Identify daycare children count using AI

Below is a free classifier to identify daycare children count. Just upload your image, and our AI will predict the number of children in a daycare setting. - in just seconds.

daycare children count identifier

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("daycare-children-count", "your_image_url", credentials)
            

fetch('https://www.nyckel.com/v1/functions/daycare-children-count/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/daycare-children-count/invoke
            

How this classifier works

To start, upload your image. Our AI tool will then predict the number of children in a daycare setting..

This pretrained image model uses a Nyckel-created dataset and has 16 labels, including 1-5, 101-200, 11-15, 16-20, 201-300, 21-25, 26-30, 301-400, 31-35 and 36-40.

We'll also show a confidence score (the higher the number, the more confident the AI model is around the number of children in a daycare setting.).

Whether you're just curious or building daycare children count detection into your application, we hope our classifier proves helpful.

Recommended Classifiers

Need to identify daycare children count at scale?

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



  • Attendance Verification: This function can be utilized to confirm the number of children present in a daycare setting. By classifying images taken at the beginning of the day, daycare operators can ensure that attendance records are accurate and up-to-date.

  • Safety Monitoring: The false image classification feature ensures that child counts remain within safe limits. In scenarios where too many children are present, alerts can be generated for daycare staff to take immediate action to ensure compliance with safety regulations.

  • Enrollment Management: By analyzing images of children during specific activities, daycare centers can better manage enrollment numbers based on attendance trends. This helps in making strategic decisions regarding space allocation, staffing, and resource management.

  • Parental Notifications: The function can be implemented to send real-time notifications to parents about their child's presence in the daycare. Automatically updating parents can enhance communication and instill trust in the daycare's operations.

  • Enhanced Reporting: Utilizing this image classification function allows daycare operators to generate detailed reports on attendance patterns over time. These insights can guide operational improvements and drive better budgeting decisions based on actual use.

  • Activity Planning: By accurately counting children participating in various activities, daycare providers can tailor programs to ensure appropriate engagement and resource allocation. This ensures that activities are not overcrowded and that each child receives adequate attention.

  • Audit Compliance: This function provides a reliable mechanism for audits related to child safety and occupancy regulations. By maintaining an accurate count of children in real-time, daycare facilities can provide evidence for compliance checks and mitigate potential liabilities.

Want this classifier for your business?

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

Get Access