Animal Detection Alert System Using Machine Learning

Animal Detection Alert System Using Machine Learning

Hemavathi R1,Sakanth kumar R2,Tharun  S3,Srihariharan PM4,

Sumith R5,Vishwa R6

1Associate Professor ,Department of Artificial Intelligence and Machine Learning ,Sri Shakthi Institute of Engineering and Technology, Tamil Nadu ,India.

22nd year student , Department of Artificial Intelligence and Machine Learning, Sri Shakthi Institute of Engineering and Technology Tamil Nadu ,India.

32nd year student , Department of Artificial Intelligence and Machine Learning, Sri Shakthi Institute of Engineering and Technology ,Tamil Nadu ,India.

42nd year student , Department of Artificial Intelligence and Machine Learning, Sri Shakthi Institute of Engineering and Technology ,Tamil Nadu ,India.

52nd year student , Department of Artificial Intelligence and Machine Learning, Sri Shakthi Institute of Engineering and Technology ,Tamil Nadu ,India.

---------------------------------------------------------------------***---------------------------------------------------------------------

Abstract - - 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.

Key Words:  Animal detection, Machine learning, Image processing, Software-based alert systems, Conservation