Identify lighting type
using AI
Below is a free classifier to identify lighting type. Just upload your image, and our AI will predict the type of lighting in your image - 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("lighting-type", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/lighting-type/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/lighting-type/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the type of lighting in your image.
This pretrained image model uses a Nyckel-created dataset and has 22 labels, including Ambient, Artificial, Backlight, Daylight, Diffused, Fluorescent, Halogen, Hard, Incandescent and Indirect.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the type of lighting in your image).
Whether you're just curious or building lighting type detection into your application, we hope our classifier proves helpful.
Need to identify lighting type at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Smart Home Automation: A lighting type identifier can be integrated into smart home systems to automatically adjust light sources based on user preferences or time of day. For example, if the system recognizes that a certain room is lit by incandescent bulbs, it could suggest optimal settings for energy efficiency or enhance mood with compatible smart lighting options.
- Energy Management Solutions: Businesses can leverage a lighting type identifier to perform energy audits and monitor usage effectively. By classifying the types of lights in use, companies can gain insights into their energy consumption patterns and identify areas for potential cost savings through retrofitting or upgrading to energy-efficient lighting.
- Retail Store Optimization: Retailers can utilize the identifier to assess and optimize their in-store lighting setups. By understanding which types of lighting are present, they can fine-tune illumination to improve product visibility, enhance customer experience, and boost sales through strategic lighting adjustments.
- Lighting Compliance Verification: Building managers and compliance officers can use the lighting type identifier to ensure that all facilities adhere to local lighting regulations and energy efficiency standards. This function can streamline inspections and help organizations avoid fines associated with non-compliance.
- Event Planning and Management: Event organizers can use the identifier to assess venue lighting conditions before setting up equipment or decorations. By understanding the existing lighting types, organizers can choose complementary lighting designs to create the desired ambiance and atmosphere for their events.
- Augmented Reality Applications: In augmented reality (AR) environments, a lighting type identifier can enhance user experience by adjusting virtual elements according to the real-world lighting conditions. This function ensures that digital overlays blend seamlessly with the physical environment, providing a more immersive and realistic AR experience.
- Research and Development in Lighting Technologies: Researchers can utilize the identifier in studies focused on the efficacy and adaptability of different lighting types for various applications. By classifying real-world data on lighting usage, they can drive innovation in creating smarter, more adaptable lighting solutions that cater to specific needs across industries.