Proxisense: Iot smart blind stick with voice alerts for obstacle and water hazard detection

By: Balomaga, Laurence Kenneth A.; Reyes, Charmaine Allyson P
Language: English Publisher: . . c2025Description: Capstone Project: (Bachelor of Science in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2025Content type: text Media type: unmediated Carrier type: volumeGenre/Form: academic writingDDC classification: . LOC classification: T9 B35 2025
Contents:
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.
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Item type Current location Home library Collection Call number Status Date due Barcode Item holds
Thesis/Dissertation PLM
PLM
Filipiniana Section
Filipiniana-Thesis T9 B35 2025 (Browse shelf) Available FT8781
Total holds: 0

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.

Filipiniana

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