Have you ever taken a look at all the information that Google has collected about you over all these years? That is, of course, assuming you have a Google account, but that’s quite a given if you own an Android device and have privacy concerns overruled by convenience. And considering that GPS is a pretty standard smartphone feature nowadays, you shouldn’t be surprised that your entire location history is very likely part of the collected data as well. So unless you opted out from an everchanging settings labyrinth in the past, it’s too late now, that data exists — period. Well, we might as well use it for our own benefit then and visualize what we’ve got there.
Location data naturally screams for maps as visualization method, and [luka1199] thought what would be better than an interactive Geo Heatmap written in Python, showing all the hotspots of your life. Built around the Folium library, the script reads the JSON dump of your location history that you can request from Google’s Takeout service, and overlays the resulting heatmap on the OpenStreetMap world map, ready for you to explore in your browser. Being Python, that’s pretty much all there is, which makes [Luka]’s script also a good starting point to play around with Folium and map visualization yourself.
While simply just looking at the map and remembering the places your life has taken you to can be fun on its own, you might also realize some time optimization potential in alternative route plannings, or use it to turn your last road trip route into an art piece. Just, whatever you do, be careful that you don’t accidentally leak the location of some secret military facilities.
How do you audit your home Wi-Fi network? Perhaps you log into your router and have a look at the connected devices. Sometimes you’ll find an unexpected guest, but a bit of detective work will usually lead you to the younger nephew’s game console or that forgotten ESP8266 on your bench.
Wouldn’t it be useful if your router could tell you where all the devices connected to it are? If you are [Zack Scholl], you can do all this and more, for his FIND-LF system logs Wi-Fi probe requests from all Wi-Fi devices within its range even if they are not connected, and triangulates their position from their relative signal strengths across several sniffing receivers. These receivers are a network of Raspberry Pis with their own FIND-LF server, and any probe requests they pick up are forwarded to [Zack]’s FIND server (another of his projects) which does the work of collating the locations of devices.
It’s an impressive piece of work, though with a Raspberry Pi at each receiver it could get a little pricey. [Zack] has done other work in this field aside from the two projects mentioned here, his other work includes an implementation of the [Harry Potter] Marauder’s Map.
GPS-based location services will be around with us forever. If you’re in the outback, in the middle of the ocean, or even just in a neighborhood that doesn’t have good cell coverage, there’s no better way to figure out where you are than GPS. Using satellites orbiting thousands of miles above the Earth as a location service is an idea that breaks down at some very inopportune times. If you’re in a parking garage, you’re not using GPS to find your car. If you’re in a shopping mall, the best way to find your way to a store is still a map. Anyone every tried to use GPS and Google Maps in the hotel/casino labyrinth that is the Las Vegas strip?
[Blecky]’s entry for the Best Product competition of the Hackaday Prize aims to solve this problem. It’s an indoor location service using only cheap WiFi modules called SubPos. With just a few ESP8266 modules, [Blecky] can set up a WiFi positioning system, accurate to half a meter, that can be used wherever GPS isn’t.
The idea for a GPS-less positioning system came to [Blecky] after a caving expedition and finding navigation though subterranean structures was difficult without the aid of cell coverage and GPS. This got [Blecky] thinking what would be required to build a positioning service in a subterranian environment.
The answer to this question came in the form of a cheap WiFi module. Each of the SubPos nodes are encoded with the GPS coordinates of where they’re placed. By transmitting this location through the WiFi Beacon Frame, along with the transmitted power, any cell phone can use three or more nodes to determine its true location, down to a few centimeters. All of this is done without connecting to a specific WiFi network; it’s a complete hack of the WiFi standard to allow positioning data.
The most shallow comparison to an existing geolocation system would be a WiFi positioning system (WPS), but there are several key differences. In WPS, the WiFi APs don’t transmit their own location; the AP is simply cross-referenced with GPS coordinates in a database. Secondly, APs do not transmit their own transmit power – important if you’re using RSSI to determine how far you are from an Access Point.
