Phlebotomy is a fun word, and the fine art of finding veins. While the skill of putting needles in arms is honed by nurses and physicians over the course of decades, there are, of course, technological solutions to finding veins. One of the more impressive medical devices that does this uses near-infrared imaging — basically looking under the skin with almost visible light. These devices cost a fortune.
One project in the Hackaday Prize is looking to change that. It’s a near-infrared vein finder. Instead of the thousands of dollars professional unit costs, this one can be built for under one hundred bucks.
As far as this build goes, veins are illuminated via IR light at about 950nm. The backscatter of this light is captured via a Raspberry Pi NoIR camera, with regular old photography film blocking visible light. From there, it’s just a simple matter of image processing and hitting enhance several times until veins appear on a display.
The team behind this project has already developed a mobile version of the device, complete with 3D printed parts. It’s a handy device and a great entry for the Hackaday Prize.
What high-tech, ultra-secure data center would be complete without dozens of video cameras directed both inward and outward? After all, the best informatic security means nothing without physical security. But those eyes in the sky can actually serve as a vector for attack, if this air-gap bridging exploit using networked security cameras is any indication.
It seems like the Cyber Security Lab at Ben-Gurion University is the place where air gaps go to die. They’ve knocked off an impressive array of air gap bridging hacks, like modulating power supply fans and hard drive activity indicators. The current work centers on the IR LED arrays commonly seen encircling the lenses of security cameras for night vision illumination. When a networked camera is compromised with their “aIR-Jumper” malware package, data can be exfiltrated from an otherwise secure facility. Using the camera’s API, aIR-Jumper modulates the IR array for low bit-rate data transfer. The receiver can be as simple as a smartphone, which can see the IR light that remains invisible to the naked eye. A compromised camera can even be used to infiltrate data into an air-gapped network, using cameras to watch for modulated signals. They also demonstrated how arrays of cameras can be federated to provide higher data rates and multiple covert channels with ranges of up to several kilometers.
True, the exploit requires physical access to the cameras to install the malware, but given the abysmal state of web camera security, a little social engineering may be the only thing standing between a secure system and a compromised one.
Continue reading “Another Day, Another Air Gap Breached”
Some people may think they’re having a bad day when they can’t find the TV remote. Yet there are some people who can’t even hold a remote, let alone root around in the couch cushions where the remote inevitably winds up. This entry in the Assistive Technologies phase of the 2017 Hackaday Prize seeks to help such folks, with a universal remote triggered by head gestures.
Mobility impairments can range from fine motor control issues to quadriplegia, and people who suffer from them are often cut off from technology by the inability to operate devices. [Cassio Batista] concentrated on controlling a TV for his project, but it’s easy to see how his method could interface with other IR remotes to achieve control over everything from alarm systems to windows and drapes. His open-source project uses a web cam to watch a user’s head gestures, and OpenCV running on a CHIP SBC looks for motion in the pitch, yaw, and roll axes to control volume, channel, and power. An Arduino takes care the IR commands to the TV. The prototype works well in the video below; with the power of OpenCV we can imagine mouth gestures and even eye blinks adding to the controller’s repertoire.
The Assistive Tech phase wraps up tomorrow, so be sure to get your entries in. You’ll have some stiff competition, like this robotic exoskeleton. But don’t let that discourage you.
Continue reading “Hackaday Prize Entry: Remote Control by Head Gestures”
Chances are anyone who has an entry-level to mid-range smart TV knows that setting them up with your streaming account credentials is a royal pain. Akin to the days of texting on a flip phone, using the number pad or arrow keys to compose your user name and password seems to take forever. So why not avoid the issue with this automated Netflix logger-inner?
As if the initial setup wasn’t bad enough, when [krucho5]’s LG smart TV started asking for his Netflix credentials every few days, he knew something needed to be done. An Arduino to send “keystrokes” was the obvious solution, but when initial attempts to spoof the HID on the set proved fruitless, [krucho5] turned to the IR remote interface. He used an IR receiver module to capture the codes sent while entering user name and password, and an IR LED plays it back anytime the TV ask for it. The video below shows how much easier it is now, and the method should work just fine for any other online service accounts.
We like [krucho5]’s build, but the fit and finish are a little rough. Perhaps slipping them into a pair of Netflix-enabled socks would be a nice touch?
Continue reading “Save Your Thumbs with This Netflix Password Sender”
What can you do with an IR remote? How about anything? Maybe not. We’ll settle for issuing arbitrary commands and controlling tasks on our computer.
The first step in [Fungus]’s hack is straightforward: buy an IR receiver for a buck, plug it into an Arduino, and load up some IR-decoding code. If you haven’t done this before, you owe it to yourself to take some time now. Old IR remotes are very useful, and dead simple, to integrate into your projects.
But here comes the computer-control part. Rather than interpret the codes on the Arduino, the micro just sends them across the USB serial to a laptop. A relatively straightforward X11 program on the (Linux) computer listens for codes and does essentially anything a user with a mouse and keyboard could — that is to say, anything. Press keys, run programs, open webpages, anything. This is great for use with a laptop or desktop, but it’d also be a natural for an embedded Raspberry Pi setup as well.
Hacking the code to do your particular biddings is a simple exercise in monkey-patching. It’s like a minimal, hacked-together, USB version of LIRC, and we like it.
Thanks [CoolerVoid] for the tip!
The Syma S107G is a venerable stalwart of the micro helicopter market. Affordable, robust, and ubiquitous, the S107G relies on infrared to receive its control signals. Emboldened by the prior work of others, [Robert] set out to control his with a Playstation 2 controller.
In this project, [Robert] is standing on the shoulders of giants, so to speak – we’ve seen others reverse engineer the S107G’s communications protocol before. [Robert] combined the efforts of several others to understand how to send commands to the helicopter, including use of two separate channels for controlling two at once.
It’s not the neatest, most lightweight way of building a new controller for your remote control toy, but it does show how quickly one can throw together a project in a weekend by combining modern hardware and software tools. Plus, it’s a great learning experience on a platform that’s been experimented with the world over.
Once you have a track and a kart to race on it, what’s missing? A lap counter that can give your lap times in hardcopy, obviously! That’s what led [the_anykey] to create the Arduino-based Lap Timer to help him and his kids trim those precious seconds off their runs, complete with thermal printer for the results.
The hardware uses an infrared break-beam sensor module (a Velleman PEM10D) to detect when a kart passes by. This module is similar to a scaled-up IR reflective object sensor; it combines an IR emitter and receiver on one end, and is pointed at a reflector placed across the track, up to 10 meters away. When a kart breaks the beam, the module reports the event to the rest of the hardware. Only needing electronics on one side allows the unit to be self-contained.
An obvious shortcoming of this system is the inability to differentiate between multiple karts, but for timing a single driver’s performance it does the trick. What’s great about this project is it showcases how accessible hardware is today; a device like this is possible to put together with what are essentially off-the-shelf components available to any hobbyist, using an Arduino as the glue to hold it together. We’d only comment that a red-tinted piece of plastic as an overlay for the red display (and a grey-tinted one for the green) would make the LED displays much easier to read. Still, this is a very clean and well-documented build. See it in action in the video embedded below.
Continue reading “Reflective Sensor Becomes Kart Racing Lap Counter”