International Journal of Science, Engineering and TechnologyAuthors: Jahnvi Singh, Ilma Abrar, Prince Kumar
Abstract: Over the years, accidents caused by animals crossing the road unexpectedly have remained a significant cause of road deaths. Roads near forests are often dark and dense, making it hard for drivers to see animals clearly. Truck drivers particularly struggle with blind spots. This paper proposes a model that can effectively detect animals and alert drivers. We use a deep learning algorithm to identify animals using a large open-source dataset. Our model employs convolutional neural networks to predict objects in each image frame taken from a live camera. If the system identifies an object as an animal, it provides a three-second alert to warn the driver about the approaching animal. This model is not limited to a few animals; since the dataset is open-sourced, the range of detected animals keeps expanding. The model achieves 91% accuracy.
DOI: http://doi.org/
