TY  - BOOK
AU  - Abedante, John Paul G., author.
AU  - Arayata, Diane P., adviser.
AU  - Cielo, Fernando M., critic.
TI  - Facial Recognition System for Car Ignition using OpenCV, DLIB Framework and Raspberry Pi 3 Model B
AV  - UM TK 7870 E88 2017
PY  - 2018///
CY  - Rosario, Cavite
PB  - Cavite State University-CCAT Campus
KW  - Human face recognition
KW  - Facial recognition
KW  - Amperage draw
KW  - Face recognition algorithm
KW  - DLIB framework
KW  - Raspberry Pi
KW  - Face detection
KW  - Car ignition
N1  - Design Project (BSCpE)--Cavite State University-CCAT Campus, 2018; Includes bibliographical references and appendices
N2  - ABENDANTE, JOHN PAUL G. Facial Recognition System for Car Ignition using OpenCV, DLIB Framework and Raspberry Pi 3 Model B. Design Project. Department of Engineering. Cavite State University-Cavite College of Arts and Trades Campus, Rosario, Cavite. June 2018. Adviser: Mrs. Diane P. Arayata. Technical adviser: Fernando M. Cielo.

The study was conducted from May 2017 to March 2018 to create a system to ignite a car engine using facial recognition. Specifically, the study aimed to: 1) develop a device that will manage the car’s ignition without the use of a key; 2) evaluate the speed of the system’s initialization; 3) conduct an accuracy test for the face recognition system; 4) test the device for its durability ; and 5) measure the amperage draw of the device. 

The device was tested by involving 6 participants that were divided into 2 categories the registered and the unregistered individuals. Each subject has undergone 3 consecutive trials. 

The results of the evaluation revealed that the system’s face recognition algorithm used was reliable, but was considered inefficient due to the high initialization time which is about 1 minute. The accuracy is affected by different poses and illumination
ER  -