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AI Diagnostics
See the Solution
A picture is worth a thousand diagnostic readings. Use computer vision to spot what the human eye might miss.
Component Damage Recognition
Our AI is trained on millions of photos of failed capacitors, burnt contactors, and corroded coils. It identifies the 'signature' of failure before the component completely dies.
Wiring & Terminal Audit
Take a photo of a thermostat base or a control board. The AI verifies the wire colors match the terminal labels and flags potential shorts or loose connections.
Leak Signature Analysis
UV dye and oil stains have specific patterns. The AI analyzes these visual cues to confirm the severity and location of refrigerant leaks.
Process
How it works
1
Point & Shoot
Aim your camera at the circuit board, component, or data plate.
2
Neural Processing
Our vision model identifies components, wiring faults, or damage instantly.
3
Get Results
Receive an immediate overlay of what is failing and the recommended next step.
Benefits
Why it matters
Neural OCR
Read serial numbers and specs from sun-faded data plates.
Real-Time Overlays
See diagnostic labels superimposed on your phone's camera view.
Cloud Comparison
Instantly compare your photo against a library of 'Perfect System' references.
F.A.Q
Common Questions
How accurate is the photo diagnosis?
It is highly accurate for visual failures (92%+). For internal electrical issues, it provides a 'Confidence Score' and suggests physical tests to confirm.
Does it work in low light?
Yes, our vision engine is optimized for dark mechanical rooms and attic spaces, although a clear shot is always better for 100% accuracy.
Can it read damaged labels?
Often, yes. Even if part of the label is faded or scratched, our AI uses context and unit history to reconstruct missing characters.
Ready to transform your operations?
Join HVAC professionals using AI to lead the field.
