Identify if the floodlight is on using AI

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

if the floodlight is on identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("if-the-floodlight-is-on", "your_image_url", credentials)
                

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

How this classifier works

To start, upload your image. Our AI tool will then predict if the floodlight is on.

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

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

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

Recommended Classifiers

Need to identify if the floodlight is on at scale?

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



  • Smart Security System: This use case involves integrating the floodlight identifier with a security camera system. When the floodlight is detected as being on, the system can trigger alerts or record video footage, enhancing security by indicating potential intrusions or unauthorized activity in real time.

  • Energy Monitoring: Organizations can utilize this identifier to track energy consumption related to floodlight usage. By analyzing when the floodlights are turned on, businesses can implement energy-saving measures and optimize their lighting schedules to reduce costs.

  • Event Management: For venues hosting events, the floodlight identifier can be used to automate lighting based on specific cues, such as crowd density or event timing. This enhances the audience experience while ensuring optimal visibility and safety during large gatherings.

  • Wildlife Conservation: Conservation efforts can benefit from this system by monitoring floodlight activation in wildlife reserves. When floodlights are on, it may signal human activity that can adversely affect local fauna, allowing conservationists to take necessary actions to protect wildlife.

  • Agricultural Automation: Farmers can implement the floodlight identifier to manage outdoor lighting for crops. The system can inform farmers when artificial lighting is necessary, helping to improve growing conditions and optimize yields depending on the time of day and weather conditions.

  • Urban Infrastructure Management: City planners can use the floodlight identifier data to maintain street and park lighting effectively. By monitoring when floodlights are active, municipalities can identify malfunctioning lights, improving public safety and reducing maintenance costs.

  • Connected Home Solutions: In smart home environments, the floodlight identifier can work with other IoT devices to enhance home safety and efficiency. Homeowners can receive notifications if the floodlight is activated, and then automate responses, such as turning on security cameras or alerting the homeowner remotely.

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