• Mrs.A.Merry Ida
• Mr.S.Antony Mutharasan
• Siva T
• Chandru R

Reducing vehicle-animal collisions on roadways is one of the major difficulties, as these incidents lead to environmental imbalance and high costs for the public purse. In addition to outlining a methodology for identifying animals in camera-generated photos, this paper also outlines the parts of a basic animal detection system. This methodology allows the features extraction of regions of the image and the use of Machine Learning (ML) techniques to classify the areas into fifteen classes of animals: 'Beetle', 'Butterfly', 'Cat', 'Cow', 'Dog', 'Elephant', 'Gorilla', 'Hippo', 'Lizard', 'Monkey', 'Mouse', 'Panda', 'Spider', 'Tiger', 'Zebra'. This system classifies animals based on their images so we can monitor them more efficiently. Animal detection and classification can assist in preventing incidents involving animals and vehicles.

Animal detection, classification

"Efficient and reliable Monitoring of Animals using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 6, page no.k571-k576, June-2023, Available :http://www.jetir.org/papers/JETIR2306A72.pdf

"Efficient and reliable Monitoring of Animals using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 6, page no. ppk571-k576, June-2023, Available at : http://www.jetir.org/papers/JETIR2306A72.pdf