Count the number of people around you 👨👨👦 by monitoring wifi signals 📡.
howmanypeoplearearound calculates the number of people in the vicinity using the approximate number of smartphones as a proxy (since ~70% of people have smartphones nowadays). A cellphone is determined to be in proximity to the computer based on sniffing WiFi probe requests. Possible uses of howmanypeoplearearound include: monitoring foot traffic in your house with Raspberry Pis, seeing if your roommates are home, etc.
Tested on Linux (Raspbian and Ubuntu) and Mac OS X.
It may be illegal to monitor networks for MAC addresses, especially on networks that you do not own. Please check your country's laws (for US Section 18 U.S. Code § 2511) - discussion.
For a video walkthrough on how to install, checkout PNPtutorials.
Python 2.7 or preferably Python 3 must be installed on your machine with the pip command also available.
python -V
pip -V
There are a number of possible USB WiFi adapters that support monitor mode. Here's a list that are popular:
- USB Rt3070 $14
- Panda PAU5 $14
- Panda PAU6 $15
- Panda PAU9 $36
- Alfa AWUSO36NH $33
- Alfa AWUS036NHA $40
- Alfa AWUS036NEH $40
- Sabrent NT-WGHU $15 (b/g) only
Namely you want to find a USB adapter with one of the following chipsets: Atheros AR9271, Ralink RT3070, Ralink RT3572, or Ralink RT5572.
brew install wireshark
brew cask install wireshark-chmodbpf
You need to dissociate from any AP before initiating the scanning:
sudo /System/Library/PrivateFrameworks/Apple80211.framework/Versions/Current/Resources/airport -z
Linux tshark
sudo apt-get install tshark
Then update it so it can be run as non-root:
sudo dpkg-reconfigure wireshark-common (select YES)
sudo usermod -a -G wireshark ${USER:-root}
newgrp wireshark
pip install howmanypeoplearearound
To run, simply type in
$ howmanypeoplearearound
Using wlan1 adapter and scanning for 60 seconds...
[==================================================] 100% 0s left
There are about 3 people around.You will be prompted for the WiFi adapter to use for scanning. Make sure to use an adapter that supports "monitor" mode.
If Docker is installed locally and you want to take howmanypeoplearearound out for a quick spin, you can try the following:
- Copy Dockerfile from this repo in your current working directory
docker build -t howmanypeoplearearound .# that . at the end is importantdocker run -it --net=host --name howmanypeoplearearound howmanypeoplearearound
NOTE: This Docker alternative is known to work on Ubuntu but not on Mac OS X. Feedback on other platforms would be appreciated.
You can modify the scan time, designate the adapter, or modify the output using some command-line options.
$ howmanypeoplearearound --help
Options:
-a, --adapter TEXT adapter to use
-z, --analyze TEXT analyze file
-s, --scantime TEXT time in seconds to scan
-o, --out TEXT output cellphone data to file
-v, --verbose verbose mode
--number just print the number
-j, --jsonprint print JSON of cellphone data
-n, --nearby only quantify signals that are nearby (rssi > -70)
--nocorrection do not apply correction
--loop loop forever
--sort sort cellphone data by distance (rssi)You can generate an JSON-formatted output to see what kind of phones are around:
$ howmanypeoplearearound -o test.json -a wlan1
[==================================================] 100% 0s left
There are about 4 people around.
$ cat test.json | python3 -m json.tool
[
{
"rssi": -86.0,
"mac": "90:e7:c4:xx:xx:xx",
"company": "HTC Corporation"
},
{
"rssi": -84.0,
"mac": "80:e6:50:xx:xx:xx",
"company": "Apple, Inc."
},
{
"rssi": -49.0,
"mac": "ac:37:43:xx:xx:xx",
"company": "HTC Corporation"
}
]A higher rssi means closer (one of these phones is mine, and the other two are my roommates' who were upstairs).
You can add --loop to make this run forever and append new lines an output file, test.json:
$ howmanypeoplearearound -o test.json -a wlan1 --loopYou can visualize the output from a looped command via a browser using:
$ howmanypeoplearearound --analyze test.json
Wrote index.html
Open browser to http://localhost:8001
Type Ctl+C to exitThen just open up index.html in a browser and you should see plots. The first plot shows the number of people over time. Here you can see that people start arriving at work place around 8-9am (when work starts!).
The second plot shows the RSSI values for the mac addresses seen. You can double-click on one of them in particular to highlight that trajectory, as I have done here for my phone (you can see when I leave from and when I arrive to work!):
howmanypeoplearearound counts up the number of probe requests coming from cellphones in a given amount of time.
The probe requests can be "sniffed" from a monitor-mode enabled WiFi adapter using tshark. An accurate count does
depend on everyone having cellphone and also scanning long enough (1 - 10 minutes) to capture the packet when
a phone pings the WiFi network (which happens every 1 to 10 minutes unless the phone is off or WiFi is disabled).
This is a simplification of another program I wrote, find-lf which uses a similar idea with a cluster of Raspberry Pis to geolocate positions of cellphones within the vicinity.
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