Identify if a workout machine is empty using AI

Below is a free classifier to identify if a workout machine is empty. Just upload your image, and our AI will predict if a workout machine is empty - in just seconds.

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-a-workout-machine-is-empty", "your_image_url", credentials)


fetch('https://www.nyckel.com/v1/functions/if-a-workout-machine-is-empty/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-a-workout-machine-is-empty/invoke

How this classifier works

To start, upload your image. Our AI tool will then predict if a workout machine is empty.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Empty and In Use.

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

Whether you're just curious or building if a workout machine is empty detection into your application, we hope our classifier proves helpful.

Need to identify if a workout machine is empty at scale?

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

Smart Gym Management: This function can be integrated into gym management systems to monitor the availability of workout machines in real-time. By identifying whether a machine is empty, gym managers can optimize equipment usage, alert users about machine availability, and enhance overall member satisfaction.

Personal Training Assessment: Personal trainers can utilize this function to tailor workout plans based on the actual usage of machines. By knowing which machines are often free, trainers can create more efficient workout circuits that avoid waiting times and improve client performance.

Membership Engagement App: Fitness apps can incorporate this feature to notify users when specific workout machines are available. This will encourage members to visit the gym during off-peak hours, ultimately increasing engagement and usage rates.

Remote Fitness Monitoring: Home fitness centers can leverage this function to assist individuals in monitoring their equipment usage when training at home. By tracking when machines are not in use, users can be prompted to enhance their fitness routine by optimizing machine availability.

Health Club Analytics: Health clubs can analyze data from this function to understand machine utilization patterns. This information can inform equipment purchasing decisions, maintenance schedules, and overall strategies for improving gym facilities.

Corporate Wellness Programs: Companies offering fitness facilities can use this identifier to enhance their corporate wellness initiatives. Recognizing when workout machines are available facilitates scheduled group workouts or personal training sessions, promoting a healthier workplace environment.

Dynamic Pricing for Gym Memberships: Gyms can develop a dynamic pricing model based on machine availability. By adjusting membership fees or offering discounts during peak times when machines are empty, gyms can attract more users and balance out demand on their facilities.