Identify if smart phone is on
using AI
Below is a free classifier to identify if smart phone is on. Just upload your image, and our AI will predict if the smartphone is on - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-smart-phone-is-on", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-smart-phone-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-smart-phone-is-on/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the smartphone is on.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Smart Phone Is Off and Smart Phone Is On.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the smartphone is on).
Whether you're just curious or building if smart phone is on detection into your application, we hope our classifier proves helpful.
Need to identify if smart phone is on at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Smartphone Activation Tracking: This use case involves monitoring smartphone usage patterns within an organization. By identifying when smartphones are on, businesses can gain insights into employee engagement, optimize resource allocation for mobile devices, and ensure that essential applications are being utilized efficiently.
- Mobile App Performance Analytics: Companies can leverage the "if smart phone is on" identifier to analyze app performance in real-time. This insight helps developers understand user interaction rates, application load times, and peak usage periods, leading to more informed decisions regarding updates and feature improvements.
- Context-Aware Marketing: Retailers can use this functionality to provide contextual promotions to customers based on their device activity. If the customer's smartphone is on while near a store, targeted notifications and discounts can be sent, enhancing customer engagement and driving foot traffic.
- Emergency Response Systems: Public safety organizations can utilize this identifier to determine the availability of mobile devices during emergencies. By understanding if smartphones are powered on in certain areas, response teams can better assess the needs of people in distress and deliver timely and effective support.
- Device Usage Analytics for Enterprises: Businesses can analyze the activity of smartphones in their fleet to understand usage trends and help with inventory management. This data-driven approach allows for better decision-making regarding upgrades, replacements, and focused training on mobile applications.
- Smart Home Device Interactions: In smart home environments, the identifier can facilitate integrated experiences between smartphones and IoT devices. If a smartphone is on, it can trigger specific actions like adjusting lighting, controlling thermostats, or enabling security features based on user proximity and preferences.
- Location-Based Services: Travel and hospitality businesses can use this function to enhance customer experiences based on their smartphone status. For example, if a guest’s phone is on at a hotel, automated check-in processes can be initiated, and personalized service recommendations can be pushed directly to the device.