Field Prevention System from Wild Animals

Pp: 78-96 (19)

* (Excluding Mailing and Handling)

Abstract

Preventing wild animal attacks in fields is a highly challenging task for farmers and field holders, especially during nighttime. Continuous monitoring is difficult to maintain consistently. Therefore, we have designed an Intrusion Detection System based on the Internet of Things (IoT). Our system utilizes the ESP8266 as its central component, allowing for the implementation of an automated solution to repel animals from fields without human intervention. Various devices, such as hooters, flashlights with day-night vision cameras, and AI algorithms, are incorporated to detect and differentiate animals from humans. Additionally, mobile applications provide a convenient means to remotely monitor the system's actions from home.

Keywords: IoT technology, Intrusion detection, Field rrotection, ESP8266, Artificial intelligence, Mobile application, Day-night vision camera.

Cite as