Development of a Real-Time Facemask Detector Using YOLOv4 Object Detection Model and OpenCV / (Record no. 28084)

MARC details
000 -LEADER
fixed length control field 02506ntm a2200277 i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20231021150022.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230823s2022 |||a|||| bm|| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency TUPM
Language of cataloging eng
Transcribing agency TUPM
Description conventions rda
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number BTH QA 76
Item number D45 2022
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name De Leon, Christian Noel U.
245 10 - TITLE STATEMENT
Title Development of a Real-Time Facemask Detector Using YOLOv4 Object Detection Model and OpenCV /
Statement of responsibility, etc. Christian Noel U. De Leon, Ronald Andrie G. Mutuc, Jomari L. Tagra.
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Manila :
Name of producer, publisher, distributor, manufacturer Technological University of the Philippines,
Date of production, publication, distribution, manufacture, or copyright notice 2022.
300 ## - PHYSICAL DESCRIPTION
Extent x, 100 pages :
Other physical details illustrations ;
Dimensions 28 cm. +
Accompanying material 1 CD-ROM (4 3/4 in.)
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term volume
500 ## - GENERAL NOTE
General note Thesis (Undergraduate)
502 ## - DISSERTATION NOTE
Dissertation note College of Science --
Degree type Bachelor of Science in Computer Science,
Name of granting institution Technological University of the Philippines,
Year degree granted 2022.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references.
520 3# - SUMMARY, ETC.
Summary, etc. COVID-19 began more than 2 years ago and is still a threat to human lives today. One of the most important preventive measures that is still being implemented today is the wearing of facemasks. The general objective of the study is geared towards the development of real-time facemask detector entitled "Real-time Facemask Detector Using YOLOv4 Object Detection Model and OpenCV". The real-time facemask detector model was built using predefined weights of YOLOv4 and uncompressed version of CSPDarknet-53 with 53 convolutional layers serving as a backbone. The model will recognize whether the subject is wearing a facemask, incorrectly wearing one, or none at all. The model also used 856 images per class for training. Throughout the project development, the researchers followed the Agile methodology. While in testing, Portability and Reliability testing was performed then evaluated by different people from all age group. The result showed that the software can detect a 416x416 frame with a mean average precision of 94.60% in a class containing Correct facemasks, 60.47% in Incorrect, and 85.10% in no facemask. Furthermore, the system got an overall mean of 3.59 or "Highly Acceptable" rating from the thirty (30) respondents. The developed system is meant to provide aid to frontline workers who are in patrol implementing the basic health protocols.--Author's Abstract
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Facemasks -- Detection.
-- Facemasks -- Recognition.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Mutuc, Ronald Andrie G.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Tagra, Jomari L.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Bachelor's Thesis COS
Suppress in OPAC No
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Inventory number Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type Public note
    Library of Congress Classification     TUP Manila Library TUP Manila Library Thesis Section-2nd floor 08/23/2023 BTH-3254   BTH QA 76 D45 2022 BTH0003254 08/23/2023 c.1 08/23/2023 Bachelor's Thesis COS For Room Use Only



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