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AI Diagnostics
See the Solution
A photo adds context that words can't. Use AI vision to capture equipment details and spot what a description might miss.
Component & Damage Recognition
Snap a photo of a suspect capacitor, contactor, or coil. The AI identifies what it's looking at and flags visible signs of failure — burn marks, bulging, corrosion — as evidence for the guided diagnosis.
Wiring & Board Review
Photograph a thermostat base or control board and ask the AI about it. It helps you trace terminals and reason about wiring against the symptom you're chasing, before you start pulling wires.
Nameplate & Label Reading
AI-powered OCR reads brand, model, and serial details from data plates — even sun-faded or partially damaged ones — and attaches them to the job.
Process
How it works
1
Point & Shoot
Aim your camera at the component or data plate and capture it in the app.
2
AI Analysis
The vision model identifies the equipment and any visible signs of trouble.
3
Get Next Steps
Findings feed the guided workflow, which tells you what to check or measure next.
Benefits
Why it matters
AI Vision OCR
Read serial numbers and specs from worn data plates.
Photos in the Workflow
Images become part of the diagnosis record and the final report.
Evidence, Not Guesswork
Visual findings are weighed together with your readings and symptoms.
F.A.Q
Common Questions
Can photos alone diagnose the system?
Photos are strong evidence, but ACLogics treats them as one input. For anything a picture can't prove — like an internal electrical fault — the guided workflow suggests the physical tests to confirm.
Does it work in low light?
Photos from dark mechanical rooms and attics generally work, though a clear, well-lit shot always gives the AI more to work with.
Can it read damaged labels?
Often, yes. Even if part of the label is faded or scratched, the AI uses context to make sense of what remains, and asks you to confirm anything uncertain.
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