Identify hotel guests count
using AI
Below is a free classifier to identify hotel guests count. Just upload your image, and our AI will predict the count of hotel guests in different categories. - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("hotel-guests-count", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/hotel-guests-count/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/hotel-guests-count/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the count of hotel guests in different categories..
This pretrained image model uses a Nyckel-created dataset and has 8 labels, including 1-5, 101-200, 11-20, 201-500, 21-50, 500+, 51-100 and 6-10.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the count of hotel guests in different categories.).
Whether you're just curious or building hotel guests count detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify hotel guests count at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Real-Time Occupancy Monitoring: The false image classification function can help hotels accurately assess the number of guests in real-time by analyzing images from lobbies and common areas. This information can assist staff in managing crowd levels and ensuring a comfortable atmosphere for guests.
- Marketing and Promotions Optimization: By accurately identifying guest counts, hotels can tailor marketing strategies and promotional offers based on occupancy trends. This data-driven approach helps in targeting potential guests more effectively, improving occupancy rates during low seasons.
- Resource Allocation: Hotels can use the guest count data to optimize staffing and resource allocation, ensuring that enough staff members are available during peak times while minimizing costs during quieter periods. This leads to improved service quality and operational efficiency.
- Event Management: For hotels hosting events, the function can provide insights into guest attendance, enabling better planning for catering, seating, and services required. This ensures that the hotel is adequately prepared for the number of guests, enhancing their overall experience.
- Security and Safety Monitoring: The identification of guest counts can help improve safety protocols by allowing hotels to monitor if their premises exceed safety capacity limits. This function can trigger alerts or notifications to staff, promoting a secure environment for all guests.
- Guest Experience Enhancement: By analyzing guest count data in different areas of the hotel, management can identify which spaces are overcrowded and which are underutilized. This information allows for strategic adjustments to enhance guest experiences and encourage flow throughout the hotel.
- Competitive Analysis: Hotels can benchmark their guest counts against industry standards or local competitors using insights from the classification function. This analysis can inform strategic decisions related to pricing, promotions, and overall business development initiatives, keeping the hotel competitive in the market.