Identify if a power cord is damaged using AI

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

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-a-power-cord-is-damaged", "your_image_url", credentials)


fetch('https://www.nyckel.com/v1/functions/if-a-power-cord-is-damaged/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-a-power-cord-is-damaged/invoke

How this classifier works

To start, upload your image. Our AI tool will then predict if a power cord is damaged.

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

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

Whether you're just curious or building if a power cord is damaged detection into your application, we hope our classifier proves helpful.

Need to identify if a power cord is damaged at scale?

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

Quality Control in Manufacturing: Integrate the image classification function into the production line to automatically inspect power cords for damage. This ensures that any defective products are identified and removed before they reach consumers, improving product reliability and reducing returns.

Maintenance for Electrical Appliances: Use the image classification technology within repair and maintenance services to quickly assess power cords for damage in appliances. Technicians can retrieve visual reports that streamline diagnosis, leading to faster repairs and improved customer satisfaction.

E-commerce Product Verification: Implement the function for e-commerce platforms to verify the condition of power cords during the listing process. This allows sellers to confirm the quality of their products and assures customers they are purchasing undamaged items.

Warranty Claims Processing: Employ the image classification solution in warranty claims departments to assess whether power cords are damaged when claims are submitted. This automation speeds up the review process, reduces errors, and helps in making informed decisions about claim approvals.

Safety Inspections in Facilities Management: Use the classification feature within facility management to conduct regular safety inspections of electrical equipment and their power cords. This proactive approach can help prevent electrical hazards, ensuring a safer workplace and compliance with safety regulations.

Preventative Maintenance for Rental Equipment: Leverage the technology in businesses that rent out electrical equipment to assess the condition of power cords before items are rented out. This helps ensure that all equipment meets safety standards, minimizing the risk of accidents or damage claims.

Insurance Assessment: Integrate the image classification function within insurance companies to assess damage claims related to electrical fires caused by faulty power cords. With accurate imaging and classification, insurers can make fairer assessments, leading to more efficient claims processing and risk management.