Identify qr code readability using AI

Below is a free classifier to identify qr code readability. Just upload your image, and our AI will predict what the quality of the QR code is - in just seconds.

qr code readability identifier

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    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("qr-code-readability", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/qr-code-readability/invoke', {
        method: 'POST',
        headers: {
            'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
            'Content-Type': 'application/json',
        },
        body: JSON.stringify(
            {"data": "your_image_url"}
        )
    })
    .then(response => response.json())
    .then(data => console.log(data));
                

    curl -X POST \
        -H "Content-Type: application/json" \
        -H "Authorization: Bearer YOUR_BEARER_TOKEN" \
        -d '{"data": "your_image_url"}' \
        https://www.nyckel.com/v1/functions/qr-code-readability/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict what the quality of the QR code is.

This pretrained image model uses a Nyckel-created dataset and has 28 labels, including Angled, Black And White, Blurry, Busy Background, Clean Background, Clear, Colorful, Cropped, Damaged and Digital Display.

We'll also show a confidence score (the higher the number, the more confident the AI model is around what the quality of the QR code is).

Whether you're just curious or building qr code readability detection into your application, we hope our classifier proves helpful.

Need to identify qr code readability at scale?

Get API or Zapier access to this classifier for free. It's perfect for:



  • Quality Control in Manufacturing: A QR code readability identifier can be used in manufacturing settings to ensure that all products are correctly labeled with scannable QR codes. By integrating this function into quality control processes, manufacturers can quickly identify and address issues related to unreadable codes, minimizing errors and enhancing traceability.

  • Inventory Management: In supply chain management, businesses can utilize a QR code readability identifier to streamline inventory scanning processes. This technology can help ensure that incoming and outgoing inventory is accurately tracked, reducing discrepancies and optimizing stock management.

  • Event Check-in Automation: At large events, a QR code readability identifier can facilitate swift and efficient attendee check-ins. By scanning QR codes from tickets, event organizers can enhance the experience by minimizing wait times and ensuring that only valid entries are allowed access.

  • Retail Customer Engagement: Retailers can implement a QR code readability identifier to enhance customer engagement through promotions and information access. Scanning promotional QR codes can trigger special offers or product details, improving customer interaction and boosting sales conversions.

  • Healthcare Patient Verification: Hospitals can use a QR code readability identifier to verify patient identities and medication information. By ensuring that QR codes on wristbands and medication packages are readable, healthcare providers can enhance patient safety and reduce the risk of errors.

  • Document Management in Legal Firms: Legal firms can utilize a QR code readability identifier to streamline document management. By labeling physical files with QR codes, professionals can quickly retrieve case files and ensure that all documents are accounted for, leading to increased productivity and reduced misfiling.

  • Research Data Collection: Researchers can employ a QR code readability identifier to enhance data collection in studies involving surveys or product testing. By distributing QR codes to participants for accessing online questionnaires or study materials, researchers can ensure that data is collected efficiently and accurately.

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