SolarGuard AI

Solar Diagnostics for Pakistan

AI-powered diagnostics and performance analysis for solar panels, designed specifically for Pakistan's climate, installation conditions, and energy requirements.

Step 01 · Acquisition

Initialize Diagnostic Scan

Select an input source to begin the on-device inference pipeline.

Diagnostic Viewer

LIVE
Inference: —

Please take the photo directly from the front

  • Ensure the environment is clear with good daylight.
  • Avoid reflections of objects, buildings, or yourself on the glass.
  • Make sure the entire panel fits completely within the frame.
Solar panel preview
— × — px Model: Helios-3

Analysis Readout

Confidence distribution across 3 classes
Idle
Clean
0.0%
Dusty
0.0%
Damaged
0.0%

Estimated System Performance

—
—%
Max Capacity —
AI Factor —
Temp Derating —
Cell Temp —
Panel Age —
Panel Type —
Inference Time — ms
Input Tensor 1×3×224×224
Backend —

Why Use On-Device AI?

The entire inference pipeline runs in your browser. No uploads, no servers, no latency.

100% Private

All processing happens locally on your device. Your panel imagery never leaves the browser — zero data exfiltration, ever.

Lightning Fast

Powered by hardware-accelerated compute backends with WASM and SIMD. Sub-second inference on modern devices.

Edge Accuracy

Driven by the Helios-3 neural architecture — optimized for edge deployment without sacrificing classification accuracy.