Identify if safety pin is rusted using AI

Below is a free classifier to identify if safety pin is rusted. Just upload your image, and our AI will predict if the safety pin is rusted - in just seconds.

if safety pin is rusted identifier

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    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("if-safety-pin-is-rusted", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/if-safety-pin-is-rusted/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-safety-pin-is-rusted/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict if the safety pin is rusted.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Not Rusted and Rusted.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the safety pin is rusted).

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

Related Classifiers

Need to identify if safety pin is rusted at scale?

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



  • Quality Control in Manufacturing: Implement the rust identification function in quality control processes during the production of safety pins. By automatically detecting rusted pins, manufacturers can ensure that only high-quality, safe products are sent to market, reducing the risk of customer complaints and returns.

  • Inventory Management: Integrate the image classification system in inventory management systems for retailers. This would allow for regular scans of safety pins in stock, automatically identifying and removing rusted items from inventory, thereby maintaining product quality on shelves.

  • E-commerce Product Listings: Use the rust detection function to verify the condition of safety pins listed on e-commerce platforms. This ensures that only non-rusted and acceptable quality items are advertised, enhancing customer trust and satisfaction.

  • Compliance and Safety Audits: Incorporate the rust identification feature in compliance audits for companies that deal with safety-related products. During safety inspections, detecting rust allows businesses to adhere to safety regulations and prevent potential harm caused by defective items.

  • Maintenance in Textile Industries: Use the image classification tool in textile industries where safety pins are commonly used for fabric management. Detecting rusted pins promptly can prevent damage to fabrics and ensure the smooth operation of garment manufacturing processes.

  • Consumer Awareness Campaigns: Employ the rust detection functionality in consumer awareness initiatives focused on health and safety. By educating consumers on the risks associated with using rusted safety pins, businesses can promote proper product disposal and increased vigilance.

  • Research and Development: Utilize the image classification function in R&D for safety pin manufacturing to explore the durability of various materials. Assessing the rust threshold of different safety pin types can lead to innovations in product design, improving longevity and reliability for end-users.

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