![]() The hardware design of our parking system consists of two Raspberry Pi, a station, a barrier, two IR sensors, a modeling car and a camera. And RPi will control the barrier to lift down. After the car passes through the barrier and reaches a certain distance, another sensor behind the barrier will react and transfer a signal to RPi. If it matches with the number plates in the if-statement we set before, the barrier will lift up to let the car in, or the car will be barriered out. After processing with OCR, the number plate will be recognized by RPi, then displayed on the PiTFT. Then, RPi will control the camera to take a photo, and processing the image get from Rpi camera using openCV and transfer individual number or letter images to a sequence of characters using OCR so that the input number plate can be checked whether matched the stored number plates string in “database”. The whole parking system runs as shown in the figure below: when the car moves close to the barrier within a certain distance, a sensor will react and transfer a signal to the RPi. The other is for controlling two Infrared IR sensors to trigger camera and servo respectively, and for image processing and recognition. ![]() One for controlling the car stuck with printed number plate to move linearly toward the barrier and stop if it is not allowed to enter. Our project aims to design a parking barrier modeling system with automatic number plate recognition.In our project, we used two Raspberry Pi. ![]()
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March 2023
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