Identify if the downlight is on
using AI
Below is a free classifier to identify if the downlight is on. Just upload your image, and our AI will predict if the downlight is on - 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-the-downlight-is-on", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-the-downlight-is-on/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-the-downlight-is-on/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the downlight is on.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Downlight Off and Downlight On.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the downlight is on).
Whether you're just curious or building if the downlight is on detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if the downlight is on at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Smart Lighting Control: This function can be integrated into smart home systems to enable automated lighting management. By identifying whether downlights are on, the system can optimize energy consumption and enhance convenience by turning lights off when not needed.
- Energy Monitoring Solutions: Businesses can utilize this function to develop energy monitoring applications that track downlight usage in commercial buildings. The insights gained can inform energy efficiency strategies and reduce operational costs associated with excessive lighting.
- Occupancy Detection: Incorporating the 'downlight is on' identifier can enhance occupancy detection systems in offices and public spaces. It can help determine whether spaces are in use, facilitating efficient resource allocation and cleaning schedules based on real-time lighting status.
- Smart Agricultural Lighting: In agricultural applications, this function can help monitor if grow lights are on in indoor farming setups. Accurate light status detection can assist in optimizing growth cycles and energy usage, ensuring crops receive appropriate illumination without wasting resources.
- Retail Environment Management: Retailers can use this function to assess customer engagement based on lighting usage. By monitoring downlight activity, they can analyze foot traffic and adjust lighting strategies to enhance the shopping experience and increase sales.
- Security System Enhancement: This identifier can be integrated into security systems to provide alerts when downlights are unexpectedly on or off outside of normal operating hours. This functionality can enhance property security by detecting unauthorized activity or ensuring compliance with operational protocols.
- DIY and Home Improvement Applications: Home improvement apps can leverage this function to guide users in smart renovations. By identifying the status of downlights, these applications can recommend solutions for energy-efficient upgrades, ensuring that lighting aligns with home energy goals.