Identify if reception seat is occupied using AI

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

if reception seat is occupied identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("if-reception-seat-is-occupied", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/if-reception-seat-is-occupied/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-reception-seat-is-occupied/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict if the reception seat is occupied.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Seat Occupied and Seat Unoccupied.

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

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

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Need to identify if reception seat is occupied at scale?

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



  • Visitor Management Optimization: The system can enhance visitor management processes by automatically detecting when the reception seat is occupied. This allows organizations to allocate resources more effectively, ensuring that visitors receive timely assistance and improving overall service quality.

  • Staffing Efficiency Analysis: Businesses can analyze the occupancy data of reception seats to assess staffing needs during peak and off-peak hours. By identifying patterns in seat occupancy, management can optimize workforce schedules, reducing costs while maintaining operational efficiency.

  • Enhanced Security Monitoring: Combining the seat occupancy identifier with existing security systems creates a more secure environment. If the reception seat is occupied unexpectedly during non-business hours, alerts can be triggered to notify security personnel of potential unauthorized access.

  • Customer Experience Improvement: By integrating the identifier into a customer service platform, businesses can offer proactive support to visitors. For example, if the reception is busy, the system can automatically notify relevant staff to assist visitors or direct them to an alternative waiting area.

  • Resource Allocation Insights: The identified occupancy rates can provide valuable insights into the need for additional reception resources, such as information kiosks or additional seating. By understanding occupancy trends, companies can make informed decisions regarding facility design and layout.

  • Data-Driven Decision Making: Collecting and analyzing data from the reception seat occupancy can assist leadership in making strategic decisions. Management can use this information to evaluate the effectiveness of their reception strategies and adjust policies based on real-time insights.

  • Operational Cost Reduction: By utilizing the identifier to determine optimal staffing levels based on actual need, companies can reduce labor costs tied to reception staffing. Automating certain functions when the seat is occupied can also lead to further efficiencies in operations and improved resource management.

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