Identify power cord plug types using AI

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

API Access


import nyckel

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


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

How this classifier works

To start, upload your image. Our AI tool will then predict what type of power cord plug it is.

This pretrained image model uses a Nyckel-created dataset and has 38 labels, including Angled, Au, Bs 1363, C13, C14, C19, C20, C5, C7 and Coaxial.

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

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

Need to identify power cord plug types at scale?

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

Retail Inventory Management: Retailers dealing with electronic devices can utilize the false image classification function to streamline inventory management. By automatically identifying and categorizing power cord plug types, businesses can ensure that they have the correct accessories in stock and reduce mislabeling errors.

E-commerce Product Listing Optimization: E-commerce platforms can leverage the function to enhance product listings related to power cords and accessories. By accurately identifying plug types in images uploaded by sellers, the system can suggest correct categorizations and tags, improving search visibility and customer satisfaction.

Quality Control in Manufacturing: Manufacturers producing power cords can implement the classification function as part of their quality control processes. By using image classification to verify plug types against production standards, manufacturers can minimize defects and ensure compliance with safety regulations.

Customer Support Automation: Companies providing electronic devices can enhance their customer support services by integrating the classification function into their support systems. This allows customers to upload images of their power cords and receive instant identification of the plug type, streamlining troubleshooting and support inquiries.

Compatibility Checker for Device Accessories: Businesses can integrate the function into compatibility checking tools for electronic devices. By analyzing images of power cord plugs, customers can quickly determine if a specific power cord is suitable for their device, reducing return rates and improving customer satisfaction.

Automated Return Processing: Retailers can use the classification function to automate the return process for accessories. When customers return power cords, images can be analyzed to ensure the correct plug type is being returned, leading to more efficient processing and restocking.

Market Analysis and Trends: Market researchers can employ the function to analyze trends in power plug types across various regions. By collecting and classifying images from different markets, businesses can uncover insights into consumer preferences and adjust product offerings accordingly.