
2507005343	T182401	T1824012025	Central Library (Reference)	Available but not for loan - Not for Loan

Detail Information

Series Title: -
Call Number: T1824012025
Publisher: Indralaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2025
Collation: xvi, 125 hlm.; ilus.; tab.; 29cm
Language: Indonesia
ISBN/ISSN: -
Classification: 004.07
Content Type: Text
Media Type: unmediated
Carrier Type: -
Edition: -
Subject(s): Prodi Sistem Komputer
Weightless Neural Network
Specific Detail Info: -
Statement of Responsibility: KA

Other version/related

Title	Edition	Language
PENGENALAN WAJAH PADA PLATFORM EMBEDDED MELALUI IDENTIFIKASI MATA DAN HIDUNG MENGGUNAKAN METODE WEIGHTLESS NEURAL NETWORK.		id
IMPLEMENTASI PENGENALAN WAJAH PADA MIKROKONTROLLER DENGAN METODE WEIGHTLESS NEURAL NETWORKS DENGAN IDENTIFIKASI MATA DAN MULUT		id
SISTEM PENGENALAN EKSPRESI CIRI WAJAH MATA DAN HIDUNG MENGGUNAKAN METODE WEIGHTLESS NEURAL NETWORK IMMEDIATE SCAN PADA MOBILE ROBOTIC		id

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IMPLEMENTASI METODE CENTER SCAN UNTUK IDENTIFIKASI POLA EKSPRESI WAJAH PADA ROBOT PENGANTAR OBAT

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