Design of IoT based Automatic Number Plate Recognition

New opportunities for several applications in the fields of security and transportation have emerged because of developments in computer vision and image processing techniques. One of these well-known uses is automatic number plate detection (ANPD), which is essential for traffic control, toll collection, parking management, and law enforcement. This paper focuses on creating and implementing a productive ANPD system using the Internet of Things based Raspberry Pi platform.This paper includes the summary of the methods currently in use and the difficulties involved in number plate recognition. We have also highlighted the benefits of the Internet of Things based approaches like Raspberry Pi as the hardware platform for our system, including its cost, adaptability, and computational power. The need of using computer vision methods, such as edge detection, contour analysis, and morphological operations to preprocess the video frames and extract pertinent characteristics is also highlighted. Traditional computer vision methods and deep learning models are combined to accomplish accurate number plate identification.