Identify if workstation is on
using AI
Below is a free classifier to identify if workstation is on. Just upload your image, and our AI will predict if the workstation 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-workstation-is-on", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-workstation-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-workstation-is-on/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the workstation is on.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Workstation Off and Workstation On.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the workstation is on).
Whether you're just curious or building if workstation is on detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if workstation is on at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Energy Management System: Organizations can integrate the 'is workstation on' identifier into their energy management systems to optimize power consumption. By determining whether workstations are active, companies can implement automated power-saving measures, reduce energy costs, and contribute to sustainability goals.
- Remote Monitoring for IT Support: IT departments can utilize this function to check the status of workstations remotely. This capability allows for proactive support, as technicians can identify and troubleshoot issues only for active machines, saving time and ensuring more efficient resource allocation.
- Workforce Productivity Analysis: Businesses can employ this identifier to analyze workstation usage patterns and ascertain productivity levels. By tracking when machines are turned on or off, organizations can make data-driven decisions regarding resource allocation, employee performance, and even office space planning.
- Security Surveillance: Integrating the identifier into a security framework enables real-time monitoring of workstation statuses for enhanced security protocols. This can help identify unauthorized usage, alert security personnel when workstations are unexpectedly active, and enforce checkpoint protocols during off-hours.
- Maintenance Scheduling: This function aids in predictive maintenance by monitoring workstation activity. When a workstation is identified as consistently on during peak hours, maintenance can be scheduled during off-peak times to minimize disruption and ensure consistent performance.
- Technical Training and Support: Companies can use this function to streamline the delivery of training and support sessions. By identifying active workstations, trainers can tailor sessions based on user activity, ensuring that resources are focused on users who would benefit most from guidance.
- Compliance and Auditing: Organizations can leverage the 'is workstation on' identifier to assist in compliance tracking and auditing processes. By maintaining records of workstation usage, compliance teams can ensure that usage policies are adhered to and validate that systems are used appropriately across the organization.