NVMe Boot Finally Comes To The Pi Compute Module 4

March 29, 2021 by Tom Nardi 4 Comments

Since the introduction of the Raspberry Pi Compute Module 4, power users have wanted to use NVMe drives with the diminutive ARM board. While it was always possible to get one plugged in through an adapter on the IO Board, it was a bit too awkward for serious use. But as [Jeff Geerling] recently discussed on his blog, we’re not only starting to see CM4 carrier boards with full-size M.2 slots onboard, but the Raspberry Pi Foundation has unveiled beta support for booting from these speedy storage devices.

The MirkoPC board that [Jeff] looks at is certainly impressive on its own. Even if you don’t feel like jumping through the hoops necessary to actually boot to NVMe, the fact that you can simply plug in a standard drive and use it for mass storage is a big advantage. But the board also breaks out pretty much any I/O you could possibly want from the CM4, and even includes some of its own niceties like an RTC module and I2S DAC with a high-quality headphone amplifier.

Once the NVMe drive is safely nestled into position and you’ve updated to the beta bootloader, you can say goodbye to SD cards. But don’t get too excited just yet. Somewhat surprisingly, [Jeff] finds that booting from the NVMe drive is no faster than the SD card. That said, actually loading programs and other day-to-day tasks are far snappier once the system gets up and running. Perhaps the boot time can be improved with future tweaks, but honestly, the ~7 seconds it currently takes to start up the CM4 hardly seems excessive.

NVMe drives are exciting pieces of tech, and it’s good to see more single-board computers support it. While it might not help your CM4 boot any faster, it definitely offers a nice kick in performance across the board and expands what the system is capable of. Continue reading “NVMe Boot Finally Comes To The Pi Compute Module 4” →

Triton AR Headset Blends Stock And Printed Parts

March 28, 2021 by Tom Nardi 4 Comments

Augmented reality (AR) and natural gesture input provide a tantalizing glimpse at what human-computer interfaces may look like in the future, but at this point, the technology hasn’t seen much adoption within the open source community. Though to be fair, it seems like the big commercial players aren’t faring much better so far. You could make the case that the biggest roadblock, beyond the general lack of software this early in the game, is access to an open and affordable augmented reality headset.

Which is precisely why [Graham Atlee] has developed the Triton. This Creative Commons licensed headset combines commercial off-the-shelf components with 3D printed parts to provide a capable AR experience at a hacker-friendly price. By printing your own parts and ordering the components from AliExpress, basic AR functionality should cost you $150 to $200 USD. If you want to add gesture support you’ll need to add a Leap Motion to your bill of materials, but even still, it’s a solid deal.

The trick here is that [Graham] is using the reflectors from a surprisingly cheap AR headset designed to work with a smartphone. By combining these mass produced optics with a six inch 1440 x 2560 LCD panel inside of the Triton’s 3D printed structure, projecting high quality images over the user’s field of view is far simpler than you might think.

If you want to use it as a development platform for gesture interfaces you’ll want to install a Leap Motion in the specifically designed socket in the front, but otherwise, all you need to do is plug in an HDMI video source. That could be anything from a low-power wearable to a high-end gaming computer, depending on what your goals are.

[Graham] has not only provided the STLs for all the 3D printed parts and a bill of materials, but he’s also done a fantastic job of documenting the build process with a step-by-step guide. This isn’t some theoretical creation; you could order the parts right now and start building your very own Triton. If you’re looking for software, he’s also selling a Windows-based “Triton AR Launcher” for the princely sum of $4.99 that looks pretty slick, but it’s absolutely not required to use the hardware.

Of course, plenty of people are more than happy to stick with the traditional keyboard and monitor setup. It’s hard to say if wearable displays and gesture interfaces will really become the norm, of they’re better left to science fiction. But either way, we’re happy to see affordable open source platforms for experimenting with this cutting edge technology. On the off chance any of them become the standard in the coming decades, we’d hate to be stuck in some inescapable walled garden because nobody developed any open alternatives.

Homebrew 68K Micro-ATX Computer Runs Its Own OS

March 27, 2021 by Tom Nardi 23 Comments

We’re no stranger to home built Motorola 68000 computers here at Hackaday, but more often than not, they tend to be an experiment in retro minimalism. The venerable processor is usually joined by only a handful of components, and there’s an excellent chance they’ll have taken up residence on a piece of perfboard. Then [NotArtyom] sent in his Blitz, and launched the bar into the stratosphere.

