Identify if nurses are wearing gloves
using AI
Below is a free classifier to identify if nurses are wearing gloves. Just upload your image, and our AI will predict if nurses are wearing gloves - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-nurses-are-wearing-gloves", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-nurses-are-wearing-gloves/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-nurses-are-wearing-gloves/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if nurses are wearing gloves.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Gloves Off and Gloves On.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if nurses are wearing gloves).
Whether you're just curious or building if nurses are wearing gloves detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if nurses are wearing gloves at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Compliance Monitoring: This use case focuses on ensuring that nurses wear gloves during patient care procedures. By implementing an image classification function, healthcare facilities can automatically monitor compliance, enhancing safety and infection control protocols in clinical settings.
- Infection Control Audits: Hospitals can utilize the glove-wearing identifier to conduct regular audits of nurses' adherence to infection control policies. This automated system can streamline the auditing process, allowing for real-time feedback and data collection to improve adherence rates.
- Training and Education: The classification function can aid in developing training modules for nurses. By analyzing instances of glove usage, healthcare administrators can identify areas needing improvement and create targeted educational content to bolster compliance among nursing staff.
- Incident Reporting: In case of a healthcare-associated infection, this function can provide vital evidence concerning glove usage during the procedure. By reviewing images and identifying non-compliance, healthcare providers can better assess incidents and implement corrective actions where necessary.
- Quality Assurance: The glove-wearing identifier can be integrated into a larger quality assurance framework within healthcare facilities. By aggregating data on glove usage, hospitals can evaluate the effectiveness of their protocols and make data-driven decisions to enhance overall patient safety.
- Resource Allocation: By analyzing glove usage patterns in various departments, administrators can better manage inventory and supply needs. This function can help identify areas where disposable glove use is high, prompting timely and effective supply chain management to avoid shortages.
- Patient Feedback: Utilizing the glove identifier in conjunction with patient feedback systems can improve overall patient satisfaction. When patients are assured that nurses consistently adhere to safety protocols, such as wearing gloves, it can lead to increased trust and confidence in their care.