MARC details
| 000 -LEADER |
| fixed length control field |
03329nam a22003137a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20250509161236.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
250509b |||||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
| Original cataloging agency |
TUPM |
| Language of cataloging |
TUPM |
| Transcribing agency |
TUPM |
| Modifying agency |
English |
| Description conventions |
rda |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
| Classification number |
BTH QA 76.9 |
| Item number |
L87 2023 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
| Personal name |
Lustria, Jeremiah Jose B. |
| Relator term |
author |
| 245 ## - TITLE STATEMENT |
| Title |
Lost And Found Web App Utilizing Image Classification And Reward System Using Esp32 Camera/ |
| Statement of responsibility, etc. |
Jeremiah Jose B. Lustria, Rylan Dwayne R. Obeña, Denne Joshua B. Suelan, Emmanuel I. Tandoc and Bernie V. Toragos.-- |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
| Name of publisher, distributor, etc. |
Technological University Of The Philippines, Manila. |
| Date of publication, distribution, etc. |
2023 |
| 300 ## - PHYSICAL DESCRIPTION |
| Extent |
xiv, 138 pages. |
| Dimensions |
29 cm |
| 336 ## - CONTENT TYPE |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
| Source |
rdacarrier |
| 500 ## - GENERAL NOTE |
| General note |
Bachelor's Thesis |
| 502 ## - DISSERTATION NOTE |
| Dissertation note |
College of Industrial Technology.-- |
| Degree type |
Bachelor of Engineering Technology Major in Computer Engineering Technology: |
| Name of granting institution |
Technological University Of The Philippines, Manila. |
| Year degree granted |
2023 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
| Bibliography, etc. note |
Includes bibliographic references and index. |
| 520 ## - SUMMARY, ETC. |
| Summary, etc. |
Individuals normally carry along some valuable it0065ms with them such as mobile<br/>phones, laptops, wallets, and other various items. These items or belongings are highly<br/>prone to being lost and misplaced during travels of their owners. Thus, a problem arises of<br/>finding an effective method of retrieving this lost item. Existing lost and found application<br/>are equipped with programming languages, have robust search engine, easy to use and<br/>accessible. However, they have limited accessibility features, have interoperability issues<br/>among others. This research project aims to provide an effective platform for lost and found<br/>transactions by designing, developing, testing and evaluation the “Lost and Found Web<br/>App Utilizing Image Classification and Reward System using ESP32 Camera”. The web<br/>application was developed through Visual Studio Code. While the ESP32 Camera WI-FI<br/>module was developed using Arduino IDE and other various components. The researchers<br/>found that there is no significant difference in the detection of the similarity between test<br/>images showing a result of a p-value of 0.030, this means that the system can significantly<br/>detect various images with consistent accuracy rating. Meanwhile, result from the response<br/>time of the 6 sub-modules such us Hero, Dashboard, About Page, Success Page, Tracking<br/>Page, and Analytics Section has significant difference based on the ANOVA with Tukey<br/>post-hoc test result of p-value of 0.000. This means that the static pages significantly load<br/>faster than the dynamic pages. Technical experts evaluated the hardware and web<br/>application as excellent in terms of web functionality, usability, security, efficiency,<br/>reliability, and hardware functionality showing a result of 4.67 rating which is excellent on<br/>the Likert Scale rating. This research project is aligned with the United Nations’<br/><br/>Sustainable Development Goals which is Responsible Consumption and Production (SDG-<br/>12) and Peace, Justice, and Strong Institutions (SDG-16). |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Computer Engineering Technology |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Utilizing Image |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Obeña, Rylan Dwayne R. |
| Relator term |
author |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Suelan, Denne Joshua B. |
| Relator term |
author |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Tandoc, Emmanuel I. |
| Relator term |
author |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Toragos, Bernie V. |
| Relator term |
author |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Bachelor's Thesis CIT |
| Suppress in OPAC |
No |