With a surge in the need for procuring the identification of vehicles, Automatic License Plate Recognition and Data Retrieval (ALPRD) system has come in handy as it recognizes the license plate of the moving and sedentary vehicles. It is a real time system, which not only recognizes the data, but also retrieves its details notably with much complex characteristics without any human intervention. ALPRD has been at its pinnacle with its usage propagating from an elementary parking lot to a demanding and complex traffic managements and security cameras. Requiring a special strategy to avoid the motion blur caused while capturing and decoding the number plates of fast-moving vehicles, it involves the use of Optical Character Recognition (OCR), cameras and data processors so as to capture the license plates. The earlier technology applied in Automatic License Plate Recognition (ALPR) was the use of MATLAB as the primary tool and Open Computer Vision library which supports for the development of the vision in computers. This paper provides an insight into the implementation of ALPRD using Open Computer Vision library, Python and Database.