Abstract: The goal of this Paper is to create a sophisticated wildlife monitoring and alert system that counts and identifies animals and trees using deep learning techniques. The technology will examine photos and videos taken by security cameras placed in nature areas using cutting-edge deep learning algorithms. In order to reliably identify different species, convolutional neural networks (CNNs) trained on a variety of datasets are utilized in the first component, which focuses on animal identification and counting. By adding to the system's capacity to identify and count trees, the second part supports ecological research and conservation initiatives. The idea incorporates a Telegram bot to improve real-time communication by instantly notifying and updating pertinent stakeholders, like environmentalists, forest authorities, and animal researchers.
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DOI:
10.17148/IJARCCE.2024.13543
