Identify if someone is on their computer using AI

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

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-someone-is-on-their-computer", "your_image_url", credentials)


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

How this classifier works

To start, upload your image. Our AI tool will then predict if someone is working.

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

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

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

Need to identify if someone is on their computer at scale?

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

Employee Monitoring: Organizations can utilize the 'if someone is on their computer' identifier to monitor employee activity during work hours. This function helps ensure that employees are engaged in their tasks, potentially improving productivity and accountability within the workplace.

Remote Learning Engagement: Educational institutions can implement this function to identify whether students are present and actively engaged during online classes. By tracking student engagement, educators can adjust teaching strategies and intervene when students appear disengaged.

Digital Marketing Analytics: Marketers can leverage this function to understand consumer behavior by detecting when potential customers are active on their devices. This data can help optimize campaign timing and content delivery, ultimately improving conversion rates.

Technical Support Automation: Software and IT support teams can use the identifier to detect when users are actively using their devices. This information can trigger automated support tools or notifications, providing timely assistance to users facing issues while they are working.

Personalized Content Delivery: Streaming platforms can employ this function to identify when users are on their devices, enabling the delivery of personalized content recommendations in real time. This can enhance user satisfaction and retention by curating an enjoyable viewing experience.

Work-from-Home Policy Enforcement: Companies can utilize this identifier to ensure compliance with work-from-home policies by monitoring when employees are active on their computers. This can help organizations track productivity and adjust policies to suit remote work dynamics effectively.

Health and Wellness Monitoring: Wellness applications can integrate this function to remind users to take breaks or engage in physical activities when they have been on their computers for extended periods. This can promote a healthier work-life balance and improve overall well-being for users.