Real-Time Object Detection in Road Traffic with Road Maintenance Capability
摘要
In an epoch characterized by urbanization and an escalating reliance on road networks, the imperatives of road safety and infrastructure preservation ascend to preeminent significance. Object detection, underpinned by breakthroughs in computer vision and machine learning, assumes a pivotal role in these domains. It is used for looking after real-time traffic by recognizing different vehicles, road objects, and anomalies merging it with safety and management of traffic flow. Along with that, it provides prior detection architectures for road obstacles. This research deals with object detection algorithms which allows both in-market and standard techniques which include neural networking concepts suitable for acting efficiently to the objects detected.