[Patrick McDavid] and his wife had a legitimate work-related reason for writing some Python code that would pull the exact latitude and longitude of the individual locations within a national retain chain from Google’s Geocoding API. But don’t worry about that part of the story. What’s important now is that this simple concept was then expanded into a pocket-sized device that will lead the holder to the nearest White Castle or Five Guys location.
The device, which [Patrick] lovingly referrers to as the “Cheeseburger Compass”, uses a Raspberry Pi 3, an Adafruit 16×2 LCD with keypad, a GPS module, and the requisite battery and charger circuit to make it mobile. With the coordinates for the various places one can obtain glorious artery clogging meat circles loaded up, the device will give the user the cardinal direction and current distance from the nearest location of the currently selected chain.
[Patrick] has published the source code for this meat-seeking gadget on GitHub, but notes that most of it is just piecing together existing libraries and tools. As with many Python projects, it turns out there’s already a popular library to do whatever it is you were trying to do manually, so his early attempts at calculating distances and bearings were ultimately replaced with turn-key solutions. Though he did come up with a quick piece of code that would convert a compass heading in degrees to a cardinal direction that he couldn’t find a better solution for. Maybe he should make it a library…
Sadly the original Cheeseburger Compass got destroyed from being carried around so much, but at least it died doing what it loved. [Patrick] says a second version of the device would likely switch over to a microcontroller rather than the full Raspberry Pi experience, as it would make the device much smaller and greatly improve on the roughly two hour battery life.
This project reminds us of the various geocache devices we’ve covered in the past, but with the notable addition of hot sizzling meat. Talk about improving on a good thing.
People who exercise with fitness trackers have a digital record of their workouts. They do it for a wide range of reasons, from gathering serious medical data to simply satisfying curiosity. When fitness data includes GPS coordinates, it raises personal privacy concerns. But even with individual data removed, such data was still informative enough to spill the beans on secretive facilities around the world.
This past weekend, [Nathan Ruser] announced on Twitter that Strava’s heatmap also managed to highlight exercise activity by military/intelligence personnel around the world, including some suspected but unannounced facilities. More worryingly, some of the mapped paths imply patrol and supply routes, knowledge security officers would prefer not to be shared with the entire world.
This is an extraordinary blunder which very succinctly illustrates a folly of Internet of Things. Strava’s anonymized data sharing obsfucated individuals, but didn’t manage to do the same for groups of individuals… like the fitness-minded active duty military personnel whose workout habits are clearly defined on these heat maps. The biggest contributor (besides wearing a tracking device in general) to this situation is that the data sharing is enabled by default and must be opted-out:
“You can opt-out of contributing your anonymized public activity data to Strava Metro and the Heatmap by unchecking the box in this section.” —Strava Blog, July 2017
We’ve seen individual fitness trackers hacked and we’ve seen people tracked through controlled domains before, but the global scope of [Nathan]’s discovery puts it in an entirely different class.
[via Washington Post]
While there are apps that will display plane locations, [squix78] wanted to build a dedicated device for plane spotting. The ESP8266 PlaneSpotter Color is a standalone device that displays a live map with plane data on a color TFT screen. This device expands on his PlaneSpotter project, adding a color display and mapping functions.
First up, the device needs to know where planes are. The ADS-B data that is transmitted from planes contains useful data including altitude, velocity, position, and an identifier unique to the aircraft. While commercial services exist for getting this data, the PlaneSpotter uses ADS-B Exchange. You can set up a Raspberry Pi to record this data, and provide it to ADS-B Exchange.
With the plane data being received from the ADS-B Exchange API, it’s time to draw to the screen. The JPEGDecoder fork for ESP8266 is used for drawing images, which are fetched from the MapQuest API as JPEGs.
Finally, geolocation is needed to determine where in the world the PlaneSpotter is. Rather than adding a GPS module, [squix78] went with a cheap solution: WiFi geolocation. This uses identifying information and signal strengths from nearby WiFi access points to determine location. This project uses a public API by [Alexander Mylnikov], which returns a JSON object with longitude and latitude.
This project demonstrates what the ESP8266 is capable of, and brings together some neat techniques. If you’re looking to geolocate or display maps on an ESP8266, the code is available on Github.
Continue reading “Tracking Planes with an ESP8266”
It’s taken as canon that girls mature faster than boys. In reality, what happens is that boys stop maturing at about age 12 while girls keep going. And nothing tickles the fancy of the ageless pre-teen boy trapped within all men more than a good fart joke. To wit, we present a geolocating fart tracker for your daily commute.
[Michel] is the hero this world needs, and although he seems to have somewhat of a preoccupation with hacks involving combustible gasses, his other non-methane related projects have graced our pages before, like this electrical meter snooper or an IoT lawn mower. The current effort, though, is a bit on the cheekier side.
The goal is to keep track of his emissions while driving, so with a PIC, an ESP8266, a GPS module, and a small LCD display and keyboard, he now has a way to log his rolling flatulence. When the urge overcomes him he simply presses a button, which logs his location and speed and allows him to make certain qualitative notes regarding the event. The data gets uploaded to the cloud every Friday, which apparently allows [Michel] to while away his weekends mapping his results.
It turns out that he mainly farts while heading south, and he’s worried about the implications both in terms of polar ice cap loss and how Santa is going to treat him next month. We’re thinking he’s got a lock on coal — or at least activated charcoal.
Our beef with this project is obvious – it relies on the honor system for input. We really need to see this reworked with an in-seat methane detector to keep [Michel] honest. Until then, stay young, [Michel].