Identify if students are sleeping
using AI
Below is a free classifier to identify if students are sleeping. Just upload your image, and our AI will predict if students are sleeping - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-students-are-sleeping", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-students-are-sleeping/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-students-are-sleeping/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if students are sleeping.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Awake and Asleep.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if students are sleeping).
Whether you're just curious or building if students are sleeping detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if students are sleeping at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Classroom Engagement Monitoring: This use case focuses on leveraging the 'if students are sleeping' identifier in classrooms to assess student engagement levels during lectures. Educators can receive real-time feedback on student attentiveness, allowing them to adjust their teaching strategies or content delivery as needed.
- Automated Attendance Tracking: The identifier can be incorporated into classroom management systems to verify attendance based on visibility of students during lectures. By identifying whether students are awake or not, institutions can ensure that attendance records are more accurate and reflective of true classroom participation.
- Stress Level Assessment: In educational settings, detecting when students are sleeping can serve as an indirect measure of their stress levels. By monitoring sleep patterns, schools can implement wellness programs aimed at easing stress, thereby enhancing overall student health and productivity.
- Event Management Analytics: At large events like workshops or seminars, this function can help determine audience engagement by identifying when participants are asleep. Event organizers can analyze these data points to improve future event scheduling and content to keep attendees more engaged.
- Online Learning Enhancement: For virtual classrooms, the identifier can be used to monitor students' attention levels to improve online course materials and delivery. Instructors can be alerted if a significant number of students appear to be disengaged, prompting them to pivot to more interactive content or methods.
- Parental Insights and Reports: Schools can utilize this data to generate reports for parents, providing insights into student engagement and participation during class. By sharing this information, parents can be better equipped to support their child’s educational experience and address any issues with engagement.
- Research and Development in Educational Tools: Developers of educational technology can incorporate this function in their tools to gather data on student attentiveness under various teaching methods. This data can be invaluable for creating new learning platforms and resources tailored to maintaining student engagement in diverse learning environments.