Identify damaged eyeglasses
using AI
Below is a free classifier to identify damaged eyeglasses. Just upload your image, and our AI will predict if the eyeglasses are damaged - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("damaged-eyeglasses-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/damaged-eyeglasses-identifier/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/damaged-eyeglasses-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the eyeglasses are 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 the eyeglasses are damaged).
Whether you're just curious or building damaged eyeglasses detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify damaged eyeglasses at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Retail Quality Control: In eyewear retail, the damaged eyeglasses identifier can be employed during quality control to automatically detect defects in eyeglasses before they are sold. This ensures that only products that meet quality standards reach the customers, enhancing customer satisfaction and reducing returns.
- Warranty Assessment: Retailers and manufacturers can use this identifier to assess warranty claims for damaged eyeglasses. By automating the initial evaluation, companies can streamline the claims process, determining whether repairs or replacements are warranted based on the damage detected.
- Manufacturing Process Improvement: In production lines, the damaged eyeglasses identifier can monitor the manufacturing process for defects in real-time. This allows for immediate feedback and adjustments, reducing waste and improving overall product quality.
- E-commerce Returns Processing: Online eyewear retailers can integrate this technology into their return processing systems. When customers return eyeglasses, the identifier can quickly verify the damage level, aiding in efficient processing of refunds or exchanges without manual inspection delays.
- Customer Support Automation: The identifier can be integrated into customer support systems to assist representatives in assessing damage claims. This technology can provide an initial evaluation before a live agent steps in, speeding up the support process and improving customer experience.
- Repair Service Optimization: Eyeglass repair services can leverage the identifier to quickly assess the type and extent of damage upon receipt. This helps in prioritizing repairs based on severity and optimizing the allocation of resources for efficient turnaround times.
- Preventative Maintenance for Display Models: Optical shops using display models can deploy the identifier to regularly check for wear and tear on showcased eyeglasses. This proactive approach helps maintain a pristine presentation of products, which is crucial for attracting customers in a retail environment.