Unless I missed something, it seems the "POC" device still made no effort to address this, which is the core feature — it just demonstrated classifying some other common materials. If that's true then the conclusions make no sense to me - why would customers be lining up if you still haven't proven the actual concept?
(Of course, the place I've dealt with this the most was a former post office building from the late 1930s - we didn't really need tests, a historian would probably have just said "of course you have asbestos" :-) It does expose an interesting problem with the labeling part, though: USPS as an ancient federal agency has its own rules for things and had a distinct asbestos markers - an A in a point-down triangle - which we fortunately found documentation for, it isn't public record.)
Isnt mmWave pretty similar (in theory) to short-ish range wireless directional antennas? What people used to call point to point "microwave" transmission?
Crazy idea but could your mmWave radar hardware also be (not simultanouslyl) used to transmit data? No idea what a Rotman Lens is but I would imagine that maybe it could be useful for transmission as well.
I've been down the mmWave rabbit hole for the last 6 months, making sensors to put around the house to control automations for lights and so forth. They're pretty great.
For my use case the advantage over PIR is they do presence detection, so no more lights shutting off when you're sitting on the toilet.
Pretty amazing you can pick up basic mmWave sensors for a few bucks on amazon, and mate them to an esp32 board which is another couple bucks. It's so much fun as a hobby!
If you'd like to learn more about the module:
https://www.ti.com/tool/IWRL6432BOOST
Edit: maybe I am seeing AI everywhere! False positive. :-)
I'm sure this can be annoying when people do this, but I can't help myself lol. I wonder if you could operate in a different modality and find discontinuities in material properties rather than use it as a classifier. For some reason skin cancer detection popped into my head, but general purpose inspection/detection cases for any discontinuities might be pretty helpful. Depending on the resolution/size of the field it's inspecting a realtime camera overlay might be interesting for correlation sake.
Does it also work through other materials. i.e. through a drywall etc.
Like if you trained a machine learning algorithm to differentiate 10 samples of asbestos containing material from 10 non-asbestos containing materials I wouldn't believe it would work with all the many kinds of materials you would find out in the field in all the configurations that are out there.
All that talk of how the electromagnetic properties of asbestos-containing materials are different are pretty handwavy and lack a theoretical explanation of where the dividing line between different materials ought to be. Overall it strikes me as the kind of half-baked idea that people suddenly feel empowered to do thanks to AI.
very cool project