This projects uses a interesting DIY approach to broadcast video via wifi. Video transmitter and receiver are never directly associated. The receiver is put into monitor mode. This results in a transmission that behaves more like a analog solution. With a weaker signal there is not an immediate disruption of the transmission but a degradation because of packet loss.
The onboard Bluetooth device of the Raspberry Pi Zero W and the Raspberry Pi 3 can be disabled by adding dtoverlay=pi3-disable-bt to the config.txt file. Wifi is disabled with dtoverlay=pi3-disable-wifi.
The config.txt file is read by the GPU before the ARM CPU and Linux are initialised. It must be located on the first (boot) partition of your SD card alongside bootcode.bin and start.elf. This file is normally accessible as /boot/config.txt from Linux, and must be edited as root. From Windows or OS X it is visible as a file in the only accessible part of the card. If you need to apply some of the config settings below, but you don’t have a config.txt on your boot partition yet, simply create it as a new text file.
Any changes will only take effect after you have rebooted your Raspberry.
VidiU streams over dual band MIMO WiFi, Ethernet, or via a single 3G/4G USB modem. For events that require you to be completely wireless, VidiU’s rechargeable Li-Ion battery lets you roam cable-free for up to 60 minutes.
It accepts HDMI video input and streams at resolutions up to 1080p. VidiU encodes video in real-time using H.264 compression and AAC audio at up to 5Mbps. Embedded HD audio, headphone output, and a mic/line input are supported.
Researchers at the University of Washington have developed AllSee the prototype of a hand gesture recognition system based on measuring changes in the ubiquitous electromagnetic field generated by wifi, tv stations, mobile phones etc. This allows for a low power gesture recognition solution that may even operate when integrated in a cell phone that you’ve put in your pocket.
On re:publica 2013 the Berlin based german data designers from OpenDataCity created a wifi tracking network with 100 Access Points that allowed them to visualize the movements of about 6,700 different electronic devices during the conference.
The application called re:log is a dynamic map of the conference location that shows the approximate locations of the devices when they were connected to the local WiFi hotspots. An interactive timeline underneath allows to explore the dynamic changes over time, while a rectangular area can be drawn to more specifically highlight and follow a smaller amount of dots.
The visualization was based on tracking the MAC addresses of the devices according to the WiFi hotspot they were connected to. This data, which can be downloaded, was fully anonymized, yet the authors mention their desire to allow people to look up their own MAC address in the future.
I suspect the solution used is based on MagicMap a free Wifi/Bluetooth tracking architecture developed at the Humboldt-University Berlin. Their Wiki has some more information.