Parking Ticket OCR

 

This article walks you through the building process of an OCR API that extracts data from Parking Ticket using our deep learning engine.

 

 

Prerequisites

  1. You’ll need a free beta account. Sign up and confirm your email to login.
  2. You’ll need at least 20 Parking Ticket images or pdfs to train your OCR.

 

 

Define your Parking Ticket use case

 

First, we’re going to define what fields we want to extract from your Parking Ticket. 

 

 

 Parking Ticket OCR API

 

  • Citation Number: The citation identification number 

 

  • Date: The date of the citation

 

  • Time: The time it was when the citation was issued

 

  • Licence Number: The licence number of the vehicle mentioned in the citation 

 

  • State: The state in which the citation was delivered

 

  • Amount Due: The total amount due by the vehicle's owner

 

 

That’s it for our use case. Feel free to add any other relevant data to fit your requirements.

 

 

Deploy your API

 

Once you have defined the list of fields you want to extract, head over to the platform and press the ‘build a new endpoint’ button.

 

You land now on the setup page. Here is the image you can use for setting up the API, and my setup looks like this:

 

 

Set up your  Parking Ticket OCR API

 

Once you’re ready, click on the “next step” button. We are going to specify the data types for each of the fields we want our API to extract.


 

To go further, you can download this json config to set up your data model or do it manually.


 

Citation Number: type Number without specifications. 

 

Citation Number field for  Parking Ticket  OCR

 

 

 

Date: type Date with US format.

 

Date field for  Parking Ticket  OCR

 

Time issued: type String without specifications. 

 

Time field for  Parking Ticket OCR

 

Licence Number: type String without specifications. 

 

Licence Number for  Parking Ticket OCR

 

State: type String that never contains numeric characters. 

 

State field for  Parking Ticket OCR

 

 

Amount Due: type Number without specifications. 

 

Amount Due for Parking Ticket OCR

 

 

Once you’re done setting up your data model, press the Data model ready? start training button at the top of the screen.

 

 

 

Train your Parking Ticket OCR

 

 

Deep learning Parking Ticket OCR API

 

 

You’re all set! 

 

Now is the time to train your Parking Ticket deep learning model in the Training section of our API. 

 

In a few hours (minutes if you're fast), you’ll get your first model trained and will be able to use your custom OCR API for parsing Parking Ticket in your application.

 

To get more information about the training phase, please refer to the getting started tutorial. If you have any question regarding your use case, feel free to reach out!