![]() ![]() Please feel free to contact us if you need help with configuration or any other assistance, we’re always happy to help! How do I send less pictures to Platerecognizer? (click to read) ![]() ‘localhost’ can be replaced with ip address of the device where Platerecognizer SDK is configured Then you need to specify URL for local SDK in Xeoma: 3. First, you need to configure “Platerecognizer” utility according to this instructionĢ. Platerecognizer utility’s algorithms will be a great tool to improve license plate recognition accuracy thanks to its adjustment to various “real-life” factors, such as sun glare, blurry images, fast vehicles, night-time, and many more.Īnd here is the instruction for local/on-premise SDK installation (on your own computer) click here…ġ. Snapshots/video with decoded license plates can be checked both in your account on and in Xeoma:Īs you can see, configuration of this utility is really easy. If everything is configured correctly, you’ll see license plate recognition in Xeoma:Ħ. This step describes Cloud API, for local/on-premise SDK installation (on your own computer) please follow this instruction.ĥ. Next you’ll need to open Xeoma (you can download Trial version of Xeoma here) and add ANPR module in your modules chain: After you confirm your email address, you’ll receive API token:ģ. Please visit and sign up to receive API key for testing and using the utility free of charge (or purchase necessary product for your requirements):Ģ. Let’s review step-by-step instruction on how to use Platerecognizer utility (and test it).ġ. Platerecognizer utility can work both as a cloud software and as a local software (no Internet required) on a variety of hardware. Platerecognizer’s algorithms are able to handle plates that are blurry, dark, angled, with stacked characters, etc. It’s an accurate and fast license plates recognition utility that can work with different license plates. Xeoma provides multiple ways to enhance license plates recognition by using different utilities such as OpenALPR, iANPR and now – Platerecognizer. Sometimes it’s not that easy to decode a license plate if the image is blurry or somehow distorted. ← Back to Articles Platerecognizer utility for ANPR module in Xeoma ![]()
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