Identify if diaper is dirty
using AI
Below is a free classifier to identify if diaper is dirty. Just upload your image, and our AI will predict if the diaper is dirty - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-diaper-is-dirty", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-diaper-is-dirty/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-dirty/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the diaper is dirty.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Clean Diaper and Dirty Diaper.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the diaper is dirty).
Whether you're just curious or building if diaper is dirty detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if diaper is dirty at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Smart Diaper Alert System: This system utilizes the ‘if diaper is dirty’ identifier to send real-time notifications to caregivers or parents when a diaper change is needed. This enhances hygiene and comfort for the child while reducing the risk of diaper rash.
- Automated Diaper Recognition in Smart Nurseries: In modern nurseries, this function can be integrated into smart baby monitors that automatically detect and alert staff when an infant's diaper is soiled. This allows for timely interventions, ensuring that all infants receive optimal care and attention.
- Diaper Supply Management: Retailers can implement this function in smart diaper bins or storage units to track and manage inventory based on usage rates. By knowing when diapers need changing, the system can optimize restocking schedules and reduce waste.
- Infant Monitoring Wearables: Wearable devices for infants could integrate this identification function to monitor and analyze diaper status throughout the day. Such wearables can provide parents with insights on their baby’s elimination patterns and overall health.
- Pediatric Health Monitoring: Pediatricians can use data from this identifier to assess a child’s diet and digestion patterns during routine check-ups. Analyzing the frequency and consistency of diaper changes can offer valuable information regarding a child's health.
- Smart Home Integration: The identifier can be incorporated into smart home systems to manage multiple devices simultaneously, creating a more connected environment. For example, when a dirty diaper is detected, the system could turn on a voice assistant to remind parents to perform the change.
- Diaper Waste Management Solutions: Waste disposal companies can integrate the ‘if diaper is dirty’ identifier into their services to optimize diaper waste collection routes. By identifying peak disposal times and locations, companies can enhance their efficiency and reduce environmental impact.