Identify lighting zone separation
using AI
Below is a free classifier to identify lighting zone separation. Just upload your image, and our AI will predict the optimal lighting zone for different environments - 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-zone-separation", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/lighting-zone-separation/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-zone-separation/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the optimal lighting zone for different environments.
This pretrained image model uses a Nyckel-created dataset and has 16 labels, including Ambient Zones, Bright Zones, Clear Zones, Contrast Zones, Dark Zones, Dim Zones, Fluctuating Zones, Gradient Zones, Harsh Zones and Highlight Zones.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the optimal lighting zone for different environments).
Whether you're just curious or building lighting zone separation detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify lighting zone separation at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Smart Lighting Optimization: This function can be used to categorize different lighting zones within a smart home or office environment. By identifying lighting zone separations, automated systems can adjust light intensity and color temperature according to the specific requirements of each zone, enhancing energy efficiency and occupant comfort.
- Retail Space Management: Retailers can leverage the lighting zone separation identifier to optimize the shopping experience. By classifying areas based on natural and artificial light sources, they can strategically position products and displays to draw attention, thereby increasing sales and enhancing customer flow through the store.
- Indoor Agricultural Efficiency: In indoor farming environments, this function can help identify optimal lighting zones for different plant types. By ensuring proper light distribution according to zone requirements, farmers can improve crop yields and resource management.
- Real Estate Staging: The identifier can be used by real estate agents to assess lighting conditions in various zones within properties. This information can help in staging homes for viewings, ensuring each area is presented in the best light, enhancing aesthetic appeal and potentially leading to faster sales.
- Workplace Productivity Analysis: Organizations can utilize this function to analyze lighting across different zones in the workplace. By understanding how light impacts productivity, employers can make informative decisions on office layouts and lighting solutions that promote well-being and efficiency among employees.
- Event Venue Configuration: Event planners can apply the lighting zone separation identifier when setting up venues for events. By identifying various lighting needs across different sections of the venue, planners can create atmospheric experiences that are tailored to the event type, enhancing guest enjoyment.
- Safety and Security Surveillance: The function can assist in security operations by delineating different lighting zones in surveillance footage. By classifying well-lit and poorly lit areas, security teams can assess vulnerabilities and prioritize patrols or surveillance in zones requiring more attention for safety measures.