AI-Enhanced Camera Systems for Real-Time Identification of Expired Vehicle Pollution and Insurance via License Plate Recognition

Abstract

In the recent past, developments in intelligent transportation systems have called for the need to implement automatic scanning solutions. Such scanning solutions were required to scan vehicles against environmental and safety standards. The following paper discusses the application of artificial intelligence in camera systems to automatically scan for expired pollution certificates and insurance using number plate recognition capability. This vehicle registration number captures in real time and crosschecks it with the centralized database through advanced image processing and machine learning algorithms. With this, authorities can immediately check and verify if pollution control and insurance certificates are valid; thus, it reduces manual inspections and provides improved efficiency. The proposed system uses CNN-based high-accuracy license plate detection and OCR for obtaining the extracted registration number. That number is then passed over an AI model to identify vehicles whose certifications have expired and flags them for further action. Experimental results demonstrate that the system will reliably identify, albeit quickly, non-compliant vehicles with minimal error, thus making it a viable solution in an urban and highway setting. This technology presents much promise for regulatory bodies looking to enforce compliance of vehicles for safer, ecologically friendly roads.