Identify drowsiness
using AI
Below is a free classifier to identify drowsiness. Just upload your image, and our AI will predict if the person is sleepy or not - in just seconds.
For informational purposes only. Nyckel is not offering official health advice.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("drowsiness-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/drowsiness-identifier/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/drowsiness-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the person is sleepy or not.
This pretrained image model uses the Drowsy CV Project dataset and has 2 labels, including Drowsy or Not Drowsy.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the person is sleepy or not).
Whether you're just curious or building drowsiness detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify drowsiness at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Transportation: Monitors driver alertness in commercial vehicles. Improves road safety by detecting signs of fatigue.
- Trucking companies: Implements real-time drowsiness detection for long-haul truck drivers. Reduces accidents caused by driver fatigue.
- Rideshare platforms: Integrates drowsiness detection into driver apps. Ensures passenger safety by alerting drowsy drivers.
- Aviation industry: Monitors pilot alertness during long flights. Prevents accidents caused by pilot fatigue.
- Train operations: Detects signs of drowsiness in train operators. Maintains rail safety by alerting fatigued personnel.
- Security firms: Monitors alertness of security guards during night shifts. Improves overall security effectiveness.
- Healthcare facilities: Detects drowsiness in medical professionals working long shifts. Prevents medical errors caused by fatigue.