Enhanced Parking lot access through Vehicle License Plate Recognition

Computer Science and Engineering

In the current era of information technology, the use of automatic system is becoming more and more widespread. Automatic number plate recognition can be used to store the images captured by the cameras as well as the text from the license plate, with some configurable to store a photograph of the driver. Systems commonly use infrared lighting to allow the camera to take the picture at any time of the day. ANPR technology must take into account plate variations from place to place. Fully automated systems are being adopted in industries across the world at a rapid rate. Control systems are replacing manual operators and fully automated machines are replacing human labour. Less personnel and smarter machines means less operating and labour costs while increasing the quality of the products or services offered. Though this limits the use of the parking lot, it increases the security of the lot which has been deemed as a reasonable trade-off. The project encompasses the design, development, and integration of the ANPR system into the current parking lot infrastructure. The system will be capable of recognizing license plates in various lighting conditions and from different angles. Integration with access control mechanisms will be a key aspect to facilitate seamless entry and exit for authorized vehicles. This paper deals with the development of an application which recognize the Vehicle License Plate (VLP) and parking system that can be used for traffic system, parking area and the border crossing . The paper combines the capabilities of hardware and software into one integrated automatic system. We used digital image processing software that locates the plate in a photo that was taken for the car at the entrance of the parking lot using a camera. The output of the image processing is the plate number, this number is used to decide whether the car to enter the parking lot or not. The system uses a number of sensors to send and receive signals for processing.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.