Your team spent three months testing. You deployed with confidence. Users found 10 bugs in two days.

That story keeps playing out in embedded testing because the tools don't match the constraints. You can't install agents on a locked-down device. You can't get DOM access on a custom UI. You can't replicate a $250K+ piece of hardware on every tester's desk. So you fall back on manual execution, spreadsheets that drift, and homegrown scripts that only one person understands…until that person leaves and the whole thing gets shelved.

Meanwhile, every firmware update resets the regression clock, cybersecurity requirements keep shrinking what you're allowed to touch, and your release windows aren't getting any wider.

This session brings together two practitioners who've spent years in the trenches of embedded test automation across aerospace, defense, automotive, medical devices, and manufacturing.

They'll walk through why conventional automation breaks the moment you point it at air-gapped or restricted systems, what the real cost of "smart people building custom frameworks" looks like at year three, and how a non-invasive, vision-based approach lets you automate what your current tools can't reach — without touching the code, without installing anything on the device, and without modifying the system under test.

You'll walk away knowing:

• Why the custom framework your team built (or is about to build) will cost you more than it saves within 18 months


• How to run unattended regression overnight and catch defects like memory leaks before deployment — with audit-ready evidence your management actually trusts


• What it looks like to test across multiple embedded devices, peripherals, and third-party integrations from a single tool — no separate frameworks stitched together


• A demo: watch an embedded system tested entirely through computer vision and OCR, with zero access to the underlying code