Identify if washing machine is on
using AI
Below is a free classifier to identify if washing machine is on. Just upload your image, and our AI will predict if the washing machine is on - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-washing-machine-is-on", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-washing-machine-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-washing-machine-is-on/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the washing machine is on.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Washing Machine Off and Washing Machine On.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the washing machine is on).
Whether you're just curious or building if washing machine is on detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if washing machine is on at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Home Automation Integration: The 'is washing machine on' identifier can be integrated into smart home systems, enabling users to receive real-time updates about their laundry appliances. This functionality can trigger other smart devices, such as automatically adjusting energy usage or notifying users about cycle completion.
- Maintenance Alerts: By continuously monitoring whether the washing machine is on, businesses can develop predictive maintenance tools that alert users when their appliance is running more frequently than usual. This proactive approach can help reduce downtime and extend the appliance's lifespan through timely interventions.
- Energy Consumption Monitoring: This identification feature can assist users in tracking their energy consumption by logging when the washing machine is operational. With this data, users can make informed decisions regarding their laundry habits and potentially reduce energy costs by optimizing usage.
- Remote Monitoring for Laundry Services: Laundromats and service providers can employ this functionality to monitor multiple machines remotely. This capability allows for efficient resource management, alerting staff when machines are in use, which can enhance customer service by minimizing wait times.
- User Behavior Analytics: The 'is washing machine on' identifier can be used to analyze user behavior patterns related to laundry activities. Collecting this data can help manufacturers improve appliance design and features, tailored to customer habits and preferences.
- Laundry Cycle Optimization: Appliance manufacturers can leverage this feature for developing algorithms that optimize laundry cycles based on user habits and preferences. By understanding when machines are typically on, adjustments can be made to enhance efficiency and effectiveness.
- Smart Notifications: Incorporating this identifier into mobile applications can provide users with smart notifications, such as reminders to start laundry or alerts when cycles are completed. This added convenience can elevate the user experience while encouraging timely laundry management.