FAQs

Questions About Plate Recognition

Why can't Plate Recognizer read this image?

Our service offers great reading accuracy but it won’t work in certain cases. As a rule of thumb if a human has a hard time reading the license plate, our service then may not be able to read it. If a human is able to read the license plate, we will most likely be able to read it too. The main use case for our service is automation.

Can I run the number plate recognition locally? Do you have an SDK?

Yes.  Our On-Premise SDK can run on your server or device.  The SDK does not need an Internet connection.  The SDK is a Docker container with a REST API.

What hardware requirements are needed for the On-Premise SDK?

You will need a Linux machine with at least 2g of RAM. It can also run on a Raspberry Pi device.  Inference speed on a recent mid range CPU is 100ms.

How can I implement the API in programming language X?

You can find the documentation and examples of code on our API documentation page.

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How is your service better than an open source OCR solution?

We have added a number of algorithms in our LPR solution to take into account various real-life situations, such as blurry images, diverse lighting conditions, low resolution, images with vehicles taken from the side, etc.

How do I use curl on Windows?

Here’s an example:

curl -o c:car.jpg https://platerecognizer.com/static/demo.jpg

curl -F "upload=@c:car.jpg" -H "Authorization: Token my-unique-token" https://api.platerecognizer.com/v1/plate-reader

Need Help with LPR?

Let us know and we’d be happy to assist.

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