| 000 -LEADER |
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01738nam a22002417a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
FT8824 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20251125133323.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
251125b ||||| |||| 00| 0 eng d |
| 041 ## - LANGUAGE CODE |
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| Language code of text/sound track or separate title |
engtag |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
TK7895 A46 2023 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
. |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Alon, Patrick Miguell B.; Calso, Christian Paul R.; Corpuz, Kio B.; Disuanco, Ryan Paul L.; Lajom, Sean Francis D.; Ong, Franz Khyl M. |
| 245 ## - TITLE STATEMENT |
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| Title |
Sentrify: Microcontroller-based surveillance and alarm system efficientyolo-fine for hand signal detection |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
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| Place of production, publication, distribution, manufacture |
. |
| Name of producer, publisher, distributor, manufacturer |
. |
| Date of production, publication, distribution, manufacture, or copyright notice |
c2023 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Other physical details |
Undergraduate Thesis: (Bachelor of Science in Computer Engineering) - Pamantasan ng Lungsod ng Maynila, 2023 |
| 336 ## - CONTENT TYPE |
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| Source |
text |
| Content type term |
text |
| Content type code |
text |
| 337 ## - MEDIA TYPE |
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unmediated |
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unmediated |
| Media type code |
unmediated |
| 338 ## - CARRIER TYPE |
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volume |
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volume |
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volume |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
ABSTRACT: Single Stage Convolutional Neural Networks (CNNs) have been lately dominating the field of object detection due to their real-time inference speeds while exhibiting competitive performance with heavy state-of-the-art multiple-stage models. In this paper, we use CNNs for gesture detection as a public security measure and equip them with microcontrollers to transform detections into meaningful by emitting light and sound signals. Particularly, we use a modified form of YOLOv3 (Redmon & Farhadi, 2018) to target small-scale object detection suited for frames captured from surveillance cameras. We train the model using over custom annotated images and the results demonstrate good generalizability. We integrate the model with ESP8266 and camera module to build a functional alarm system that can alert, record, and send detections using mailing systems. |
| 526 ## - STUDY PROGRAM INFORMATION NOTE |
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| Classification |
Filipiniana |
| 655 ## - INDEX TERM--GENRE/FORM |
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| Genre/form data or focus term |
academic writing |
| 942 ## - ADDED ENTRY ELEMENTS |
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| Source of classification or shelving scheme |
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| Item type |
Thesis/Dissertation |