Identify power cord plug condition using AI

Below is a free classifier to identify power cord plug condition. Just upload your image, and our AI will predict the condition of the power cord plug - in just seconds.

power cord plug condition identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("power-cord-plug-condition", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/power-cord-plug-condition/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/power-cord-plug-condition/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict the condition of the power cord plug.

This pretrained image model uses a Nyckel-created dataset and has 15 labels, including Broken, Clean, Corroded, Damaged, Dirty, Discolored, Exposed, Frayed, Functional and Intact.

We'll also show a confidence score (the higher the number, the more confident the AI model is around the condition of the power cord plug).

Whether you're just curious or building power cord plug condition detection into your application, we hope our classifier proves helpful.

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Need to identify power cord plug condition at scale?

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



  • Manufacturing Quality Control: Utilize the power cord plug condition identifier in manufacturing facilities to automate the inspection process of power cords during production. It can detect defects like frayed wires or deteriorated plugs, ensuring only products that meet safety standards reach the market.

  • Maintenance Scheduling: Integrate the identifier into maintenance systems of large facilities to assess the condition of power cords. The system can predict when cords need repair or replacement, thereby reducing downtime and enhancing operational efficiency.

  • E-commerce Product Verification: Implement the identifier in e-commerce platforms to verify the condition of power cords before they are listed for sale. This reduces the chances of consumers receiving faulty or unsafe products, improving customer satisfaction and decreasing return rates.

  • Insurance Claims Assessment: Use the identifier in the insurance industry to assess the condition of power cords during claims investigations for electrical fires or property damage. This can expedite the claims process, ensuring that only valid claims are approved while protecting insurers' interests.

  • Consumer Safety Inspections: Employ the identifier in consumer safety standards organizations to inspect power cords in households or public spaces. This proactive measure can prevent accidents caused by poor plug conditions and educate the public on safe electrical practices.

  • Retail Store Inventory Management: Leverage the identifier in retail environments to monitor the condition of power cords used in display electronics. By ensuring that cords are in good condition, retailers can maintain product safety and avoid liability issues associated with faulty electrical products.

  • Third-Party Certification Testing: Apply the identifier in third-party testing laboratories that certify electronic devices and accessories. This function can provide accurate assessments of plug conditions, enhancing the credibility of certification processes and ensuring compliance with industry safety regulations.

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