Identify if dryer is on
using AI
Below is a free classifier to identify if dryer is on. Just upload your image, and our AI will predict if the dryer is on - 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-dryer-is-on", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-dryer-is-on/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-dryer-is-on/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the dryer is on.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Dryer Off and Dryer On.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the dryer is on).
Whether you're just curious or building if dryer is on detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if dryer is on at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Smart Home Integration: By integrating the 'is dryer on' identifier into smart home systems, users can receive real-time notifications on their mobile devices regarding the status of their dryers. This functionality aids in energy management and helps prevent potential dryer-related hazards.
- Laundry Automation: In a laundry facility, the 'is dryer on' function can be used to manage multiple drying machines more efficiently. Staff can monitor the status of each dryer from a centralized system, reducing the time spent checking individual machines and optimizing workflow.
- Appliance Maintenance Alerts: The identifier can be integrated with maintenance systems to track dryer usage over time. If a dryer operates unusually long or is frequently left on, alerts can be sent to users for maintenance interventions, enhancing appliance longevity.
- Energy Consumption Tracking: Businesses can employ the 'is dryer on' function to collect data on energy usage patterns. This information can help in analyzing operational costs and making informed decisions to improve energy efficiency and reduce overheads.
- Health and Safety Compliance: Facilities such as laundromats or residential buildings can use the identifier to ensure dryers are not left running unattended, which can pose fire risks. Implementing this system can help promote safety protocols and reduce liability concerns.
- User Behavior Insights: By analyzing the dryer usage data collected from the identifier, businesses can gather insights into user behavior and preferences. This information can inform marketing strategies, promotions, and service adaptations tailored to customer needs.
- Integration with Laundry Apps: The 'is dryer on' identifier can be built into laundry mobile applications, allowing users to monitor their laundry remotely. This not only enhances user convenience but also encourages more engagement with the app, potentially leading to new service offerings.