Identify motel occupants count
using AI
Below is a free classifier to identify motel occupants count. Just upload your image, and our AI will predict the number of occupants in a motel room - 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("motel-occupants-count", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/motel-occupants-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/motel-occupants-count/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the number of occupants in a motel room.
This pretrained image model uses a Nyckel-created dataset and has 12 labels, including 1-5, 101-200, 11-20, 201-300, 21-30, 301-400, 31-40, 401-500, 41-50 and 500+.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the number of occupants in a motel room).
Whether you're just curious or building motel occupants count detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify motel occupants count at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Occupancy Analytics: This function can be utilized by motel management to track and analyze occupancy trends over time. By understanding peak use periods, management can optimize staffing, inventory, and resource allocation accordingly.
- Dynamic Pricing Strategy: Motel operators can leverage occupancy data to implement dynamic pricing models. By adjusting rates based on real-time occupant counts, they can maximize revenue during high demand periods and attract guests during slower times.
- Resource Allocation Optimization: Portable electronic devices or cameras fitted with this function can allow motel operators to assess the number of guests in real-time. This enables targeted housekeeping and maintenance services, improving operational efficiency and guest satisfaction.
- Marketing Campaign Effectiveness: Marketing teams can use occupancy data to evaluate the success of their promotional campaigns. By correlating guest numbers during specific marketing efforts, they can better understand which tactics drive bookings and tailor future campaigns.
- Security Surveillance Enhancement: Integration of this function with existing surveillance systems can enhance motel security by monitoring unusual fluctuations in occupancy. In case of sudden spikes or drops, immediate alerts can be generated for security personnel to investigate potential issues.
- Customer Experience Personalization: By knowing the actual occupancy count, motels can tailor guest experiences according to the density of visitors. For instance, staff can plan personalized amenities or serve more exclusive dining options during quieter times.
- Compliance and Safety Monitoring: This function can assist motels in ensuring compliance with health and safety regulations regarding maximum occupancy limits. By regularly monitoring the number of occupants, motels can avoid penalties and enhance guest safety during emergencies.