Identify check security features
using AI
Below is a free classifier to identify check security features. Just upload your image, and our AI will predict what security features are present - 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("check-security-features", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/check-security-features/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/check-security-features/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what security features are present.
This pretrained image model uses a Nyckel-created dataset and has 36 labels, including Accessible, Approved, Authentic, Complete, Compliance Achieved, Compliance Not Achieved, Compliant, Counterfeit, Damaged and Documented.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what security features are present).
Whether you're just curious or building check security features detection into your application, we hope our classifier proves helpful.
Need to identify check security features at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Fraud Detection in E-Commerce: The false image classification function can be employed by e-commerce platforms to verify product images against a database of legitimate security features. This helps in identifying counterfeit or misleading product listings, thereby protecting consumers and maintaining brand integrity.
- Document Verification in Financial Services: Financial institutions can utilize image classification to ensure that submitted documents, such as IDs or bank statements, possess valid security features. Detecting fake documents reduces the risk of fraud and enhances the overall security of transactions.
- Counterfeit Detection in Pharmaceuticals: Pharmaceutical companies can use this tool to confirm that product packaging includes all necessary security features. This ensures compliance with regulations and helps protect consumers from counterfeit drugs, ultimately ensuring public health safety.
- Event Ticket Validation: Event organizers can deploy image classification technologies to verify the authenticity of tickets at entry points. By checking security features, this solution minimizes the risk of counterfeit tickets entering events, enhancing the customer experience and revenue integrity.
- Brand Protection for Luxury Goods: Luxury brands can implement this function to authenticate their products during the manufacturing and distribution process. By validating the security features, brands can thwart gray market sales and maintain the exclusivity of their products.
- Identity Verification in Online Services: Online service providers can leverage image classification to authenticate user-uploaded images of identification cards. This process ensures that the IDs meet security standards, increasing trust while complying with KYC (Know Your Customer) regulations.
- Vehicle Registration Checking: Government agencies can apply image classification to evaluate images of vehicle registration documents for their security features. This enhances the integrity of the vehicle registration process by detecting fraudulent documents, thus contributing to better law enforcement and public safety.