MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02214ntm a2200277 i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20231021150021.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
230822s2022 |||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 T 58.5 |
| Item number |
C57 2022 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Cipriano, Giselle W. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
ViGuard : |
| Remainder of title |
animal and human detection using machine learning / |
| Statement of responsibility, etc. |
Giselle W. Cipriano, Trisha Nicole C. Dominguez, Hannah Isabel A. Magbanua, Vernadette D. Piedad. |
| 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 |
xiii, 125 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
28 cm. + |
| Accompanying material |
1 CD-ROM (4 3/ in.) |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Thesis (Undergraduate) |
| 502 ## - DISSERTATION NOTE |
|---|
| Dissertation note |
College of Science -- |
| Degree type |
Bachelor of Science in Information Technology, |
| 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. |
This study developed the "ViGuard: Animal and Human Detection using Machine Learning." The system helps strengthen outdoor private residential property security. It also enhances home surveillance experience in detecting intruders. This study also provides awareness for the users in safeguarding their area and valuables. The system was developed with the use of Raspberry Pi, PIR Motion Sensors, USB Web Camera, and Servo Motor. It was tested to be satisfactorily working in terms of the presence of power supply, user alert reliability, motion detection with satisfactory accurate analysis, and also in terms of monitoring of response time in sending the email output and capturing the image of the detected intruder. The system was evaluated using a survey instrument with criteria based on the TUP Evaluation Instrument for Prototype Developed. Based on the evaluation results, the project was rated "Highly Acceptable" in terms of functionality, aesthetics, workability, durability, economy, safety, and saleability, which proves that the system is very functional and reliable.--Author's Abstract. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Electronic security systems. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Machine learning. |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
ViGuard |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Dominguez, Trisha Nicole C. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Magbanua, Hannah Isabel A. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Piedad, Vernadette D. |
| 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 |