Scientists who work with animals love to track their movements. This can provide interesting insights on everything from mating behaviour, food sources, and even the way animals behave socially – or anti-socially, as the case may be.
This is normally achieved with the use of tracking devices, affixed to an animal so that it can be observed remotely while going about its normal business. However, Australian scientists have recently run into some issues in this area, as the very animals they try to track have been removing these very devices, revealing some thought-provoking behaviour in the process.
Continue reading “Magpies Help Each Other Escape Tracking Devices With This One Weird Trick”
Owning a bike and commuting on it regularly is a great way to end up with your bike getting stolen, unfortunately. It can be a frustrating experience, and it can be particularly difficult to track a bike down once it’s vanished. [Johan] didn’t want to be caught out, however, and thus built a compact GPS tracker to give himself a fighting chance to hang on to his ride.
It’s built around the Arduino MKR GSM, a special Arduino built specifically for Internet of Things project. Sporting a cellular modem onboard, it can communicate with GSM and 3G networks out of the box. It’s paired with the MKR GPS shield to determine the bike’s location, and a ADXL345 3-axis accelerometer to detect movement. When unauthorised movement is detected, the tracker can send out text messages via cellular connection in order to help the owner track down the missing bike.
The tracker goes for a stealth installation, giving up the deterrent factor in order to lessen the chance of a thief damaging or disabling the hardware. It’s a project that should give [Johan] some peace of mind, though of course knowing where the bike is, and getting it back, are two different things entirely. We’ve seen creative techniques to build trackers for cats, too. It used to be the case that such “tracking devices” were the preserve of movies alone, but no longer. If you’ve got your own build, be sure to let us know on the tipline!
For his entry into the 2019 Hackaday Prize, [Marin Vukosav] is working on an ambitious project to create a small GPS tracking device which utilizes Narrowband IoT (NB-IoT) for long range communications. Rather than using a GSM modem which would suck the batteries dry in short order, NB-IoT can theoretically maintain a connection within a 10 to 15 kilometer range while keeping the energy consumption low enough that the tracker could go up to a year before needing to be recharged.
At this point, the hardware is still in the proof of concept phase. [Marin] is using an Arduino with a GPS shield and a SIM7000 NB-IoT module to experiment with the concept, but ultimately says he wants to shrink the hardware down to the point it could fit inside of a bike light. Looking even farther ahead, he’d like to make deals with bike manufacturers so the module could be integrated into the frame itself, where a thief wouldn’t be able to access it at all.
Of course, nothing says this technology has to be limited to bikes. If [Marin] can get it small enough, and reach even half of his goal battery life, he’d have a very compelling product on his hands. Who wouldn’t want to add something like this to their long-range drone in case it gets lost?
There’s still a long way to go on this project, and it’s not all hardware. [Marin] will also have to create the software side of things, a site where you can register your tracker and be able to view its near real-time position on the map. It’s a lot of work, especially if you’re planning on turning it into a commercial product, and we’re very interested to follow along and see where the project goes throughout the year.
Two students at Cornell University have put together a rather curious sound tracking device called an Acoustic Impulse Marker.
[Adam Wrobel] and [Michael Grisanti] study electrical and computer science, and for their final microcontroller class they decided to build this device using the venerable ATmega 1284p.
The system uses a three-microphone array to accurately position sharp noises within 5 degrees of accuracy. The microcontroller detects the “acoustic delay” between the microphones which allows it to identify the location of the sound’s source vector. It does this using an 8-stage analog system which converts the sounds from each microphone into a binary signal, which identifies when each microphone heard the noise. The resultant 3 binary signals are then compared for their time delay, it selects the two closest microphones, and then does a simple angle calculation based on the magnitudes of each to determine the sounds position. Continue reading “Acoustic Impulse Marker Tracks Sounds With A Pencil”