Facial Recognition System for Car Ignition using OpenCV, DLIB Framework and Raspberry Pi 3 Model B / (Record no. 1771)

MARC details
000 -LEADER
fixed length control field 02487nam a22003257a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220623012635.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220623b ||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Language of cataloging English.
Transcribing agency CvSU-CCAT Campus Library.
Description conventions rda.
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number UM TA 1637
Item number A24 2018
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Abendante, John Paul G., author.
9 (RLIN) 5616
245 ## - TITLE STATEMENT
Title Facial Recognition System for Car Ignition using OpenCV, DLIB Framework and Raspberry Pi 3 Model B /
Statement of responsibility, etc. John Paul G. Abendante
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Rosario, Cavite :
Name of publisher, distributor, etc. Cavite State University-CCAT Campus,
Date of publication, distribution, etc. 2018
300 ## - PHYSICAL DESCRIPTION
Extent xiii, 58 leaves :
Other physical details illustrations ;
Dimensions 28 cm
500 ## - GENERAL NOTE
General note Design Project (BSCpE)--Cavite State University-CCAT Campus, 2018.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and appendices.
520 ## - SUMMARY, ETC.
Thesis Abstract <a href="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: Diane P. Arayata. Technical critic: Fernando M. Cielo. <br/><br/>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. <br/><br/>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. <br/><br/>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.">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: Diane P. Arayata. Technical critic: Fernando M. Cielo. <br/><br/>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. <br/><br/>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. <br/><br/>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.</a>
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Human face recognition.
9 (RLIN) 5617
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Facial recognition.
9 (RLIN) 5618
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Amperage draw.
9 (RLIN) 5619
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Face recognition algorithm.
9 (RLIN) 5620
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element DLIB Framework.
9 (RLIN) 5621
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Raspberry Pi
9 (RLIN) 5622
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Face detection.
9 (RLIN) 5623
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Ca ignition.
9 (RLIN) 5624
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Arayata, Diane P., adviser., adviser
9 (RLIN) 5625
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Cielo, Fernando M., critic.
9 (RLIN) 5626
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Thesis/Manuscripts/Dissertations
Classification part TA 1637
Call number prefix A24 2018
Call number suffix UM
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Library of Congress Classification     Thesis/Manuscript/Dissertation Cavite State University - CCAT Campus Cavite State University - CCAT Campus TH 06/23/2022   UM TA 1637 A24 2018 T004201 06/23/2022 06/23/2022 Thesis/Manuscripts/Dissertations