Abu-Khazna, Belinda B. and Narisma, Johanna Eliane B. and Salanguit, Myko Kariete B. and Magat, Princess C. and Buergo, John Ely T. and Fuentes, Arzhea N. and Castro, Razanne D. De (2025) The Making of a Safety Proximity Sensor with the Utilization of ESP32 and ESP32 Camera Integrated with Arduino Interface and a Buzzer Alert System. International Journal of Innovative Science and Research Technology, 10 (4): 25apr1956. pp. 2617-2624. ISSN 2456-2165
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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.
Item Type: | Article |
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Subjects: | L Education > L Education (General) |
Divisions: | Faculty of Law, Arts and Social Sciences > School of Education |
Depositing User: | Editor IJISRT Publication |
Date Deposited: | 09 May 2025 10:28 |
Last Modified: | 09 May 2025 10:28 |
URI: | https://eprint.ijisrt.org/id/eprint/775 |