Automatic License Number Plate Recognition Using Deep Learning And Open CV
Keywords:
Automatic Number Plate Recognition, Image Processing, Convolutional Neural Network, Authenticate, UnauthenticateAbstract
This paper illustrates a design and development of a new efficient Automatic number plate recognition system, using image processing and deep learning techniques. This system is implemented at residential parking entries. The number plate sensor will sense the presence of a vehicle and after that through camera it captures the frames of vehicles. This information is sent to Raspberry Pi to process the image. Using deep learning SSDMobile .Net model we detect the number plate of the vehicle. We create sequential convolutional neural network that is smart enough to recognize characters after training. The recognized plate number is matched with stored database and displays vehicle status on website. If the vehicle is an unauthenticate one, the gate remains shut and an email is sent to the parking management authority.
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