| 000 -LEADER |
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| fixed length control field |
02500nam a22002417a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
FT8781 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20251111095732.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
251111b ||||| |||| 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 |
T9 B35 2025 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
. |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Balomaga, Laurence Kenneth A.; Reyes, Charmaine Allyson P. |
| 245 ## - TITLE STATEMENT |
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| Title |
Proxisense: Iot smart blind stick with voice alerts for obstacle and water hazard 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 |
c2025 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Other physical details |
Capstone Project: (Bachelor of Science in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2025 |
| 336 ## - CONTENT TYPE |
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| Source |
text |
| Content type term |
text |
| Content type code |
text |
| 337 ## - MEDIA TYPE |
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| Source |
unmediated |
| Media type term |
unmediated |
| Media type code |
unmediated |
| 338 ## - CARRIER TYPE |
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| Source |
volume |
| Carrier type term |
volume |
| Carrier type code |
volume |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
ABSTRACT: Visually impaired individuals often face challenges or difficulties when navigating unfamiliar environments or settings. These difficulties often stem from the fact that their ability to rely on visual cues is limited, making tasks such as detecting obstacles in front of them, identifying the presence of water, and knowing whether it’s safe to cross the road or not, and navigating unfamiliar routes much more difficult. To address said issues, the researchers of the study developed ProxiSense, an Arduino-powered smart blind stick capable of detecting obstacles, the presence of water and its depth, and the state of the traffic light signals along with their countdown timer, the system leverages three different sensors: a color sensor for identifying the traffic light states, an ultrasonic sensor for obstacle detection, and a water sensor for water hazard detection. Furthermore, the system incorporates three different algorithms: The Traffic Light Crossing (TLC) Algorithm, the Sliding Window Algorithm, and the A* Algorithm. The TLC algorithm is used to assist the users, alerting them whether it’s safe to cross the road or not. Meanwhile, the sliding window algorithm is utilized to forecast current weather conditions, and the a* algorithm is used to identify points of interest (POIs), providing users with directions and guiding them to their preferred location. To further increase its reliability, the smart blind stick features voice alerts, sound alarms, and vibration motors for real-time feedback and interaction. Additionally, the system is also supported by a mobile application, allowing users or caregivers to view trip history, check today’s weather condition, and set up new trips. |
| 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 |
|
| Item type |
Thesis/Dissertation |