Identify if microwave is on using AI

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

if microwave is on identifier

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Get started

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

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

How this classifier works

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

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

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

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

Recommended Classifiers

Need to identify if microwave is on at scale?

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



  • Smart Kitchen Monitoring: Implement this function in smart kitchen appliances to enhance safety by visually detecting if the microwave is on. This can alert users through a mobile app, providing peace of mind especially when cooking unattended.

  • Energy Consumption Analysis: Utilize the identifier in energy management systems to track microwave usage in real-time. This data can help homeowners understand their energy consumption patterns and identify opportunities for energy savings.

  • Home Automation Integration: Integrate the function into home automation systems that manage multiple devices. Users can receive notifications or control other appliances based on whether the microwave is in use, enhancing efficiency in cooking and meal prep.

  • Remote Monitoring for Assisted Living: Deploy this function in assisted living environments to monitor kitchen activity for elderly residents. Caregivers can receive alerts if the microwave is left on for an extended period, promoting safety and preventing potential hazards.

  • Smart Appliance Notifications: Enhance microwave appliances with AI-driven notifications that inform users when cooking is completed or if the microwave has been forgotten. This feature can reduce food wastage and improve the user experience.

  • Culinary Education Tools: Utilize the identifier in culinary training programs to teach proper cooking methods and techniques. By monitoring when microwaves are in use, instructors can provide feedback and enhance the learning experience for students.

  • Commercial Kitchen Efficiency: Implement this function in commercial kitchens to monitor the usage of microwaves alongside other cooking appliances. Restaurant managers can analyze usage patterns to optimize workflows, ensuring better resource allocation and minimizing peak time bottlenecks.

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