AI & Parking Management

Number Plate Recognition & Access Control

Our Number plate recognition system enables the capability for the businesses to track the vehicles on their premises. Integrated with the access control system, this image recognition system controls the entry & exit of vehicles.



In the raging number of vehicles daily it is almost impossible to recognize and track a vehicle.

It’s even more problematic if we run a parking lot business and to keep track of every single vehicle that comes in and goes out.

Our object recognition system enables to record and calculate the capacity of the lot.

This number plate decoding is done by Image processing system and Deep learning technologies.

If a system can read an image in the number plate and decode it digitally then processing is a piece of cake.

Automatic Number Plate Recognition System for Vehicle Identification Using Optical Character Recognition. Number plate recognition is an image processing technology which uses number (license) plate to identify the vehicle.

License Plate Detection: This is the first step and the most important stage of the system. In this stage that the position of the license plate is determined and locked. The input at this stage is an image of the vehicle and the output is the license plate.

Character Segmentation: In this stage the characters on the license plate are mapped out and segmented into individual images and processed.

Character Recognition: This is where the technology plays its major role. The characters earlier segmented are identified here using deep learning algorithm.


Parking Lot Management



Identifying the empty spaces in the parking lot and reporting the empty spaces is another feature in our object recognition solution. Number of cars in the parking lot can be identified and can be used for calculating empty spots.
Our software can be customized and can be enhanced to suit any customer needs.


                                             Contact us at support@c2digitran.com for any queries.


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