Identify whether students are wearing mask
using AI
Below is a free classifier to identify whether students are wearing mask. Just upload your image, and our AI will predict if students are wearing masks - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("whether-students-are-wearing-mask-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/whether-students-are-wearing-mask-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/whether-students-are-wearing-mask-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if students are wearing masks.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Wearing Mask and Not Wearing Mask.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if students are wearing masks).
Whether you're just curious or building whether students are wearing mask detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify whether students are wearing mask at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- School Safety Monitoring: This use case leverages the image classification function to monitor compliance with mask-wearing in schools. Automated systems can alert staff when students are not wearing masks, allowing for immediate corrective actions to ensure health and safety protocols are followed.
- Event Access Control: Implement the mask identifier at entry points to events or gatherings hosted by educational institutions. This ensures that only individuals complying with mask mandates can enter, thus maintaining a safer environment for all attendees.
- Remote Learning Compliance: In hybrid learning models, use the classification function to check whether students participating in online classes via video are wearing masks if required. This can help institutions enforce health guidelines even in virtual settings.
- Statistics and Reporting: Schools can utilize the data collected from mask compliance to generate reports for health authorities or stakeholders. By analyzing trends over time, administrators can make informed decisions regarding health policies and protocols.
- Real-time Feedback for Students: Integrate the mask identifier into classroom management tools that provide real-time feedback to students. When a student is detected without a mask, an immediate notification can serve as a gentle reminder to comply with health guidelines.
- Emergency Preparedness Training: Use the mask identifier in simulations or training for emergency preparedness drills. This will help train students and staff on proper procedures during emergencies while ensuring adherence to health protocols.
- Compliance Incentives Program: Develop an incentives program that tracks mask-wearing compliance through the classification function. Schools can reward classes or groups that maintain high compliance rates, fostering a sense of community responsibility and adherence to health guidelines.