The Internet-of-Things-based FishpondSecurity System Using NodeMCU ESP32-CAM Microcontroller

The Internet-of-Things-based FishpondSecurity System Using NodeMCU ESP32-CAM Microcontroller

Arduino Uno R3;fishpondsecuritysystem;Internet of Things (IoT);NodeMCU ESP32-CAM;real-time notification

Fish theft in ponds is a common problem, especially in freshwater fish farms. To solve this problem, a security system that can detect human movement and provide real-time notifications is needed. This research aims to design and implement an Internet of Things (IoT)-based fishpond security system using NodeMCU ESP32-CAM Microcontroller equipped with HB100 Radar Sensor to detect human entitymovement with NodeMCU ESP32-CAM to take pictures of the approaching human entity, as well as Arduino Uno R3 to control system inputs and outputs. The system also sends real-time notifications and can be managed independently by a social media application. The results show that thesystemcan detect human movement well, provide real-time notifications, and be handled easily. The test results show that the HB100 Radar Sensor can detect entitieswith a maximum distance of 9 meterswith overall accuracy of 90%,the Buzzer performs well according to the human entitydetected by the sensor, the Arduino Uno R3successfully sends a trigger signal to NodeMCU ESP32-CAMtoactivatethe OV2640 camera to capture the detectedhumanentitieswith a maximum distance of up to60 meterswith an optimal distance between 1 to 9 meters.Integrated system test results show that all components of the fishpond security system perform 100% well and are prospective to protect a fishpond with an area of 7x7 meter squares.This system providesa solution to reduce fish theft in ponds anddeliversreal-time information to the fishpondowner.

Arwin Datumaya Wahyudi Sumari1, Ilyas Annurroni2, Astika Ayuningtyas

https://jurnal.iaii.or.id/index.php/RESTI/article/view/6033/1009

Department of Electrical Engineering, State Polytechnic of Malang, Malang, Indonesia

24-02-2025

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