Published Paper Details:

The detection of traffic rule violations and fake registration plates is an important area of concern in ensuring road safety. Computer vision and machine learning technologies can be employed to automatically detect and flag such violations in real-time. This system involves the application of image processing techniques and machine learning algorithms to analyse images and videos captured by traffic cameras, enabling the identification of fake registration plates and any breach of traffic rules. The proposed technology offers a reliable and efficient means of monitoring and enforcing traffic laws, thereby enhancing road safety and mitigating the risk of accidents. This paper aims to present a comprehensive review of the current state-of-the-art techniques in detecting fake registration plates and traffic rule violations using computer vision and machine learning approaches, highlighting the associated challenges and potential solutions.