Smart Parking Fee Detection Using Contour Detection Algorithm

In today's world, many people are traveling in their own vehicles. The manual parking bills in public areas which leads to huge traffic or queue are formed for collecting the parking bills. Manual parking fee generation is a time consuming process, there is a possibility for loss of paper parking bills which leads to a lot of confusion, and sometimes there is lots of miscalculation in the parking fee. To reduce the time, the proposed model uses a vehicle number plate for the detection of parking fees. The automatic parking bill system in public areas through the vehicle number plate recognition will increase the convenience of collecting parking fees without the has s les of using paper bills. The system uses image processing that is Python OpenCV for localizing number plates for the billing system. It uses a Canny edge detection algorithm for localizing number plates from car images followed by character segmentation and uses a trained Python PyTesseract package is used for the recognition of characters in the number plate and generating a parking fee bill. As the result the system has reduced the interaction of humans and paper bills, time consumption is less. Cannon edge detection has improved the accuracy in the identification of the vehicle. The parking fee bill is generated at the time of exit of the vehicle from the parking area.