Project ideas from Hacker News discussions.

WiFi could become an invisible mass surveillance system

📝 Discussion Summary (Click to expand)

1. The technique is not a practical mass‑surveillance tool

“Resolution and positional accuracy are very poor. It’s more like ‘an approximate bag of water detector’.” – brk
“The paper says, in a somewhat contrived scenario, with dozens of labelled walkthroughs per person, they can identify that person from their gait based on CSI and other Wi‑Fi information.” – avidiax
“This is a controlled environment… it would be nearly worthless in a real crowded environment.” – sponaugle

2. Privacy fears are amplified by the fact that the data is already widely collected

“Wi‑Fi is already part of invisible mass surveillance systems… it’s part of how cell phones fix location, which is then sent to Google, Apple, every app, every advertiser, etc.” – bagels
“Android devices already know exactly where they are even with GPS disabled… Google knows already.” – barrystaes
“The approach described in the article is much different and more interesting, as it's passive and doesn't require any electronics on the individual being identified.” – oasisbob

3. The underlying signal (BFI/CSI) is technically limited and hard to exploit at scale

“BFI is much more complex than simple signal strength… BFI is a high‑resolution, compressed representation of signal characteristics.” – spyder
“The paper had no success correlating across different perspectives – welcome to science reporting.” – ghostly_s
“You need to send specific packets at a high enough rate… it is not useful on normal Wi‑Fi traffic.” – mahrain

These three themes—technical impracticality, existing privacy infrastructure, and signal‑level limitations—dominate the discussion.


🚀 Project Ideas

WiFi BFI Leak Detector

Summary

  • A lightweight tool that passively sniffs Wi‑Fi beamforming feedback (BFI) packets to detect whether a router is leaking unencrypted metadata.
  • Provides real‑time alerts, a compatibility list of routers that can disable BFI, and step‑by‑step mitigation instructions.

Details

Key Value
Target Audience Privacy‑conscious homeowners, small‑business network admins
Core Feature Real‑time BFI sniffing, leak detection, router compatibility guide
Tech Stack Python, Scapy, Wireshark, Raspberry Pi, OpenWrt
Difficulty Medium
Monetization Hobby

Notes

  • “Kccqzy: Beamforming information is utilized for creating this surveillance.”
  • “Kccqzy: There are also a lack of configurations in common routers to turn off BFI.”
  • Users frustrated by hidden BFI leaks will appreciate a clear, actionable audit tool.
  • Sparks discussion on router firmware security and the need for privacy‑first defaults.

OpenWrt Privacy‑First Router Firmware

Summary

  • A custom OpenWrt‑based firmware that disables BFI and other unencrypted Wi‑Fi metadata by default, with a privacy dashboard for monitoring traffic.
  • Includes automated updates, hardened defaults, and optional support subscription.

Details

Key Value
Target Audience Tech‑savvy users, small businesses, privacy advocates
Core Feature BFI disable, encryption enforcement, privacy dashboard
Tech Stack OpenWrt, Lua, UCI, web UI, OpenSSL
Difficulty High
Monetization Revenue‑ready: subscription for support and updates

Notes

  • “Kccqzy: The BFI information is available to any WiFi snooping and can easily be used to detect presence.”
  • “Kccqzy: There are also a lack of configurations in common routers to turn off BFI.”
  • Addresses the core pain point of routers leaking sensitive data; offers a community‑driven, open‑source solution.
  • Encourages conversation about default router security and open‑source firmware adoption.

Local WiFi Presence Detection for Home Automation

Summary

  • A privacy‑preserving presence‑detection system that uses Wi‑Fi CSI/BFI data captured by low‑cost ESP32s, processes the data locally with TensorFlow Lite, and publishes anonymized events to Home Assistant.
  • No cameras or microphones; all inference happens on the edge.

Details

Key Value
Target Audience Home automation enthusiasts, privacy‑conscious homeowners
Core Feature Wi‑Fi CSI capture, ML‑based presence detection, local inference, Home Assistant integration
Tech Stack ESP32, Python, TensorFlow Lite, Home Assistant, MQTT
Difficulty Medium
Monetization Hobby

Notes

  • “Tommy: works great (my house is small, so two ESP32s works fine, I am sure having 3‑4 would let it see my cat breathing).”
  • “Tommy: works great.”
  • Provides a non‑intrusive alternative to cameras/mics, directly addressing the desire for presence detection without compromising privacy.
  • Opens up discussion on edge AI, sensor fusion, and the future of smart‑home privacy.

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