Identify if lounge seat is occupied
using AI
Below is a free classifier to identify if lounge seat is occupied. Just upload your image, and our AI will predict if the lounge seat is occupied - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-lounge-seat-is-occupied", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-lounge-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-lounge-seat-is-occupied/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the lounge 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 lounge seat is occupied).
Whether you're just curious or building if lounge seat is occupied detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if lounge seat is occupied at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Real-Time Lounge Monitoring: This use case involves using the image classification function in airports or lounges to monitor seat occupancy in real-time. By providing live updates on seat availability, this solution can help guests find open seats quickly, improving their overall experience.
- Dynamic Lounge Access Control: Implementing the 'if lounge seat is occupied' identifier can enhance access control systems for exclusive lounges. The data can help manage guest access based on seat availability, ensuring that only authorized users can access the lounge when space is available.
- Occupancy Analytics for Resource Management: This use case focuses on gathering data on lounge seat occupancy over time. Analyzing this data will allow businesses to optimize their space, adjust staffing levels, and enhance resource allocation during peak times.
- Customer Experience Enhancement: Utilize the image classification function to inform guests if the lounge is at capacity before they arrive. By providing this information through an app or website, clients can make informed decisions, thus enhancing their overall experience and satisfaction.
- Event Planning and Space Utilization: Event planners can leverage the occupancy data to better understand space utilization during events held in lounges. This can lead to more effective layout designs and improved guest flow, ensuring a more enjoyable and comfortable event atmosphere.
- Automated Cleaning Schedule Optimization: This use case enables cleaning staff to optimize their schedules based on real-time occupancy data. By identifying which lounge seats are occupied, cleaning can be more efficiently timed to minimize disruption and maintain cleanliness.
- Feedback Loop for Service Improvement: Implementing an occupancy monitoring system can create a feedback loop for lounge services. If the data shows consistent high occupancy, businesses can consider expanding their lounge areas or enhancing services offered, leading to improved customer satisfaction.