It can tell you things like:
- The car that parked nearby last night coincided with "Chad's Galaxy Buds" with MAC address aa:bb:cc:dd:ee:ff. The buds also drove by briefly the previous night.
- Alert on sudden cross-specturm interference (e.g. burglars using a cheap jammer to knock out WiFi cameras).
- Alert on known device contact loss (powered off / left premises).
- Review device movement across a campus/neighborhood (using multiple RF pods).
I have a working PoC. It can run on a low-power computer (e.g. RPi) supporting multiple RF sensors (BT/BLE/WiFi). Has a web UI. Can publish events to an external security system. Currently working on an LLM interface to make it easy for a non-technical operator to set policies and ask questions.
Could be sold as an appliance system or a license for a DIY build.
Angel investors are welcome to contact rf-monitor@tuta.com
1. How loud the neighbhorhood is over time periods, eg sat night vs tues morning 2. air quality, enviromental factors, etc. 3. What percentage of vehicles/people/devices are net-new (over a time period) versus recoccuring, as identified by MAC.
I would personally pay in the low hundreds to understand overall loudness levels for a house I am about to buy, although I am fairly sensitive to sound. My wife would probably pay for the new-new people metrics.
IMO, you could charge a per-device report and deploy a unit for a week, much like a home inspector report. It would give you a revenue stream on the buy or sell side, and let you own your devices as you iterate on the sensor package.
Anyways, just my 2c, gl with your PoC.
Can you say exactly what you can detect with this?
When it comes to peripherals (earbuds, dashcams, car audio, etc), it's a totally different story. For user convenience these devices happily broadcast useful names, manufacturer data, etc.