Here’s a sentence that would have sounded like science fiction five years ago: your Wi-Fi router might soon be able to detect whether someone is moving through your home, which room they’re in, and whether they’ve fallen.
Kent Local News recently covered the new IEEE Wi-Fi sensing standard that makes this possible. The technology works by analysing how Wi-Fi signals bounce off objects – including people. No cameras, no wearables, no additional hardware. Just your existing router, updated with new firmware.
The applications sound genuinely useful. Fall detection for elderly residents living alone. Intruder alerts without security cameras. Occupancy sensing for smart heating systems. Energy-efficient buildings that know which rooms are empty.
The privacy problem is obvious
A router that can sense human movement through walls is also a router that can track you without your knowledge or consent. Who has access to that data? Can your ISP see it? Your landlord? Your insurer?
These aren’t hypothetical concerns. The technology is being standardised now, which means commercial products are 12 to 18 months away. The privacy frameworks? Those typically lag behind by years.
Where we stand on ambient sensing
At Aegis, we build AI systems that operate in physical spaces – our autonomous floor-prep robots need to understand room layouts and detect obstacles. We know first-hand that sensing technology is only as responsible as the people deploying it. The capability to detect movement isn’t the issue. The issue is what happens to that information afterward.
Any sensing technology deployed in homes should meet three baseline requirements: explicit opt-in consent, local processing (no cloud uploads by default), and the ability to turn it off completely without losing other functionality. If a product can’t meet all three, it’s not ready for people’s homes.
The technology is impressive. Whether it’s implemented responsibly will depend on whether the industry sets standards before regulators have to force them.