Identify boarding pass authenticity using AI

Below is a free classifier to identify boarding pass authenticity. Just upload your image, and our AI will predict if the boarding pass is authentic - in just seconds.

boarding pass authenticity identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("boarding-pass-authenticity", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/boarding-pass-authenticity/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/boarding-pass-authenticity/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict if the boarding pass is authentic.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Invalid Boarding Pass and Valid Boarding Pass.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the boarding pass is authentic).

Whether you're just curious or building boarding pass authenticity detection into your application, we hope our classifier proves helpful.

Recommended Classifiers

Need to identify boarding pass authenticity at scale?

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



  • Airport Security Verification: This function can enhance airport security by instantly verifying the authenticity of boarding passes during check-in and security screenings. This reduces the risk of fraudulent boarding passes being used, thus improving overall passenger safety.

  • Implementation in Mobile Check-In Apps: Airlines can integrate this image classification function into their mobile check-in applications to automatically scan and validate the boarding pass images uploaded by passengers. This streamlined process increases user convenience and reduces check-in time.

  • Real-Time Fraud Detection for Travel Agencies: Travel agencies can utilize this technology to verify the authenticity of boarding passes purchased through their platforms. This ensures that customers are presented with valid tickets, reducing potential loss from fraudulent transactions.

  • Enhancing Customer Service: Customer service representatives can use this function to quickly authenticate boarding passes submitted via email or chat for inquiries and support. This expedites resolution times for issues related to ticket validity and enhances overall customer satisfaction.

  • Loss Prevention in Airports: Airports can implement this classification function at various checkpoints to prevent unauthorized access to restricted areas. Validating boarding passes in real-time can significantly decrease the chances of individuals attempting to bypass security.

  • Cross-Platform Compatibility for Airlines: Airlines can implement this boarding pass identifier across various platforms, including kiosks, mobile apps, and desktop systems. This ensures consistent service quality and boosts the reliability of boarding pass verification.

  • Integration with Loyalty Programs: Airlines can leverage this function to verify boarding passes for loyalty program benefits, such as upgrades or bonus miles. By ensuring the authenticity of the boarding passes presented, airlines maintain the integrity of their loyalty rewards system.

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