Pretrained computer vision classifier
Identify a power cord is present with one API call.
A pretrained a power cord is present classifier that sorts an image into one of 2 categories. Use the a power cord is present API immediately, no training required, then adapt it to your own data when you need more.
Try the a power cord is present classifier
Drop in a photo and get the prediction back. No signup, no setup.
What this a power cord is present classifier recognizes
A sample of the 2 labels this pretrained classifier chooses between.
Need a label that isn't here? Clone the classifier into your Nyckel console and edit the label set to fit your data.
Call the a power cord is present API
Get your own copy of this classifier behind your own endpoint — callable from any HTTP client:
curl -X POST "https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke" \
-H "Authorization: Bearer YOUR_ACCESS_TOKEN" \
-H "Content-Type: application/json" \
-d '{"data": "https://example.com/photo.jpg"}'import requests
response = requests.post(
"https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke",
headers={"Authorization": "Bearer YOUR_ACCESS_TOKEN"},
json={"data": "https://example.com/photo.jpg"},
)
print(response.json())const response = await fetch("https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke", {
method: "POST",
headers: {
"Authorization": "Bearer YOUR_ACCESS_TOKEN",
"Content-Type": "application/json",
},
body: JSON.stringify({ data: "https://example.com/photo.jpg" }),
});
console.log(await response.json());$ch = curl_init();
curl_setopt($ch, CURLOPT_URL, 'https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke');
curl_setopt($ch, CURLOPT_RETURNTRANSFER, 1);
curl_setopt($ch, CURLOPT_POST, 1);
curl_setopt($ch, CURLOPT_POSTFIELDS, '{"data": "https://example.com/photo.jpg"}');
$headers = array();
$headers[] = 'Authorization: Bearer YOUR_ACCESS_TOKEN';
$headers[] = 'Content-Type: application/json';
curl_setopt($ch, CURLOPT_HTTPHEADER, $headers);
$result = curl_exec($ch);
curl_close($ch);
echo $result;Example response
{
"labelName": "No Power Cord",
"labelId": "label_...",
"confidence": 0.92
}Under the hood
Trained on a Nyckel-curated dataset covering 2 a power cord is present categories, served on Nyckel's own infrastructure — your image stays on Nyckel.
Send an image URL or file to the invoke endpoint; the response is a label with a confidence score.
Clone it, then correct predictions and add your own samples in the console — Nyckel retrains automatically, turning this into a custom model tuned to your data.
Where teams use a power cord is present classification
Home Appliance Monitoring
Smart home systems can utilize the power cord presence identifier to ensure that essential appliances like refrigerators and heaters are connected. This can prevent food spoilage and maintain a comfortable home temperature, sending alerts to users in case of disconnections.
Surveillance Systems
Security systems can employ this function to verify that surveillance cameras are powered. If a camera loses power unexpectedly, an alert can be generated, prompting immediate investigation to ensure security is not compromised.
Manufacturing Equipment Maintenance
In industrial settings, this identifier can detect when power cords to critical machinery are disconnected. This monitoring can streamline maintenance schedules, minimize downtime, and ensure operational efficiency by alerting staff to reconnect equipment promptly.
Energy Management Solutions
Smart energy management systems can leverage this functionality to track power consumption only when devices are connected. This promotes better energy efficiency by providing users with actionable insights based on device usage patterns.
Consumer Electronics Support
Tech support services for consumer electronics can use this identifier to assist users remotely. By confirming the presence of power cords, support can guide customers more effectively through troubleshooting processes for malfunctioning devices.
Data Center Operations
In data centers, ensuring all server racks are connected and powered is crucial for uptime. This identifier can provide real-time monitoring, alerting operators to any disconnected servers that could potentially disrupt service availability.
IoT Integration for Smart Devices
IoT devices that rely on constant power can utilize this functionality to communicate their status to users via mobile apps. By identifying power cord connectivity, users can remotely manage and control their smart home devices efficiently.
Common questions
What's the difference between a zero-shot and a Nyckel-trained classifier?
A zero-shot classifier uses a large foundation model's general knowledge to pick between your labels — no task-specific training, so new or edited labels work immediately. A Nyckel-trained classifier has been trained on labeled examples and runs on Nyckel's own infrastructure, which typically makes it faster, cheaper per call, and more accurate on data that resembles its training set. The "Under the hood" section on this page shows which kind this classifier is, and any classifier can be adapted into a trained one by adding your own examples.
How do I know whether this will work for my application?
Honestly: we can't know in advance — it depends on your data stream and how closely it resembles what this classifier has seen. The reliable way to find out is to measure it on your own data: start invoking the classifier with real traffic, or upload and annotate a set of images in the console — make sure they look like your production data, not idealized examples. Nyckel's evaluation metrics then show you exactly how it performs on that data before you rely on it.
What happens when it makes a mistake?
No classifier is perfect, so Nyckel is built around the correction loop: invokes can be captured for review, you confirm or correct predictions in the console, and corrections become training data. Over time the model adapts to your data distribution — accuracy on your traffic improves with use rather than staying fixed.
Do I need training data to get started?
No. This a power cord is present classifier works out of the box — clone it into your console and you'll have your own API endpoint in under a minute. Training data only enters the picture when you want to adapt it: your corrected predictions and uploaded samples improve the model, and you can also edit the label set to match your needs.
What does it cost to try?
Trying the classifier on this page is free with no signup. Cloning it requires a free account, and the free tier covers your first API calls each month — see nyckel.com/pricing for current limits and paid tiers.
Related classifiers
Ready to classify a power cord is present at scale?
Add this pretrained classifier to your Nyckel console — you'll get a live API endpoint in under a minute, and a path to a custom model when you need one.