Identify if patient has wristband on
using AI
Below is a free classifier to identify if patient has wristband on. Just upload your image, and our AI will predict if the patient has a wristband on - 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-patient-has-wristband-on", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-patient-has-wristband-on/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-patient-has-wristband-on/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the patient has a wristband on.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Wristband Off and Wristband On.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the patient has a wristband on).
Whether you're just curious or building if patient has wristband on detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if patient has wristband on at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Patient Identification Verification: This function can be employed in healthcare facilities to ensure that patients are wearing their identification wristbands. By confirming that a wristband is present, it reduces the risk of patient misidentification and enhances safety in administering treatments or medication.
- Access Control in Restricted Areas: The image classification can be integrated with security protocols in hospitals, where personnel and visitors wearing wristbands are allowed access to specific areas. This enhances security and ensures that only authorized individuals can enter sensitive locations.
- Attendance Tracking in Facilities: In rehabilitation centers or elder care facilities, the system can monitor and track patient attendance by assessing if they have their wristband on. This provides facility managers with accurate data on patient presence for safety and accountability purposes.
- Automated Patient Interaction: With the identification of wristbands, interactive kiosks or mobile applications can offer personalized services or health reminders when patients are detected. This helps in engaging patients more effectively regarding their health management while also streamlining communications.
- Emergency Response Optimization: In emergency situations, the identification of wristbands can streamline and prioritize responses based on patient need or status. The system can quickly ascertain who is present and potentially in need of urgent medical attention, facilitating quicker care delivery.
- Inventory Management of Wristbands: This function can assist in tracking the usage and distribution of wristbands within healthcare settings. By monitoring which patients are wearing wristbands, facilities can ensure they have adequate supplies and manage inventory more efficiently.
- Compliance Auditing and Reporting: The image classification can be used in compliance audits to verify that all patients are wearing wristbands as mandated by hospital policies. This ensures adherence to safety standards and can help in identifying areas for improvement in patient management protocols.