• Priyanshu Singh
• Divya K

This paper covers image development enhancements based on parking management. This project will work based on the ideas of the Background Removal algorithm. The use of this algorithm will be used as a map tool to reduce vehicle error. Now car parking is a big problem in a smart city. Due to the increase in traffic problems, the clever parking system operated using opencv provides an easy way out. Object Discovery has had a major impact about how the world has adapted to artificial intelligence in recent years. Other popular acquisition algorithms are area-based accumulative neural networks, one-time multiple-box detectors (SSDs), and Look Together (YOLO). Among these SSDs has better accuracy, while YOLO performance is better when it comes to speed provided with the selected accuracy. In-depth learning includes SSDs and Mobile Nets for easy access and use for tracking. This algorithm enables accurate detection while not compromising performance. All app functionality is based on the acquisition of an object in a particular location such as whether a rectangular space is completed or not. When found complete it means the site is empty and look for other options.

Mobile Networks, COCO, Single Shot Detection.

"Parking Management System using OpenCV", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 2, page no.d314-d320, February-2023, Available :http://www.jetir.org/papers/JETIR2302340.pdf

"Parking Management System using OpenCV", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 2, page no. ppd314-d320, February-2023, Available at : http://www.jetir.org/papers/JETIR2302340.pdf