Make no mistake, the Blitz isn’t just some simple demo of classic chips. The open hardware motherboard has onboard floppy, IDE, and PS/2 interfaces, with a trio of 8-bit ISA expansion slots for good measure. The Motorola 68030 CPU is humming along at 50 MHz, with 4 MB of RAM and 512 KB of ROM along for the ride. Designed to fit the Micro-ATX motherboard standard, you can even mount the Blitz in a contemporary PC case and run it on a standard ATX power supply.

An earlier prototype of the Blitz motherboard.

As if the hardware wasn’t impressive enough, [NotArtyom] went ahead and created his own open source DOS-like operating system for it to run. Written in portable C, G-DOS can run on various m68k boards as well as ARM and PowerPC machines. It’s an incredible project in its own right. If you’re looking for something to show off your homebrew computer, you could certainly do worse than pulling down a copy of G-DOS. If you do port it to a new board, make sure to let [NotArtyom] know.

It’s taken [NotArtyom] three years to develop Blitz and G-DOS with his only goal being to better understand homebrew computers. He has no interest in monetizing the design or turning it into a kit, but instead hopes it will be a resource and inspiration for others with similar interests. Oh yeah, and he did all of this before he even graduated high school. If you weren’t questioning your life’s accomplishments before, now would be a great time to start.

Interested in building your own Motorola 68000 computer, but haven’t yet attained the wizarding level of [NotArtyom]? You could start with something a bit simpler like the 68k-nano, or if you’re really in a pinch, just dead bug a Dragonball 68328.

The Future’s So Bright, You Gotta Wear Arduglasses

March 25, 2021 by Tom Nardi 21 Comments

Tiny OLED displays are an absolute must-have in the modern parts bin, so what better way to show your allegiance to the maker movement than with a pair of Arduino-compatible OLED glasses? Created by Arduboy mastermind [Kevin Bates], these digital spectacles might not help you see any better — in fact, you’ll see a bit worse — but they’ll certainly make you stand out in the crowd at the next hacker con. (Whenever we can have one of those again, anyway.)

The key to this project is a pair of transparent CrystalFonts OLED displays, just like the ones [Sean Hodgins] recently used to produce his gorgeous volumetric display. In fact, [Kevin] says it was his success with these displays that inspired him to pursue his own project. With some clever PCB design, he came up with some boards that could be manufactured by OSH Park and put together with jewelry box hinges. Small flexible circuits, also from OSH Park, link the boards and allow the frames to fold up when not being worn.

The Arduglasses use the same ATmega32U4 microcontroller as the Arduboy, and with a few basic controls and a small 100 mAh rechargeable battery onboard, they can technically run anything from the open source handheld’s extensive software library. Of course, technically is the operative word here. While the hardware is capable of playing the games, [Kevin] reports that the OLED displays are too close to the wearer’s eyes to actually focus on them. That said the ability to easily create software for these glasses offers plenty of opportunity for memes, as we see in the video below.

For reasons that are probably obvious, [Kevin] considers the Arduglasses an experiment and isn’t looking to turn them into a commercial product or kit. But if there’s interest, he’s willing to put the design files up on GitHub for anyone who wants to add a pair of Arduino glasses to their cyberpunk wardrobe.

Continue reading “The Future’s So Bright, You Gotta Wear Arduglasses” →

Open Source Motion Controller For DIY Drones

March 24, 2021 by Tom Nardi 7 Comments

DJI recently introduced a slick motion controller that eschews the traditional dual-stick transmitter and allows you to fly their new “FPV Drone” with just one hand. The fact that it looks like it could double as the control stick for an X-Wing is just an added bonus. Unfortunately, that single model is the only thing the $199 USD controller is currently compatible with. Unwilling to get locked into the DJI ecosystem, [Paweł Spychalski] has developed an open source work-alike motion controller that brings gesture flying to home-built quadcopters and airplanes.

