# RamboRogers/rfhunter

RFHunter is a device to find hidden Cameras at AirBNBs

Repository: https://github.com/RamboRogers/rfhunter
Canonical: https://ross.abutalabs.com/products/rfhunter
Language: C++
License: GPL-3.0
License Family: copyleft
Last push: 2024-10-31T01:40:48+00:00

## Health v2 (maintenance only)
Score: 22/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 48
- inputs: {"age_days": 684, "days_push": 672, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1219, forks 46 (observed 2026-08-28T04:04:01.671538+00:00)

## What it is
RFHunter is a DIY hardware device built on an ESP32 and AD8317 RF power detector that scans for RF signals to help locate hidden cameras, wiretaps, and other RF-emitting devices. It displays signal strength on an OLED display and includes a bill of materials, build instructions, and 3D-printable enclosure files.

## Use cases
- find hidden cameras in an airbnb room
- detect wiretapping devices
- scan a room for rf-emitting surveillance devices
- build a portable rf signal detector
- check for spy devices while traveling

## When to choose
- you want a low-cost DIY rf detector you can assemble yourself
- you need a portable device to sweep rooms for hidden cameras or bugs
- you enjoy building electronics projects with an ESP32

## When to avoid
- you need a certified, professionally calibrated rf detection tool
- you want a plug-and-play commercial product without assembly
- you need to identify or decode specific rf protocols rather than detect signal presence

## Facets
- artifact type: application
- maturity: active
- function: embedded, monitoring, security
- domain: hardware, security, privacy, embedded-systems
- platform: embedded, iot, cpp
- tags: rf-scanner, esp32, hidden-camera-detector, diy-hardware, rf-detection, 3d-printed-enclosure

## Member repositories
- RamboRogers/rfhunter (main) score 22

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:01.671538+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:16:11.784789+00:00, confidence not recorded.
  - readme: https://github.com/RamboRogers/rfhunter (fetched 2026-08-28T04:04:01.671538+00:00, sha a2b9ac60f01f)
- Data as of 2026-08-30T08:39:29.467469+00:00.