Identify if the under-cabinet light is on using AI

Below is a free classifier to identify if the under-cabinet light is on. Just upload your image, and our AI will predict if the under-cabinet light is on - in just seconds.

if the under-cabinet light is on identifier

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-the-under-cabinet-light-is-on", "your_image_url", credentials)
            

fetch('https://www.nyckel.com/v1/functions/if-the-under-cabinet-light-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-under-cabinet-light-is-on/invoke
            

How this classifier works

To start, upload your image. Our AI tool will then predict if the under-cabinet light is on.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Light Is Off and Light Is On.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the under-cabinet light is on).

Whether you're just curious or building if the under-cabinet light is on detection into your application, we hope our classifier proves helpful.

Recommended Classifiers

Need to identify if the under-cabinet light is on at scale?

Get API or Zapier access to this classifier for free. It's perfect for:



  • Smart Home Automation: The identifier can be integrated into smart home systems to automate other devices based on the status of the under-cabinet light. For example, when the light is turned on, the system could trigger a connected coffee maker or other kitchen appliances, streamlining morning routines.

  • Energy Efficiency Monitoring: Businesses can use this identifier to monitor energy consumption by tracking the usage of under-cabinet lighting during operational hours. By analyzing this data, companies can implement strategies to reduce energy costs, such as setting timers or sensors to turn lights off when not needed.

  • Enhanced Safety Features: Home security systems can utilize the identifier to improve safety. If the under-cabinet light is detected to be on during unusual hours, it could send alerts to homeowners, potentially indicating unauthorized access or suspicious activity in the kitchen.

  • Smart Cooking Assistance: In a smart kitchen environment, the identifier could trigger app notifications or voice prompts for cooking assistance when the light is switched on. This could include recipe suggestions, video demonstrations, or reminders for ingredient preparation, enhancing the cooking experience.

  • Maintenance Alerts: In commercial kitchens or restaurants, the identifier can be programmed to notify maintenance teams about potential malfunctioning lights that need replacement. This proactive approach can help maintain a well-lit environment, crucial for safety and operational efficiency.

  • User Behavior Analysis: Retail environments can use the identifier to gather insights into customer behavior by detecting patterns related to when under-cabinet lights are turned on. This information can aid in optimizing store layouts, lighting design, and product placement to enhance the shopping experience.

  • User Customization Settings: In IoT-connected homes, the identifier could allow users to customize their living environment based on their preferences. For instance, users could set different lighting moods or transitions when the under-cabinet light is activated, creating a personalized ambiance in their kitchens and workspaces.

Want this classifier for your business?

In just minutes you can automate a manual process or validate your proof-of-concept.

Get Access