Intelligent RTO Monitoring and Forecasting System

Abstract

The exponential increase in car ownership has become extremely difficult for Regional Transport Offices (RTOs) to handle licensing, registration, fraud detection, and compliance verification. There is a need for more intelligent automation because traditional manual processes take a lot of time in processing, prone to mistakes, and susceptible to corruption. And so, to improve vehicle monitoring and decision-support systems, this paper examines how artificial intelligence (AI) and machine learning (ML) can transform RTO operations. Machine learning, deep learning, optical character recognition (OCR), and data analytics are some of the technologies that are merged together in the proposed Smart RTO Vehicle Intelligence and Cross-State Management System to automate important RTO tasks like tracking pollution compliance, predicting vehicle resale value, and document verification.