Identify if dock workers are sleeping using AI

Below is a free classifier to identify if dock workers are sleeping. Just upload your image, and our AI will predict if dock workers are sleeping - in just seconds.

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-dock-workers-are-sleeping", "your_image_url", credentials)


fetch('https://www.nyckel.com/v1/functions/if-dock-workers-are-sleeping/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-dock-workers-are-sleeping/invoke

How this classifier works

To start, upload your image. Our AI tool will then predict if dock workers are sleeping.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Dock Workers Awake and Dock Workers Sleeping.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if dock workers are sleeping).

Whether you're just curious or building if dock workers are sleeping detection into your application, we hope our classifier proves helpful.

Need to identify if dock workers are sleeping at scale?

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

Dock Safety Monitoring: This use case focuses on enhancing workplace safety by identifying dock workers who may be sleeping on the job. By implementing this classification function, management can ensure that workers remain alert and awake, reducing the risk of accidents and injuries during critical operations.

Productivity Assessment: The identifier can be used to assess productivity levels on the docks. By monitoring when and where employees are seen sleeping, management can better understand workflow dynamics and implement changes to optimize energy levels and task allocation.

Resource Allocation: This function can aid in human resource planning by providing real-time insights on worker alertness. By identifying patterns of fatigue, managers can allocate resources more effectively, scheduling breaks or additional staffing to support dock operations during peak times.

Health and Wellness Programs: Organizations can leverage this data to tailor health and wellness programs targeted at preventing worker fatigue. By identifying individuals who tend to sleep during work hours, tailored interventions such as stress management workshops or improved shift schedules can be offered.

Compliance and Accountability: The function serves as a tool for ensuring accountability among dock workers. By using the data gathered, managers can enforce compliance with company policies regarding performance and attendance, creating a culture of responsibility and professionalism.

Training Needs Identification: Analysis of sleeping patterns can highlight the need for additional training or support for dock workers. If certain roles consistently exhibit low alertness levels, this insight can inform the development of targeted training programs for better operational readiness.

Emergency Response Planning: In high-pressure environments, knowing which dock workers are prone to sleeping can enhance emergency response protocols. By having real-time alerts on worker statuses, emergency drills and responses can be better coordinated to ensure no one is left unattended during critical situations.