Identify if diaper is clean
using AI
Below is a free classifier to identify if diaper is clean. Just upload your image, and our AI will predict if the diaper is clean - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-diaper-is-clean", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-diaper-is-clean/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-diaper-is-clean/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the diaper is clean.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Diaper Clean and Diaper Dirty.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the diaper is clean).
Whether you're just curious or building if diaper is clean detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if diaper is clean at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Automated Diaper Monitoring: This function can be integrated into smart diaper systems that monitor the cleanliness of a diaper. Parents receive real-time notifications on their mobile devices, ensuring timely changes and reducing the risk of diaper rash.
- Healthcare Facility Management: In hospitals or daycare centers, this identification function could track the cleanliness status of diapers used on infants. It helps staff maintain hygiene protocols and ensures that all infants receive timely diaper changes, enhancing overall care.
- Smart Home Integration: This capability can be embedded into smart home systems for new parents. By connecting with smart diaper bins, the system can alert parents when a diaper needs changing, streamlining care routines and minimizing noise disruptions during sleep hours.
- Parental Guidance Apps: Apps catering to new parents can leverage this function to provide suggestions on changing schedules based on the diaper's cleanliness. This ensures that parents have push notifications for optimal diaper maintenance, promoting better health for infants.
- Marketplace Quality Control: Retailers of diapers can use this identifier in conjunction with machine vision to reflect real-time product quality. By ensuring that only clean, defect-free diapers make it to market shelves, they can improve customer satisfaction and brand loyalty.
- Research and Development: Diaper manufacturers can utilize this function during the product testing phase to gauge performance. By analyzing data on how well their products keep infants dry and clean, manufacturers can innovate and enhance their product lines.
- Data Analytics for Consumer Insights: By integrating this identifier into connected diapers, businesses can gather anonymized usage data over time. Analyzing this information helps identify patterns in diaper changing habits, helping companies tailor products and marketing strategies to meet consumer needs effectively.