OffGridPete writes that Fieldwatch is a passive, receive-only Android app that listens for nearby Wi-Fi access points and Bluetooth LE advertisements to help users identify radio sources around them. Built as a personal hobby tool, it runs entirely offline with no account, no backend server, and no dongle. The app was originally named Spectre but was renamed to avoid confusion with another existing app, and it is distributed as a sideload APK under the MIT License.
- Includes an extensible signature library for identifying radio sources
- Features GPS co-travel detection ("possible tail") and a Debrief report
- Privacy mode can mask Remote IDs on-screen while full coordinates are retained in logs
- Not capable of capturing Wi-Fi probe frames, Bluetooth Classic, cellular, or direction-finding data
Researchers from Dartmouth College and other institutions have developed a low-cost method to manage indoor Wi-Fi coverage using 3D-printed plastic shells wrapped in aluminum foil. This project, called WiPrint, uses software algorithms to simulate radio wave propagation based on specific floor plans, allowing users to redirect signals toward desired areas while minimizing leakage outside the home or into adjacent rooms.
* Increases signal strength by up to 6 decibels in targeted zones and reduces it by as much as 10 decibels in restricted areas.
* Provides a physical layer of privacy that complements digital encryption like WPA2 or WPA3.
* The complete setup is cost-effective, costing approximately $35 to build.
It is a 4-inch touchscreen device designed for Meshtastic®, powered by dual MCUs, the ESP32 and RP2040, and supports Wi-Fi, BLE, and LoRa®. It is an open-source, powerful IoT development platform.
The ESP32-S3 AI Camera is a high-performance intelligent camera module designed for efficient video processing, edge AI, and voice interaction. Features include edge image recognition, night vision, and wireless connectivity.