• Sandhya K
• Deepika V
• Deepisha R
• Tejashree N

The project presents Automatic Number Plate Recognition (ANPR) techniques and other image manipulation techniques for plate localization and character recognition which makes it faster and easier to identify the number plates. It also makes use of computer vision techniques to understand and label images. The objective is to design an efficient automatic identification system by using the vehicle image. The proposed model includes an automated system which uses a camera based on Raspberry Pi to capture the video. After recognizing the violation in traffic rules, vehicle number from number plate is extracted and a SMS based module is used to notify the Regional Transport Office (RTO) about their traffic rule violation.

Number plate Extraction, Computer Vision Technology, Image Processing

"Automatic E-Traffic Finer", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 7, page no.1064-1070, July 2020, Available :http://www.jetir.org/papers/JETIR2007436.pdf

"Automatic E-Traffic Finer", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 7, page no. pp1064-1070, July 2020, Available at : http://www.jetir.org/papers/JETIR2007436.pdf