Traffic ticket OCR

 

This article describes how to build an OCR API that extracts data from Traffic ticket using our deep learning engine. If you want to automate your traffic ticket workflow, this article is for you. 

 

 

Prerequisites

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

 

 

Define your Traffic ticket use case

 

First, we’re going to define what fields we want to extract from your Traffic ticket. 

 

 

 

• Date: The date of the offence

 

• Time: The time of the offence

 

• Description: The description of the violation

 

• Place of occurrence: The place where the violation occurred

 

• Badge: The badge number

 

That’s it for our use case. Feel free to add any other relevant data to fit your requirements. For example, you could add the county, the arrest type, or anything else you want really. 

 

 

Deploy your API

 

Once you have defined the list of fields you want to extract from your traffic ticket document, 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:

 

 

 

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.

 

Date of Offence: type Date with US format

 

 

Time: type String without specifications. 

 

 

Description of Violation: type String without specifications. 

 

 

Place of Occurrence: type String without specifications. 

 

 

Badge Number: type Number without specifications. 

 

 

 

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 Traffic ticket OCR

 

 

 

 

You’re all set! 

 

Now is the time to train your Traffic 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 Traffic 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!