IJETEV1I1A006 – SMART HIGHWAY SAFETY SYSTEM USING DEEP LEARNING FOR ANIMAL DETECTION

ABSTRACT – Road accidents caused by unexpected animal crossings have become a significant concern, particularly during nighttime when visibility is severely limited. These incidents not only lead to property damage but also pose serious risks to human life and wildlife. The proposed system addresses this challenge by introducing an intelligent animal detection and alert framework designed to enhance road safety through continuous real-time monitoring. High-resolution night-vision cameras capture live footage of roadways, which is then processed using advanced deep learning techniques, including Convolutional Neural Networks (CNN) and YOLO-based detection models. These algorithms enable accurate identification of animals even under low-light, foggy, or adverse weather conditions. By automatically distinguishing animals from other objects such as vehicles or pedestrians, the system reduces the reliance on human intervention and ensures precise detection in dynamic environments.