Designing An ESP32-based Automated Fish Pond Security System Using Multi-Sensors

Abstract

Fish pond security is a major concern for farmers, given the prevalence of theft cases that cause economic losses. Conventional security systems that rely on manual surveillance are considered ineffective and inefficient, especially at night or when the location is unattended. This study aims to design and build an automatic fish pond security system that can accurately detect intrusions and provide real-time early warnings. This system uses an ESP32 microcontroller as a control center connected to three main types of sensors to detect the presence of suspicious objects. As a double security feature, this system not only activates an audible alarm (buzzer) at the scene to provide a shock effect, but also sends warning notifications directly to the user's device via the Telegram application. This method allows pond owners to monitor security conditions remotely. Test results show that the system is capable of detecting disturbances, sounding alarms, and sending Telegram notification messages with a high success rate, thus offering a more responsive and modern security solution.