API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("router-makers-by-logo", "your_image_url", credentials)


fetch('https://www.nyckel.com/v1/functions/router-makers-by-logo/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/router-makers-by-logo/invoke

How this classifier works

To start, upload your image. Our AI tool will then predict what brand of router it is.

This pretrained image model uses a Nyckel-created dataset and has 18 labels, including Apple, Arris, Asus, Belkin, Broswan, Cisco, Dlink, Huawei, Linksys and Meraki.

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

Whether you're just curious or building router makers by logo detection into your application, we hope our classifier proves helpful.

Need to identify router makers by logo at scale?

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

Automated Quality Control: Router manufacturers can use the False image classification function to streamline quality assurance processes. By identifying images of routers that do not match specified logos, companies can quickly assess production errors and ensure that only products with correct branding reach the market.

Brand Compliance Monitoring: Retailers and distributors can utilize this classification function to verify that all products listed on their websites or in stores comply with branding guidelines. This tool helps to detect unauthorized or counterfeit products, protecting the brand's integrity and reputation.

Market Research and Competitive Analysis: Businesses can leverage the false image classification function to track competitor branding in online and offline environments. By analyzing how often competitors' logos appear in various settings, companies can gather insights to shape their marketing strategies.

Logistics and Inventory Management: Warehousing and logistics companies can implement the function to ensure that routers being shipped out match the expected logos and branding. This can reduce miscommunication and streamline the handling of products, minimizing losses due to incorrect shipments.

E-commerce Platform Verification: Online marketplaces can integrate this classification function to validate the authenticity of router listings. By detecting false or misleading logos, the platform can enhance customer trust and reduce incidents of fraud and misrepresentation.

Customer Support and Warranty Checks: Service centers can employ the false image classification to quickly ascertain the brand of the router when customers seek support. This aids in verifying warranty claims and directing customers to the appropriate resources, significantly improving customer service efficiency.

Social Media Monitoring for Branding: Marketing teams can harness this functionality to analyze social media posts for brand visibility. By identifying instances where the wrong logos are associated with their products, companies can engage with users to correct brand representation, fostering a more accurate brand presence online.

Identify router makers by logo using AI

API Access

How this classifier works

Need to identify router makers by logo at scale?