RESPOGUARD: development of an anomaly detection system for real-time surveillance in Barangay 294 Binondo, Manila using machine learning/ Justine Lawrence C. Jayoque, Marc Samuel R. Medina, Christian James Pallar, John Paul F. Pasion, and Mark Joseph Emmanuelle A. Venales

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Jayogue, Justin Lawrence C [author ]

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TextPublication details: Manila: Technological University of the Philippines , 2024.Description: x,91pages: 29cm. +1 CD-ROM (3/4in.)Content type:

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BTH QA 76 J39 2024

Dissertation note: College of Science-- Bachelor of Science in Computer Science: Technological University of the Philippines, 2024. Summary: Respoguard is an anomaly detection system that combines CCTV technology and machine learning algorithms for real-time monitoring in Barangay 294 in Binondo, Manila. CCTV and machine learning work together to promote proactive monitoring and early anomaly identification, both of which are essential for improving community safety. The researchers developed a web application that allows for the immediately accurate reporting of abnormalities to barangay officials. The system's major programming language is Python, and its user interface is built with Vue.js to give a simple interface for live video surveillance and comprehensive report generation features. The user interface included quick registration, simple dashboard navigation, and access to a variety of services like notifications, camera views, and system customizations. Using the ISO 25010 to rate. 30 respondents evaluated the system including ten (10) IT Professionals, ten (10) Barangay officials, and ten (10) Barangay citizens. It has a rating of 3.76 for Functionality, that is Highly Acceptable, and 3.55 for Performance, Usability, and Efficiency, which is also Highly Acceptable. The rating for maintainability, portability, and design is 3.63, which is highly acceptable.

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Holdings
Item type	Current library	Shelving location	Call number	Copy number	Status	Date due	Barcode
Bachelor's Thesis COS	TUP Manila Library	Thesis Section-2nd floor	BTH QA 76 J39 2024 (Browse shelf(Opens below))	c.1.	Not for loan		BTH0004926

Thesis (undergraduate)

College of Science-- Bachelor of Science in Computer Science: Technological University of the Philippines, 2024.

Includes bibliography.

Respoguard is an anomaly detection system that combines CCTV technology and machine
learning algorithms for real-time monitoring in Barangay 294 in Binondo, Manila. CCTV and
machine learning work together to promote proactive monitoring and early anomaly identification,
both of which are essential for improving community safety. The researchers developed a web
application that allows for the immediately accurate reporting of abnormalities to barangay
officials. The system's major programming language is Python, and its user interface is built with
Vue.js to give a simple interface for live video surveillance and comprehensive report generation
features. The user interface included quick registration, simple dashboard navigation, and access
to a variety of services like notifications, camera views, and system customizations. Using the ISO
25010 to rate. 30 respondents evaluated the system including ten (10) IT Professionals, ten (10)
Barangay officials, and ten (10) Barangay citizens. It has a rating of 3.76 for Functionality, that is
Highly Acceptable, and 3.55 for Performance, Usability, and Efficiency, which is also Highly
Acceptable. The rating for maintainability, portability, and design is 3.63, which is highly
acceptable.

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