Identify whether hand is raised
using AI
Below is a free classifier to identify whether hand is raised. Just upload your image, and our AI will predict if a hand is raised - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("whether-hand-is-raised-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/whether-hand-is-raised-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-hand-is-raised-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if a hand is raised.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Hand Raised and Hand Not Raised.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if a hand is raised).
Whether you're just curious or building whether hand is raised detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify whether hand is raised at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Classroom Engagement Detection: This system can be implemented in educational institutions to automatically detect when a student raises their hand to ask a question. By analyzing video feeds, teachers can receive real-time insights into student engagement and easily identify those needing assistance, ultimately fostering a more interactive learning environment.
- Event Hosting Management: Event organizers can use this functionality during conferences or gatherings to monitor audience participation. By identifying raised hands, speakers can gauge interest and adapt their presentations in real time, ensuring a more engaging experience for attendees.
- Remote Collaboration Enhancement: In virtual meetings, this tool can analyze participants' video feeds to determine when someone raises their hand to speak. This feature can automatically notify the moderator, helping to manage discussions more effectively and ensuring everyone has a chance to contribute.
- Health Monitoring in Elderly Care: Care facilities can utilize this image classification to monitor residents at risk of needing assistance. Detecting a raised hand can trigger immediate alerts to staff, providing timely help and improving the overall safety and well-being of residents.
- Customer Service Optimization: Retail environments can implement this system to track customer inquiries through raised hands. Staff can be alerted to engage with customers needing assistance, thereby enhancing the overall shopping experience and increasing satisfaction.
- Interactive Gaming Experience: In interactive gaming or augmented reality applications, this technology can identify when players raise their hands to cast spells, make selections, or interact with game elements. This fosters a more immersive experience by enabling gesture-based controls that respond dynamically to player actions.
- Fitness Class Participation Tracking: Fitness instructors can integrate this function to monitor participants in group classes who raise their hands for help or clarification. By identifying these instances, instructors can provide targeted feedback and support, improving the effectiveness of the workout sessions.