Identify if the book light is on
using AI
Below is a free classifier to identify if the book light is on. Just upload your image, and our AI will predict if the book light is on - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-the-book-light-is-on", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-the-book-light-is-on/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-the-book-light-is-on/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the book light is on.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Light Off and Light On.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the book light is on).
Whether you're just curious or building if the book light is on detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if the book light is on at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Library Patrol System: This use case involves using the identifier to monitor whether book lights in a library are on, indicating that patrons are reading. Automated alerts can be sent to staff if the lights have been on for an extended period, prompting a check on potential issues such as patrons refusing to leave after hours.
- Adaptive Learning Environments: In educational institutes, classrooms can leverage this identifier to assess engagement levels. If the book lights are on, it can trigger the system to adjust the ambient environment, such as lighting or temperature, to create an optimal study atmosphere.
- Home Automation Insights: Smart home systems can integrate the identifier to track when individuals are reading at home. This data can be used to automate other systems, like turning off appliances or adjusting the thermostat during reading periods, promoting energy savings.
- Retail Bookstore Analytics: A retail bookstore can utilize the identifier to monitor which reading areas attract the most engagement. By analyzing how often book lights are on in different sections, managers can make informed decisions on product placements and promotions.
- Event Monitoring in Reading Rooms: For events such as book clubs or reading sessions, the identifier can help facilitate smooth operations. By detecting if lights are on, organizers can be notified to manage timings, ensuring sessions start or end on time.
- Reading Habit Analysis: Publishers can use the information from this identifier to gather insights about reading habits among their audience. By tracking the duration of light usage, they can analyze ebook engagement and tailor future marketing campaigns accordingly.
- Assistive Technology for the Visually Impaired: The identifier can be integrated into assistive technologies designed for visually impaired individuals. If the book light is on, it can activate audio descriptions or notifications, helping users attain a better reading experience.