A technical error in one of the diagrams: Hall effect sensors are not binary, but one-dimensional, and are used so; their output voltage is directly proportional to the magnetic field strength. As for PIR sensors, fundamentally they’re certainly not binary, but I have no idea if they perhaps expose only a binary signal. A better example of a binary sensor might be an on/off switch.
thats a good point about the hall sensors. i'll update that. PIR sensors also output an analog signal, but in practice they are binary.
mmWave radar, you won't see it coming
21–30 of 192 posts
Re: mmWave radar, you won't see it coming
#22"One of mmWave's major advantages is its privacy-preserving nature." Ha, haha, hahaha! It can measure your breathing, heart signature, gait, etc. With machine learning this data will certainly be enough to identify you.
Re: mmWave radar, you won't see it coming
#23A technical error in one of the diagrams: Hall effect sensors are not binary, but one-dimensional, and are used so; their output voltage is directly proportional to the magnetic field strength. As for PIR sensors, fundamentally they’re certainly not binary, but I have no idea if they perhaps expose only a binary signal. A better example of a binary sensor might be an on/off switch.
Re: mmWave radar, you won't see it coming
#24I've been waiting for someone to finally make a consumer stud finder that works and this just might finally happen after this deregulation of the spectrum. The construction industry would hand over wheelbarrows full of money for a BLE phone-paired puck that located studs and pipes behind drywall. Someone could even sell a "pro" version that combined the data from multiple pucks to render a 3D point cloud of the insid…
Re: mmWave radar, you won't see it coming
#25A technical error in one of the diagrams: Hall effect sensors are not binary, but one-dimensional, and are used so; their output voltage is directly proportional to the magnetic field strength. As for PIR sensors, fundamentally they’re certainly not binary, but I have no idea if they perhaps expose only a binary signal. A better example of a binary sensor might be an on/off switch.
Re: mmWave radar, you won't see it coming
#26> Because mmWave radar doesn’t process visual light, what it sees is not personally identifiable. This makes it an ideal choice for monitoring where a camera would not be appropriate. Is 5mm resolution not enough to identify a face? What’s the difference between a 3d model of a person constructed from high res radar and a black and white photo? The radar sounds even more identifiable. Edit: Couldn’t you construct a m…
I worked with mmWave radars previously, but not professionally. In my opinion, it would be quite challenging to extract enough features from the current generation of mmWave radars, such as TI IWR1642 ([1]) which have around 4 receivers and 2-3 transmitters, because the incoming data, while having a lot of temporal resolution is very limited in spatial resolution. With greater number of antennas something like what y…
For example, I have a CDM324 24Ghz radar module here on my desk. I set it up to 'watch' me type this comment from across the keyboard. This is an extremely simple module that I have powered by a bench power supply and the IF routed directly to the audio input on my desktop. It was sampled with audacity and amplified a bit to help with visibility. Towards the end of the recording I'm expecting a flat spot followed by regular motion followed by 'noise' as I pause motionless for ~10 seconds or so, then take about 5-6 exaggerated breaths, then resume typing.
This is with zero design, the wrong frequency for the job, and next to zero signal conditioning.
(post: i've included a zoomed in image of the 'motion demonstration' to show still/breathing/typing, then zoomed in on typing to show the detail, then a spectrogram and waveform of me reaching up to scratch my ear.)
Bonus: yo check out my soundcloud - This is what the doppler signal actually sounds like:
Scratching my ear - https://soundcloud.com/buckrunner2/scratch
Talking directly at the module - https://soundcloud.com/buckrunner2/talking
Re: mmWave radar, you won't see it coming
#27I've been waiting for someone to finally make a consumer stud finder that works and this just might finally happen after this deregulation of the spectrum. The construction industry would hand over wheelbarrows full of money for a BLE phone-paired puck that located studs and pipes behind drywall. Someone could even sell a "pro" version that combined the data from multiple pucks to render a 3D point cloud of the insid…
https://walabot.com/see-through-walls
This seems like a pretty good review:
Re: mmWave radar, you won't see it coming
#28I've been waiting for someone to finally make a consumer stud finder that works and this just might finally happen after this deregulation of the spectrum. The construction industry would hand over wheelbarrows full of money for a BLE phone-paired puck that located studs and pipes behind drywall. Someone could even sell a "pro" version that combined the data from multiple pucks to render a 3D point cloud of the insid…
Would this be it? https://blog.vayyar.com/walabot-diy-2-launch
Re: mmWave radar, you won't see it coming
#29A technical error in one of the diagrams: Hall effect sensors are not binary, but one-dimensional, and are used so; their output voltage is directly proportional to the magnetic field strength. As for PIR sensors, fundamentally they’re certainly not binary, but I have no idea if they perhaps expose only a binary signal. A better example of a binary sensor might be an on/off switch.
Re: mmWave radar, you won't see it coming
#30> Because mmWave radar doesn’t process visual light, what it sees is not personally identifiable. This makes it an ideal choice for monitoring where a camera would not be appropriate. Is 5mm resolution not enough to identify a face? What’s the difference between a 3d model of a person constructed from high res radar and a black and white photo? The radar sounds even more identifiable. Edit: Couldn’t you construct a m…
You don't need to identify a face; you can identify people by Gait. If you can resolve something as big as a leg you've got enough, as long as you have it over 10 seconds or so.