Iot-based Noise Detection Device for Animals in Petshop
Rancang Bangun Alat Pendeteksi Kebisingan pada Hewan di Petshop Berbasis Internet of Things (IoT)
DOI:
https://doi.org/10.21070/ups.6556Keywords:
Blynk, ESP-32 Cam, GY-MAX 4466, Internet of Things, Noise DetectionAbstract
Petshop owners often encounter noise disturbances, which can be attributed to various factors such as animal discomfort or hunger. This study proposes an Internet of Things (IoT)-based system to detect noise levels in petshops, monitor the environment, and provide real-time notifications to owners. The system employs a NodeMCU ESP8266 microcontroller, a GY MAX4466 sound sensor, Blynk app for monitoring, an ESP32-Cam for image capture, a tilt servo for camera movement, and Telegram for notifications. Experimental results indicate that the sound sensor is most effective at detecting noise within a 1-5 meter range. Data transmission to the Blynk application is relatively swift, with a delay of approximately 1.2 seconds. The tilt servo enables users to remotely control the camera's orientation via the Blynk app. Telegram notifications are sent continuously until noise levels subside. Overall, the developed system demonstrates its efficacy in detecting noise and providing valuable information for petshop owners
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