Senior Design 2020 – Computer Science and Engineering Team 2
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Computer Science and Engineering Team 2
Mitchell Chan Adam Fan Cameron Slater
License Plate Recognition
Our sponsor, Control Module Inc. (CMI), is a global provider of innovative systems and solutions for workforce data collection, EV charging, and fleet management.
We were tasked with designing a DVR-type device with event logging that classifies license plates and uses OCR machine learning to read the plate and log the event depending on whether a tagged ID was presented.
The license plate recognizer has two main components. It takes as input a video feed utilizing an IP based camera that the ECE team designed. First it finds a license plate (if one is present). Then, it reads the plate number and logs the event. We used Keras with TensorFlow core to build our neural network.