Identify how many people are in the cafeteria using AI

Below is a free classifier to identify how many people are in the cafeteria. Just upload your image, and our AI will predict how many people are in the cafeteria - in just seconds.

how many people are in the cafeteria identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("how-many-people-are-in-the-cafeteria", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/how-many-people-are-in-the-cafeteria/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/how-many-people-are-in-the-cafeteria/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict how many people are in the cafeteria.

This pretrained image model uses a Nyckel-created dataset and has 17 labels, including 0 People, 1 Person, 2 People, 3 People, 4 People, 5 People, 6 People, 7 People, 8 People and 9 People.

We'll also show a confidence score (the higher the number, the more confident the AI model is around how many people are in the cafeteria).

Whether you're just curious or building how many people are in the cafeteria detection into your application, we hope our classifier proves helpful.

Recommended Classifiers

Need to identify how many people are in the cafeteria at scale?

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



  • Occupancy Monitoring: This function can be utilized to monitor the number of people in the cafeteria in real-time. By providing accurate counts, it helps manage crowd levels, ensuring compliance with health regulations and enhancing safety.

  • Resource Allocation: Cafeteria management can use the data to allocate resources effectively, such as staff and supplies. By knowing peak times and visitor counts, they can optimize operations, reduce waste, and improve customer service.

  • Customer Experience Enhancement: Understanding foot traffic patterns allows for the adjustment of service layouts and food offerings. This data-driven approach can improve customer experience by minimizing wait times and enhancing menu satisfaction.

  • Safety Compliance: The function aids in ensuring compliance with fire safety regulations regarding occupancy limits. By providing occupancy data, the cafeteria can proactively manage crowd sizes and minimize safety hazards.

  • Marketing Insights: Data on how many people frequent the cafeteria at different times can inform marketing strategies. This information can drive promotional campaigns and tailored marketing efforts to boost sales during off-peak hours.

  • Event Planning: During special events or promotions, knowing the expected number of attendees can help in planning logistics. Event coordinators can adjust seating, staffing, and menu options, ensuring a well-managed and enjoyable experience.

  • Health and Wellness Monitoring: The function can serve as a contribution to overall wellness programs by notifying cafeteria managers of overcrowding, thus encouraging social distancing practices when necessary. This feature supports a healthier environment for patrons.

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