Identify if waiting room seat is occupied
using AI
Below is a free classifier to identify if waiting room seat is occupied. Just upload your image, and our AI will predict if the waiting room seat is occupied - 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-waiting-room-seat-is-occupied", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-waiting-room-seat-is-occupied/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-waiting-room-seat-is-occupied/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the waiting room seat is occupied.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Seat Available and Seat Occupied.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the waiting room seat is occupied).
Whether you're just curious or building if waiting room seat is occupied detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if waiting room seat is occupied at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Patient Flow Management: In a healthcare setting, the image classification function can monitor the occupancy of waiting room seats to gauge patient flow. By analyzing real-time data, staff can optimize appointment scheduling and reduce wait times.
- Emergency Response Coordination: In urgent care facilities, the system can identify occupied seats to alert staff immediately when a patient is waiting for assistance. This prompts healthcare providers to prioritize attention to patients in the waiting area based on seat occupancy.
- Occupancy Analytics for Improvement: Hospitals can leverage chair occupancy data for analytics, allowing them to better understand peak times and make adjustments to staff allocation or waiting room design. This data-driven improvement can enhance patient experience and operational efficiency.
- Patient Check-In Optimization: Automated check-in systems can use the seat occupancy data to direct patients to available seats. This reduces confusion in waiting areas and streamlines the check-in process, allowing for more efficient patient management.
- Queue Management System Integration: The identifier can be integrated into existing queue management systems to provide real-time updates on seat availability. This information can be relayed to patients via apps or screens in waiting areas, enhancing communication and reducing frustration.
- Facility Space Utilization Reports: The function can provide valuable insights into the utilization of waiting room space by tracking how often seats are occupied. Administrators can use this data to make informed decisions about room configurations and improve overall patient comfort.
- Accessibility Compliance Monitoring: In compliance with accessibility regulations, the system can monitor the availability of designated seating for patients with disabilities. This ensures that these essential seats are always ready and occupied only when necessary, contributing to a more inclusive environment.