REAL TIME ACCIDENT DETECTION AND REPORTING SYSTEM USING CNN ALGORITHM

Abstract

In order to identify patterns for decision-making, deep learning, a branch of artificial intelligence, imitates how the human brain processes data. Within machine learning, it utilizes networks that discern and categorize patterns from unstructured or untagged data. Referred to as deep neural learning, Convolutional Neural Networks (ConvNets or CNNs) shine in image recognition tasks, adept at identifying faces, objects, and traffic signs. Their prowess extends to robotics, enhancing vision for self-driving cars. Despite widespread awareness of driving regulations, a substantial number globally fall victim to vehicle crash injuries due to drivers' negligence, despite their knowledge. This paper contributes to road accident detection through the Mask R- CNN method, aiming to improve safety measures.