Now to be clear, you’ll still need a traditional transmitter to use this device. Rather than trying to reinvent the wheel, [Paweł] decided to implement his motion controller as an add-on for OpenTX hardware like the RadioMaster TX16S. It simply plugs into the trainer port on the back of the transmitter and acts as a secondary input. This greatly simplifies the design, as it essentially just needs to read angle data from its MPU-6050 gyro/accelerometer and forward it along to OpenTX over the serial port. Plus the fact that it’s connected to the trainer port means you can disable it and return to traditional controls in an instant if anything goes wrong.

Outside of the motion sensing gear, the ESP32-powered peripheral also has a thumb stick and a pair of push buttons nestled into its 3D printed frame. An OLED display provides some user feedback, and a holder for a 18650 cell is mounted to the back side as the controller will need its own power source when [Paweł] gets around to making its connection to the transmitter wireless.

In the video below, [Paweł] takes the motion controller for a test flight and comes away largely satisfied with the results. Some tweaks are in the works as you might expect for a first attempt, but nothing that would prevent you from building your own version today and experiencing what might be the next evolution of RC flying.

Continue reading “Open Source Motion Controller For DIY Drones” →

Hey Google, Is My Heart Still Beating?

March 23, 2021 by Tom Nardi 18 Comments

University of Washington researchers studying the potential medical use of smart speakers such as Amazon’s Echo and Google’s Nest have recently released a paper detailing their experiments with non-contact acoustic heartbeat detection. Thanks to their sensitive microphone arrays, normally used to help localize voice commands from the user, the team proposes these affordable and increasingly popular smart home gadgets could lead a double life as unobtrusive life sign monitors. The paper goes so far as to say that even with multiple people in the room, their technique can be used to monitor the heart and respiratory rate of a specific target individual.

Those are some bold claims, but they aren’t without precedent. Previous studies performed at UW in 2019 demonstrated how smart speaker technology could be used to detect cardiac arrest and monitor infant breathing. This latest paper could be seen as the culmination of those earlier experiments: a single piece of software that could not just monitor the vitals of nearby patients, but actually detect a medical emergency. The lifesaving potential of such a program, especially for the very young and elderly, would be incredible.

So when will you be able to install a heart monitor skill on the cheap Echo Dot you picked up on Prime Day? Well, as is often the case with this kind of research, putting the technique to work in the real-world isn’t nearly as easy as in the laboratory. While the concept is promising and is more than worthy of further research, it may be some time before our lowly smart speakers are capable of Star Trek style life-sign detection.

Continue reading “Hey Google, Is My Heart Still Beating?” →

Machine Learning Current Sensor Snoops On MCUs

March 23, 2021 by Tom Nardi 8 Comments

Anyone who’s ever tried their hand at reverse engineering a piece of hardware has wished there was some kind of magic wand you could tap on a PCB to understand what its doing and why. We imagine that’s what put security researcher [Mark C] on the path to developing CurrentSense-TinyML, a fascinating proof of concept that uses machine learning and sensitive current measurements to try and determine what a microcontroller is up to.

The idea is simple enough: just place a INA219 current sensor between the power supply and the microcontroller under observation, and record the resulting measurements as it goes about its business. Of course in this case, [Mark] knew what the target Arduino Nano was doing because he wrote the code that blinks its onboard LED.

This allowed him to create training data for TensorFlow, which was ultimately optimized into a model that could fit onto the Arduino Nano 33 BLE Sense which stands in for our magic wand. The end result is that the model can accurately predict when the Nano has fired up its LED based on the amount of power it’s using. [Mark] has done a fantastic job of documenting the whole process, which also doubles as a great intro for putting machine learning to work on a microcontroller.

Now we already know what you’re thinking: obviously the current would go up when the LED was lit, so the machine learning aspect is completely unnecessary. That may be true in this limited context, but remember, this is just a proof of concept to base further work on. In the future, with more training data, this technique could potentially be used to identify a whole range of nuanced activities. You’d be able to see when the MCU was sitting idle, when it was writing to flash, or when it was reading from sensors. In fact, with a good enough model, it might even be possible to identify the individual sensors that are being polled.

These are early days, but we’re very interested in seeing where this research goes. It might not be magic, but if analyzing the current draw of a coffee maker can tell you how much everyone in the office is drinking, then maybe it can help us figure out what all these unlabeled ICs are doing.