A novel deep learning based approach for object detection using mask R-CNN in moving images.

In this smart world, Industries, institutions like college or universities and many other organizations hold back in keeping a proper record of which vehicle is entering and leaving the campus as all of it is still done by using the manual method of writing down it in a diary or so. With the motive to provide a solution to this problem, the system has been devised with an advanced live camera surveillance system that would track down the license plate number of every vehicle entering and leaving the premises and maintain a record of it digitally. Along with the licence plate number, the check in and check out time of every individual vehicle will be automatically feed into the database thus maintaining a pin-point clear record of all the vehicles moving in and out of the campus. The custom algorithm ensures that even high speed of the vehicles can't disrupt the accuracy and precision of the system. Deep Learning Algorithms are used for detecting the number plates and OCR (Optical Character Recognition) for extracting the text in Licence plates. With the help of the system, the entire tracking process is fully digitalized reducing the manpower and enhancing security standards by providing analytical tracking of which vehicle have left the campus and which haven't after check-in. [ABSTRACT FROM AUTHOR]