Identify if product is damaged
using AI
Below is a free classifier to identify if product is damaged. Just upload your image, and our AI will predict if the product is damaged - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-product-is-damaged", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-product-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-product-is-damaged/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the product is damaged.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Damaged and Not Damaged.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the product is damaged).
Whether you're just curious or building if product is damaged detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if product is damaged at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Quality Control Automation: This use case involves integrating the image classification function into the quality control process of manufacturing lines. By automatically identifying damaged products, the system can quickly flag items for rework or disposal, reducing manual inspection time and increasing overall production efficiency.
- E-commerce Returns Management: E-commerce platforms can use this classification function to assess the condition of returned products upon receipt. By quickly identifying damaged items, the platform can streamline the returns process and improve customer satisfaction by offering immediate replacements or refunds.
- Inventory Management: Retailers can use the image classification system to monitor product conditions in their warehouses. This use case helps keep track of damaged stock, enabling timely actions that reduce financial losses and maintain an accurate inventory count.
- Customer Support Enhancement: Customer service teams can leverage the image classification function when customers report issues with products. By quickly classifying and verifying the condition of the returned item through images, teams can tailor responses and resolutions, leading to improved customer experiences.
- Supply Chain Optimization: Logistics companies can apply the damaged product identifier to monitor goods during transportation. By assessing products for damage during transit, companies can take proactive measures to address issues, ensuring timely deliveries and reducing the need for costly returns or replacements.
- Retail Store Audits: Retailers can implement this classification function during regular store audits to evaluate product conditions on the shelves. This helps retailers maintain high standards for product display and ensure that damaged items are promptly removed, which can enhance overall customer perception and sales.
- Warranty Claims Processing: Manufacturers can utilize the image classification function to streamline warranty claim assessments. By quickly identifying and categorizing damaged products submitted by customers, the company can expedite the claims process, improving customer trust and reducing administrative overhead.