The best comparison to an indoor location service comes from a new Decawave module that sets up ‘base stations’ and figures out a sensor’s location based on time of flight. This, however, requires additional radios for each device receiving location data. SubPos only requires WiFi, and you don’t even need to connect to an AP to get this location data; everything is broadcast as a beacon frame, and every device with WiFi detects a SubPos node automatically.
As an entry to the Hackaday Prize Best Product competition, there is an inevitable consideration as to how this product will be marketed. The applications for businesses are obvious; shopping malls could easily build a smartphone app showing a user exactly where in the mall they are, and provide directions to The Gap or one of the dozens of GameStops in the building. Because the SubPos nodes also work in 3D space, parking garage owners could set up a dozen or so SubPos nodes to direct you to your exact parking spot. Disney, I’m sure, would pay through the nose to get this technology in their parks.
Already [Blecky] is in talks with one company that would like to license his technology, but he’s not focused only on the high-dollar business accounts. He already has a product that needs manufacturing, and if he wins the Best Product competition, he will be working on something for the hacker/homebrew market. The price point [Blecky] sees is around $15 a node. The economics of this work with the ESP WiFi module, but [Blecky] is also looking at alternative chip sets that would allow for more than just RSSI position finding; an improved version of the SubPos node not based on the ESP-8266 could bring time of flight into the mix, providing better position accuracy while still being cheaper to manufacture than the current ESP-based solution.
[Blecky] has a great project on his hands here, and something we will, undoubtedly, see more of in the future. The idea of using WiFi beacon frames to transmit location data, and received signal strength to suss out a position is groundbreaking and applicable to everything from spelunking to finding your car in a parking garage. Since the SubPos system isn’t tied to any specific hardware, this could even be implemented in commercial routers, giving any device with WiFi true location data, inside or out. It’s also one of the top ten finalists for the Hackaday Prize Best Product competition, and like the others, it’s the cream of the crop.
GPS is an enabling technology that does far more than the designers ever dreamed. If you want a quadcopter to fly to a waypoint, GPS does that. If you want directions on your phone, GPS does that. No one in the 70s or 80s could have dreamed this would be possible.
GPS, however, doesn’t work too well indoors. This is a problem, because we really don’t know what is possible if we can track an object to within 10cm indoors. Now there’s a module that does just that. It’s the decaWave DWM1000.
This module uses an 802.15 radio to track objects to within just a few centimeters of precision. It does this by sending time stamps to and from a set of base stations, or ‘anchors’. The module is also a small, and relatively high bandwidth (110kbps) radio for sensors and Internet of Things things makes it a very interesting part.
Some of the potential for this module is obvious: inventory management, and finding the remote and/or car keys. Like a lot of new technology, the most interesting applications are the ones no one has thought of yet. There are undoubtedly a lot of applications of this tech; just about every ball used in sports is bigger than 10cm, and if ESPN ever wanted even more cool visuals, just put one inside.
Last week, the Internet was alight with stories of iPhone location tracking. While this wasn’t exactly breaking news in security circles, it was new information to many people out there. Lots of blogs were full of commentary on the situation, including ours, with many Android users chiming in saying, “Android doesn’t do that”.
Android does have the same tracking capability, as do Windows Mobile phones for that matter. Both companies also monitor the cell towers you have connected to, as well as which Wi-Fi hotspots you have passed by. All three companies anonymize the data, though they do assign a unique ID to your location details in order to tell you apart from other users.
Where things really differ is in regards to how much information is stored. Microsoft claims that they only store the most recent location entry, while Andriod systems store the 200 most recent Wi-Fi hotspot locations as well as the most recent 50 cell towers.
At the end of the day each vendor does allow you to opt out of the tracking services, and if you are seriously concerned about the data they are tracking, you can always periodically wipe the information from your handset, should you desire.