Prototype of a Smoking Activity Detection Device for School Toilets Based on ESP32
Keywords:
Telegram Bot, Smoking Detection, ESP32-Cam, MQ-2, PIR HC-SR501Abstract
This research aims to develop and test a prototype device for detecting indications of smoking activity in the area outside school toilets using an ESP32-Cam microcontroller. The research method used is Research and Development (R&D) with a V-Model approach covering the stages of requirement analysis, specification, system design, component design, coding, unit testing, integration testing, system testing, and acceptance testing. The system integrates an MQ-2 sensor to detect responses to smoke exposure, a PIR HC-SR501 sensor to detect object movement in order to minimize false alarms, and an LCD and buzzer as local warning media. A Telegram Bot is used as a remote notification medium in the form of text messages and image documentation. Integration testing results show 5 True Positive data, 15 True Negative data, 0 False Positive data, and 0 False Negative data from 20 tests limited to a mock-up environment, yielding a system accuracy of 100% and an error rate of 0%. The system successfully identified trigger conditions according to the test scenarios and sent notifications along with images to Telegram with an average delay of 9 seconds. In conclusion, this prototype was successfully designed and functions well in remotely detecting indications of smoking activity on the school toilet mock-up.
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