Identify whether someone is reading or not
using AI
Below is a free classifier to identify whether someone is reading or not. Just upload your image, and our AI will predict if someone is reading - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("whether-someone-is-reading-or-not-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/whether-someone-is-reading-or-not-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-someone-is-reading-or-not-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if someone is reading.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Reading and Not Reading.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if someone is reading).
Whether you're just curious or building whether someone is reading or not detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify whether someone is reading or not at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Classroom Engagement Monitoring: Educators can utilize this classification function to assess student engagement levels in real-time during lectures. By analyzing images of students, insights can be derived about overall attention and participation, allowing teachers to adjust their teaching strategies on the fly.
- Library Resource Management: Libraries can implement this system to monitor the usage of reading areas and resources. By determining whether individuals are reading or not, library staff can better manage seating arrangements and availability of resources, ultimately improving the user experience.
- Public Transportation Observation: Public transit authorities can use this function to evaluate how many passengers are reading during their commute. This data can inform service improvements and help understand passenger behavior, which could lead to enhanced services or promotions for reading materials.
- Workplace Productivity Analysis: Businesses can assess employee engagement levels during work hours by checking if employees are focused on reading rather than engaging in other activities. This insight can help management identify productivity patterns and implement programs to promote a reading culture in the workplace.
- Digital Content Interaction: Online platforms can analyze user images to determine if users are reading digital content. This information can help in tailoring content delivery, optimizing user engagement strategies, and enhancing recommendations based on reading behavior.
- Event Monitoring: At events such as book fairs or conferences, this classification can be used to gauge attendee interest in literary materials. By understanding when attendees are engaged in reading, organizers can optimize layouts, schedules, and resource distribution to enhance the overall experience.
- Health and Wellbeing Programs: Organizations promoting mental wellness can leverage this function to track participation in reading programs intended to reduce stress and improve mental health. By identifying how many individuals are actively engaging with reading materials, tailored wellness initiatives can be developed and assessed for effectiveness.