Identify defective products
using AI
Below is a free classifier to identify defective products. Just upload your image, and our AI will predict whether a product is defective or not - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("defective-products-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/defective-products-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/defective-products-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict whether a product is defective or not.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Defective Product and Non-Defective Product.
We'll also show a confidence score (the higher the number, the more confident the AI model is around whether a product is defective or not).
Whether you're just curious or building defective products detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify defective products at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Quality Control in Manufacturing: The 'defective products' identifier can be used in the manufacturing sector to automate the quality control process. Through image classification, the system can quickly and accurately identify products with defects, leading to savings in terms of time and manpower.
- Electronics Testing: Consumer electronic manufacturers can use this tool to find faulty components during the assembly process. The function will identify defective parts, reducing the risk of faulty products reaching the market.
- Automotive Industry Efficiency: Car manufacturers could apply the 'defective products' identifier to identify faulty parts during assembly. It can significantly reduce the cost of recalls and improve overall customer satisfaction.
- Food Industry Quality Assurance: This function can be used to identify defective products in the food processing industry. By using binary image classification, it can detect if a processed food item is not up to the mark, ensuring only quality products make it to customers.
- Agricultural Product Grading: Farmers and agricultural businesses can use the 'defective products' identifier to grade produce. The tool will instantly separate high-quality produce from those with defects or not suited for sale or consumption.
- Textile and Apparel Quality Check: The 'defective products' identifier can be used in the textile industry to check for flaws in fabrics or finished clothing. This helps improve product consistency and reduce wastage.
- Pharmaceutical Inspection: For pharmaceutical manufacturers, this tool can be used to inspect and detect defects in medical products and capsules ensuring only safe, defect-free products reach the market.