Real-time Vehicle Monitoring and Navigation System

In modern times, the significance of vehicle monitoring and navigation systems has gained increasing attention. Concurrently, advancements in technology have made real-time monitoring and navigation systems feasible. These systems utilize algorithms such as YOLO (You Only Look Once) for vehicle detection and Kalman filters for trajectory tracking. Beyond detecting traffic flow, they perform trajectory analysis through clustering methods like DBSCAN to identify traffic patterns. Furthermore, integration with IoT devices enables extended functionalities such as real-time traffic condition updates and predictive traffic analytics using time-series forecasting models. Our objective is to design and implement a real-time vehicle monitoring and navigation system leveraging these technologies, incorporating RESTful APIs for data communication and OpenCV for image processing. This system aims to meet the growing demand for safer, more efficient, and convenient transportation solutions.