Plate-Plus Tracker

Abstract

In today’s fast-moving world, keeping our roads safe and managing traffic effectively has become really important. This research paper, titled ”Plate-Plus Tracker,” aims to transform how we track vehicles by combining video analysis with smart image processing technology. The system records video of vehicles traveling along specific roads and stores all footage safely in a database. Using computer vision and image recognition methods, the system can automatically identify vehicles on the road and pull out license plate information from the recorded videos. On top of that, it tracks the path a vehicle has taken using Google Maps. Users can search for any vehicle using the stored data and quickly find out whether that vehicle appears in any footage. This paper demonstrates how automation can help build a more reliable and safer vehicle tracking solution. Index Terms—Plate-Plus Tracker, Deep Learning, YOLOv5, Computer Vision, OCR, Vehicle Surveillance, Intelligent Transport Systems