Identify how many phones are present
using AI
Below is a free classifier to identify how many phones are present. Just upload your image, and our AI will predict how many phones are present in the image - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("how-many-phones-are-present", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/how-many-phones-are-present/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/how-many-phones-are-present/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict how many phones are present in the image.
This pretrained image model uses a Nyckel-created dataset and has 12 labels, including Eight Phones, Five Phones, Four Phones, More Than Ten Phones, Nine Phones, One Phone, Seven Phones, Six Phones, Ten Phones and Three Phones.
We'll also show a confidence score (the higher the number, the more confident the AI model is around how many phones are present in the image).
Whether you're just curious or building how many phones are present detection into your application, we hope our classifier proves helpful.
Need to identify how many phones are present at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Retail Inventory Management: This function can be employed by retail stores to automatically identify the number of mobile phones present on the sales floor. By integrating this with inventory systems, businesses can ensure optimal stock levels and reduce the likelihood of stockouts or overstock situations.
- Smart Home Monitoring: In smart home environments, the function can be used to track the number of mobile devices present in a household. This information can help in configuring network settings and enhancing security measures based on the number of active devices.
- Event Attendance Tracking: During events or conferences, the identifier can help organizers count the number of participants based on the number of phones detected. This real-time data can be used for crowd management and to enhance the overall attendee experience.
- Mobile Retail Analytics: Retailers can leverage this technology to analyze foot traffic and customer behavior by determining how many phones are present in specific store areas. This data can drive marketing strategies and store layouts to enhance customer engagement.
- Campus Security Solutions: Universities can utilize this function to monitor the presence of mobile phones across campus areas. It can enhance safety protocols by identifying crowded places or unauthorized access to restricted areas based on the number of detected devices.
- Transportation Optimization: Public transportation systems can deploy this identifier to analyze the number of passengers using mobile devices on buses or trains. This data can help optimize schedules, routes, and seating arrangements for better service delivery.
- Mobile Device Research: Research institutes can apply this function to gather data on mobile device penetration in public places, helping to understand trends in technology use. This information can be critical for market analysis and developing strategies for product deployment.