Identify whether backback is on the desk using AI

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

whether backback is on the desk identifier

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("whether-backback-is-on-the-desk-identifier", "your_image_url", credentials)
            

fetch('https://www.nyckel.com/v1/functions/whether-backback-is-on-the-desk-identifier/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/whether-backback-is-on-the-desk-identifier/invoke
            

How this classifier works

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

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Backpack On Desk and Backpack Not On Desk.

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

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

Recommended Classifiers

Need to identify whether backback is on the desk at scale?

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



  • Office Space Optimization: Organizations can use the backpack detection function to assess workspace utilization. By analyzing whether backpacks are left on desks, companies can determine if their workspaces are overcrowded or if additional desk-sharing practices are effective.

  • Remote Work Environment Monitoring: Companies can deploy this classifier to monitor employees’ work environments when working from home. By identifying whether backpacks are present, employers can gauge employee compliance with designated workspaces versus casual settings, which can impact productivity analysis.

  • Inventory Management for Shared Workspaces: Coworking spaces can utilize the backpack detection function to monitor desk occupancy. This can help manage desk availability and reduce clutter, ensuring that shared spaces are efficiently utilized and available for optimal use.

  • Security Enhancement: Businesses can implement the detection system for security purposes in office settings. By monitoring whether backpacks are on desks after hours, security personnel can receive alerts regarding potential unauthorized access or left-behind items.

  • Attendance Tracking: Schools and educational institutions can leverage this technology to track student attendance based on whether their backpacks are present in classrooms. This automated tracking can help reduce administrative burdens and increase the accuracy of attendance records.

  • Health and Safety Compliance: Organizations can use the backpack detection function to ensure desks remain free of clutter, which is important for health and safety regulations. By constantly monitoring desk cleanliness and organization, companies can promote a safer working environment.

  • Personalization of Workspace Services: Building managers can utilize the backpack identifier to tailor cleaning and maintenance schedules. By knowing which desks have backpacks regularly, they can prioritize cleaning and other services based on usage patterns to enhance employee satisfaction and productivity.

Want this classifier for your business?

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

Get Access