Identify if solar panel is facing up
using AI
Below is a free classifier to identify if solar panel is facing up. Just upload your image, and our AI will predict if the solar panel is facing up - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-solar-panel-is-facing-up", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-solar-panel-is-facing-up/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-solar-panel-is-facing-up/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the solar panel is facing up.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Solar Panel Facing Up and Solar Panel Not Facing Up.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the solar panel is facing up).
Whether you're just curious or building if solar panel is facing up detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if solar panel is facing up at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Field Maintenance Optimization: This function can be employed by field technicians to quickly assess the orientation of solar panels during maintenance inspections. By identifying which panels are facing up, teams can prioritize repairs and ensure maximum energy efficiency.
- Quality Control in Manufacturing: Manufacturers of solar panel technology can integrate this function to verify proper panel orientation during assembly. Automatically ensuring that all panels are correctly oriented before shipping can minimize returns and enhance overall product quality.
- Remote Monitoring Systems: Solar farm operators can use this classification function to monitor panels remotely, ensuring they are correctly oriented without the need for frequent physical inspections. This can help in early identification of misalignments or panels that have been disturbed by storms or other environmental factors.
- Installation Verification: Installation companies can utilize this function as part of their post-installation checklist to verify that all panels are installed at the correct angle for optimal sunlight capture. This reduces rework and increases client satisfaction by ensuring better system performance.
- Energy Production Forecasting: Energy management systems can incorporate this function to enhance forecasting models by evaluating the orientation of solar panels across different sites. Understanding panel orientation can improve predictions related to energy production and system efficiency.
- Insurance Assessment: Insurance companies can use the identifier to assess damage claims related to solar panels post-storm or natural disasters. By verifying the orientation of panels in submitted images, insurers can better gauge the extent of damage and speed up the claims process.
- Mobile Apps for DIY Installations: Developers of mobile applications designed for DIY solar panel installations can integrate this function to assist users in verifying their setup. By uploading images for analysis, users can confirm if their panels are correctly placed and avoid costly mistakes during installation.