Infrared impulse thermography for sub-surface defect detection
Heat a surface for an instant, watch it cool, and hidden voids and delaminations appear. How impulse thermography works, its limits, and the MYW.AI 4 QM research context.
Blog topic
Vision, thermal, depth, sound and vibration: how combining sensing modalities reveals what one sensor misses.
8 articles
Heat a surface for an instant, watch it cool, and hidden voids and delaminations appear. How impulse thermography works, its limits, and the MYW.AI 4 QM research context.
Forty terms that come up when mechanical engineers, electronics designers and data scientists build multimodal sensing systems together, each defined in one to three sentences.
A practical workflow for labelling vibration, sound, video and thermal data together: label schemes, label propagation with time uncertainty, weak labels and quality checks.
A channel-by-channel checklist for specifying vibration, acoustic, vision, thermal and depth sensors on a multimodal test rig, including the time and data questions people forget.
Every sensor has its own oscillator, and they all disagree. How clock offset and drift arise, how to measure them and what a recording should store so data can be aligned later.
Five structural reasons a single sensor misses machine faults or raises false alarms, an illustrative pump example and a checklist for deciding when to add a second modality.
A modality-by-modality look at cameras, thermal cores, time-of-flight, microphones and accelerometers: what each one sees, what it misses and what fools it.
Multimodal sensing measures one machine through several physical channels at once. What it is, which modalities matter, how the data is fused and how to start.
Next step
Write to us and we pass your question to the author.