Surveillance of Forest Areas and Detection of Unusual Exposures using Deep Learning

M. Arunkumar, B. Praveen Raj · 2023

In today's technologically advanced world, people can choose from a wide range of tools and appliances to assist them with their daily activities. However, there is a lack of understanding about how to use current technologies to protect forests and animals. The purpose of this article is to focus on this issue and offer a potential solution to one of the challenges confronting the planet's ecosystems and animal inhabitants. The invaders are considered as a significant factor. Trespassers' illegal activities, such as deforestation., trafficking, and poaching, endanger wildlife and forest ecosystems. This study intends to spot trespassers and notify them about the permission required to enter a restricted area of the forest. The proposed model utilizes the camera module that uses TensorFlow and RFID technology. Alerts can be generated by using GPS hardware and software.

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