Intruder Detector for Crop Protection Using Image Processing and RFID Technology

Abstract

One of the major issues threatening the livelihood security of many farmers is wildlife crop destruction. This may lead to human-wildlife conflict. So, reducing this is an important conservation goal for animal-human coexistence. For their betterment, it is crucial to find viable means of preventing such conflicts. So this project aims at providing safety to farmlands from crop theft and animal attacks. The proposed system provides surveillance security for agriculture by real-time animal and human detection based on the analysis of video content feeds from the surveillance cameras. The camera module in the field turns ON upon detecting the motion and takes a snapshot of the environment. Once the image has been received, it is processed using openCV to determine the object detected as human/animal. If it is an animal, the alarm gets ON and at the same time, a notification conveying the name of the detected animal will be sent to the farmer through an IoT platform so that the farmer can take necessary precautions. If it is a human, authorization of RFID will be checked. If no such authorization is detected the person will be considered an intruder and a notification will be sent thereby reducing crop losses and harm happening to both humans and animals. It serves as a flexible security system for the farmers, ensuring that their farmlands are completely protected from human incursion and animal attacks.