Identify medical devices by logo
using AI
Below is a free classifier to identify medical devices by logo. Just upload your image, and our AI will predict the type of medical device based on its logo - 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("medical-devices-by-logo", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/medical-devices-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/medical-devices-by-logo/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the type of medical device based on its logo.
This pretrained image model uses a Nyckel-created dataset and has 20 labels, including Abbott, Admedus, Baxter, Biotronik, Boston Scientific, Cardinal Health, Conmed, Ethicon, Fresenius and Ge Healthcare.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the type of medical device based on its logo).
Whether you're just curious or building medical devices by logo detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify medical devices by logo at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Logo-Based Device Verification: This function can be used to verify the authenticity of medical devices by identifying their logos. This ensures that healthcare providers receive genuine equipment from manufacturers, thereby reducing counterfeit products in the market.
- Regulatory Compliance Monitoring: Medical device manufacturers can utilize the logo identification feature to ensure their products comply with regulatory standards. By monitoring devices against registered logos, firms can quickly identify any unauthorized or non-compliant products.
- Inventory Management: Hospitals and medical facilities can implement this classification function to streamline their inventory management. By recognizing device logos, organizations can efficiently track and manage the procurement and usage of various medical devices.
- Brand Recognition Analytics: Market researchers can analyze brand presence and distribution by identifying logos on medical devices. This data can help assess market trends, competitive positioning, and potential product recall issues.
- Training and Education: This functionality can be included in training programs for healthcare professionals. By familiarizing users with the logos of different medical devices, staff can better understand product specifications and usage, ensuring patient safety and care.
- Fraud Detection in Sales: Sales teams can utilize logo identification to detect fraudulent claims from suppliers who may misrepresent their products. By validating logos, organizations can ensure that they are purchasing from legitimate vendors, safeguarding their revenue and reputation.
- Product Recall Management: In the event of a product recall, this classification function can assist companies in quickly identifying and communicating with stakeholders. By recognizing the logos on devices, organizations can efficiently notify users and track the status of affected products.