• Hemant Gosavi
• Saurabh Patil
• Mukesh Jain
• Jenish Paul

The value of data has increased exponentially in recent years. Organizations are using online data to enhance their product and data interpretation. If traffic data from cars on the road can be easily obtained from videos, it can be very useful. In contrast to regular data traffic, surveillance videos contain an enormous volume of data that remains unprocessed, resulting in information loss. The aim of our project is to develop a method for retrieving vehicle data from videos that is both efficient and reliable. The vehicle's license plate number, colour, manufacturer's name, and time-stamp are all included in this information. The information will then be used for a variety of purposes. This information would aid in a more in-depth examination of road traffic. This research would aid in the gathering of information that will aid in the improvement of road transportation in the future. Additionally, since the data is in text format, searching and altering the data can be both quicker and quicker. This altered data may be correlated with video data if necessary. Without the text data, the above procedure will need less scrubbing through the video to achieve the desired stage. Furthermore, data stored in text format is much smaller than data stored in video format. Our project's implementation would contribute to the development of a smart traffic grid. We get the details we need one at a time. To begin, the vehicle is identified using YOLO (You Only Look Once). The requisite data is then retrieved from each vehicle's photographs. The vehicle's license plate is first detected. The license plate after some pre-processing.

Speed Detection, YOLO, Surveillance

"VideoSurveillance System Vehicle Identification and Speed Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.f70-f85, May-2021, Available :http://www.jetir.org/papers/JETIR2105673.pdf

"VideoSurveillance System Vehicle Identification and Speed Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppf70-f85, May-2021, Available at : http://www.jetir.org/papers/JETIR2105673.pdf