Authors :
Dr. Belinda B. Abu-Khazna; Johanna Eliane B. Narisma; Myko Kariete B. Salanguit; Princess C. Magat; John Ely T. Buergo; Arzhea N. Fuentes; Razanne D. De Castro
Volume/Issue :
Volume 10 - 2025, Issue 4 - April
Google Scholar :
https://tinyurl.com/2kvj3ck4
Scribd :
https://tinyurl.com/4px7v6se
DOI :
https://doi.org/10.38124/ijisrt/25apr1956
Google Scholar
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Abstract :
Technology plays a crucial role in enhancing safety and security, especially in environments like schools, where
developing innovative solutions to everyday challenges is becoming more vital. This research aimed to expand the use of
safety proximity sensors into educational settings by providing an affordable and easy to implement system. This study
utilized the quantitative method and experimental design with the objective to determine the feasibility of using ESP32
Camera integrated with Arduino interface as a safety proximity sensor in terms of distance, real-time feedback and the
response time of the buzzer. This device was observed to be able to detect human figures or objects with a distance ranging
from 1 to 4 meters away from the sensor. Moreover, the ESP32 Camera had a minimal delay time at presenting images
with a mean value of 0.89 seconds. Furthermore, the buzzer’s reaction time presented a swift response with a mean value
of 0.15 seconds. The integration of ESP32 and Arduino interface provided a unique opportunity to repurpose existing
technology, making the safety system more accessible for schools with limited budgets. The results of this study indicated
that the Safety Proximity Sensor is effective at detecting nearby objects or humans swiftly and efficiently. The real-time
speed of both the buzzer and the ESP32 camera had little to no delay. Future researchers may utilize this study as a guide
in making more advanced innovations and can be improved by integrating the device to a dedicated app to provide more
extensive data and features to further enhance the real-time images it captures and prevent accidents, crimes, and the
likes.
Keywords :
Arduino Interface, ESP32, ESP32 Camera, Safety Proximity Sensor.
References :
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Technology plays a crucial role in enhancing safety and security, especially in environments like schools, where
developing innovative solutions to everyday challenges is becoming more vital. This research aimed to expand the use of
safety proximity sensors into educational settings by providing an affordable and easy to implement system. This study
utilized the quantitative method and experimental design with the objective to determine the feasibility of using ESP32
Camera integrated with Arduino interface as a safety proximity sensor in terms of distance, real-time feedback and the
response time of the buzzer. This device was observed to be able to detect human figures or objects with a distance ranging
from 1 to 4 meters away from the sensor. Moreover, the ESP32 Camera had a minimal delay time at presenting images
with a mean value of 0.89 seconds. Furthermore, the buzzer’s reaction time presented a swift response with a mean value
of 0.15 seconds. The integration of ESP32 and Arduino interface provided a unique opportunity to repurpose existing
technology, making the safety system more accessible for schools with limited budgets. The results of this study indicated
that the Safety Proximity Sensor is effective at detecting nearby objects or humans swiftly and efficiently. The real-time
speed of both the buzzer and the ESP32 camera had little to no delay. Future researchers may utilize this study as a guide
in making more advanced innovations and can be improved by integrating the device to a dedicated app to provide more
extensive data and features to further enhance the real-time images it captures and prevent accidents, crimes, and the
likes.
Keywords :
Arduino Interface, ESP32, ESP32 Camera, Safety Proximity Sensor.