The problem Traffic-Flow-Optimization Number-Plate Recognition solves

• With the increasing population and number of automobiles in cities, traffic congestion has become a major issue. Traffic jams not only cause delays and stress for drivers but also contribute to increased fuel consumption and air pollution. In order to address this problem, a Computer Vision-based traffic signal controller has been developed to improve traffic management. The system aims to automatically adapt to the traffic situation at the traffic signal by allocating time to specific lanes based on the density of traffic.
• Simultaneously, all the data is stored in a CSV file, including the time, day, month, number of cars, number of bikes, number of trucks, number of buses, and the link to the captured image.
  -This data is imported into Power BI, where we create a dashboard to visualize the information.
• With the increasing crime and vehicle missing in cities. it has become difficult for police and management to track of the vehicles. The developed system aims to automaticaly capture every vehicle details passed by juction or lane.