Identify if your cardboard is recyclable using AI

Below is a free classifier to identify if your cardboard is recyclable. Just upload your image, and our AI will predict if your cardboard is recyclable - in just seconds.

if your cardboard is recyclable identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("if-your-cardboard-is-recyclable", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/if-your-cardboard-is-recyclable/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/if-your-cardboard-is-recyclable/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict if your cardboard is recyclable.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Non Recyclable and Recyclable.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if your cardboard is recyclable).

Whether you're just curious or building if your cardboard is recyclable detection into your application, we hope our classifier proves helpful.

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Need to identify if your cardboard is recyclable at scale?

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



  • Waste Management Optimization: This function can be integrated into municipal waste management systems to automatically identify recyclable cardboard in waste streams. By sorting materials more efficiently, municipalities can improve recycling rates, reduce landfill waste, and save on disposal costs.

  • E-Commerce Packaging Solutions: E-commerce companies can use this technology to verify the recyclability of their packaging materials. With accurate identification, they can provide customers with environmentally friendly options and promote sustainable practices, enhancing their brand image.

  • Recycling Facility Automation: Recycling facilities can implement this image classification tool on conveyor systems to identify and sort recyclable cardboard from mixed materials. This automation helps reduce labor costs, increases processing speed, and ensures higher quality recycled materials.

  • Consumer Education Applications: Mobile applications leveraging this function can empower consumers to determine if their cardboard packaging is recyclable. By simply scanning the packaging with their smartphones, users can receive instant feedback, promoting responsible disposal practices.

  • Retail Sustainability Initiatives: Retailers can incorporate this technology into their sustainability initiatives to assess the recyclability of in-store packaging and display materials. This data can help inform sourcing decisions and improve overall sustainability efforts.

  • Compliance and Reporting Tools: Companies can use this function to ensure compliance with recycling regulations by auditing their cardboard usage. By maintaining accurate records of recyclable materials, organizations can report their recycling practices and achievements more effectively to stakeholders.

  • Educational Programs in Schools: Schools can implement this image classifier in educational programs to teach students about recycling and sustainability. By engaging students with interactive technology, they can learn to identify recyclable materials, fostering environmentally conscious behaviors from a young age.

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