Identify if a computer is damaged using AI

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

API Access


import nyckel

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


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

How this classifier works

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

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

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

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

Need to identify if a computer is damaged at scale?

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

Predictive Maintenance: Organizations can utilize the 'if a computer is damaged' identifier to predict hardware failures before they occur. By analyzing image data of devices regularly, companies can schedule maintenance proactively, reducing downtime and repair costs.

Insurance Claims Processing: Insurance companies can leverage this classification function to assess the condition of computers quickly during claims processing. By analyzing submitted images, insurers can determine if damage is present, expediting the claim approval process and improving customer satisfaction.

Warranty Verification: Retailers and manufacturers can automate the warranty verification process using image classification. When a customer submits a claim with an image of the damaged computer, the system can evaluate the damage and determine if it falls within warranty coverage, streamlining customer service.

Remote Technical Support: Technical support teams can use this function to assist users remotely by analyzing images of their damaged computers. This allows support staff to identify issues more accurately and provide tailored guidance, enhancing the overall customer support experience.

Device Resale Value Assessment: Businesses in the used electronics market can implement this identifier to evaluate the condition of computers before resale. By classifying whether a computer is damaged, sellers can set appropriate prices and improve transparency with buyers, boosting consumer confidence.

Inventory Management: Companies can integrate image classification into their inventory management systems to assess the condition of computers before they are added to or removed from stock. This ensures that only functional equipment is available for sale, optimizing inventory turnover and reducing losses from damage.

E-Waste Recycling: E-waste recycling facilities can use the damaged identifier to streamline the sorting process of discarded computers. By automatically classifying damaged units, recyclers can better manage refurbishment efforts or direct damaged units to appropriate recycling streams, promoting environmental sustainability.