Animal Detection Alert System Using Machine Learning

– This paper introduces a software-based animal detection alert system designed to reduce animal-vehicle collisions, which can result in significant ecological, financial, and human safety issues. Leveraging machine learning (ML) techniques, the system analyzes images to detect animals in specific environments and generates alerts. The methodology includes image preprocessing, feature extraction, model training, and classification to accurately identify animals. This system’s software-centric approach offers a scalable and efficient solution, enabling broader implementation compared to hardware-intensive systems.