Identify home network device
using AI
Below is a free classifier to identify home network device. Just upload your image, and our AI will predict what type of home network device it is - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("home-network-device", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/home-network-device/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/home-network-device/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what type of home network device it is.
This pretrained image model uses a Nyckel-created dataset and has 20 labels, including Access Points, Digital Assistants, Ethernet Cables, Firewall Devices, Home Nas, Home Network Adapters, Iot Gateways, Mesh Systems, Modems and Network Attached Storage.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what type of home network device it is).
Whether you're just curious or building home network device detection into your application, we hope our classifier proves helpful.
Need to identify home network device at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Network Security Enhancement: The false image classification function can detect unauthorized devices trying to access a home network by distinguishing between legitimate devices and impostors. This enhances overall network security by allowing automated alerts and actions to be taken when suspicious devices are identified.
- Parental Control Management: This function can help implement parental controls by accurately identifying devices used by children. By flagging devices that are not recognized or are misidentified, parents can take appropriate actions to manage screen time and content access.
- Automated Device Inventory: The classifier can assist in maintaining an updated inventory of all devices connected to the home network. By accurately identifying each device, users can keep track of devices they own and quickly detect any unauthorized or forgotten devices.
- User Behavior Analytics: By classifying devices correctly, this function can help analyze user behavior based on the types of devices connected to the network. Understanding patterns and trends in device usage can provide insights into user habits, aiding targeted marketing or service improvements.
- Device-Specific Optimization: The function can identify device types to optimize network settings for specific devices, such as prioritizing bandwidth for streaming devices. This ensures that each device performs optimally based on its use case, enhancing user experience.
- Proactive Maintenance Alerts: By detecting nuances in image classification of home devices, the function can send alerts for devices that may need maintenance or updates. This proactive approach can reduce downtime and extend the lifespan of important network devices.
- Smart Home Integration: This classification function can improve the integration of smart home devices by ensuring each device is correctly recognized in a home automation system. This enhances the ability to create automation routines and improve inter-device communication.