Inefficient NeoPixel Control Solved With Hardware Hackery

February 18, 2019 by 40 Comments

Everyone loves NeoPixels. Individually addressable RGB LEDs at a low price. Just attach an Arduino, load the demo code, and enjoy your blinking lights.

But it turns out that demo code isn’t very efficient. [Ben Heck] practically did a spit take when he discovered that the ESP32 sample code for NeoPixels used a uint32 to store each bit of data. This meant 96 bytes of RAM were required for each LED. With 4k of RAM, you can control 42 LEDs. That’s the same amount of RAM that the Apollo Guidance Computer needed to get to the moon!

His adventure is based on the thought that you should be able to generate these signals with hardware SPI. First, he takes a look at Adafruit’s DMA-Driven NeoPixel example. While this is far more efficient than the ESP32 demo code, it still requires 3 SPI bits per bit of NeoPixel data. [Ben] eventually provides us with an efficient solution for SPI contro using a couple of 7400 series chips:

Schematic of SPI to NeoPixel circuit using 74HC123

[Ben]’s solution uses some external hardware to reduce software requirements. The 74HC123 dual multi-vibrator is used to generate the two pulse lengths needed for the NeoPixels. The timing for each multi-vibrator is set by an external resistor and capacitor, which are chosen to meet the NeoPixel timing specifications.

The 74HC123s are clocked by the SPI clock signal, and the SPI data is fed into an AND gate with the long pulse. (In NeoPixel terms, a long pulse is a logical 1.) When the SPI data is 1, the long pulse is passed through to the NeoPixels. Otherwise, only the short pulse is passed through.

This solution only requires a 74HC123, an AND gate, and an OR gate. The total cost is well under a dollar. Anyone looking to drive NeoPixels with a resource-constrained microcontroller might want to give this design a try. It also serves as a reminder that some problems are better solved in hardware instead of software.

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Travelling The Oregon Trail With An Apple II Robot

February 18, 2019 by 5 Comments

For one reason or another, we’re going with a retro-futuristic 80s aesthetic in this case, [Mike] decided to turn an Apple IIe into a robot. If you have to ask why, you’ll never know, but this project does have some interesting things going for it. There’s a voice synthesizer, a brand spankin’ new power supply, and it rolls around on the floor thanks to Apple BASIC.

Since this is a mobile robot, there needs to be a power supply in there somewhere. The Apple II had a fantastic switching power supply, but it ran off mains voltage. To make this Apple run off a 14.8 V LiPO battery, [Mike] needed to re-engineer this power supply to give +5, +12, -5, and -12 Volts. The easiest is the positive voltage, and for that, he used a big ‘ol LM1084 linear regulator for the +5 V line. This outputs a ton of heat and probably isn’t the best solution, but it is a solution that works. The +12 line was again another linear regulator, an LM7812CV. Since this is dropping 14.8 V down to 12, the efficiency isn’t that bad, and since there’s no floppy drive it’s not pulling much current anyway. The negative voltages are a MAX764 / MAX765 inverting switching regulators. This completely replaces the original power supply in the Apple II, and is a decent reference design for anyone who wants to make a luggable Apple II laptop.

To move this thing around, the motors run on their own 11.1 V LiPO, with a bunch of Pololu gear tying everything together. The BASIC code was written on an emulator, transferred over with the Floppy Emu. Movement is controlled through the output pins on the joystick port, and there’s a text to speech module that was obviously needed and ties this project together wonderfully. You can check out the video demo of the build below.

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The Rotary Joystick Can Take A Beating

February 18, 2019 by 13 Comments

It’s a well-known fact amongst the older set that games used to be harder. Back in the 1980s, most home computers had awful keyboards, barely adequate joysticks, and the games had to be difficult to have any longevity, because there’s only so much you can fit into a single sided disk. Some of these games became known as joystick killers, due to the repetitive thrashing movements required to win. [Jan] was tired of letting Decathlon and its ilk get the better of him and his controllers, so built a joystick that was up to the task.

The basic concept of [Jan]’s rotary joystick is that many games required a fast and repetitive left-right motion to be executed by the player, but weren’t too concerned if a few up or down movements were in the mix. Thus, instead of a traditional shaft-based joystick, instead a rotary mechanism was employed. The player rotates the joystick’s wheel, which has a magnet fitted. This triggers a series of four reed switches, for up, down, left and right. By rotating the wheel quickly, it simulates the rapid left-right motion well enough to beat most of the vintage C64 games that were giving [Jan] trouble, and it makes an ideal controller for the 2018 release, Crank Crank Revolution.

We like the spirit behind any build that uses hardware to overcome intractable gaming problems. We’ve seen similar approaches used to beat Guitar Hero. Remember Guitar Hero? That was a thing. Video after the break.

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Electron Microscopes Are Awesome: Everything You Didn’t Know You Wanted To Know

February 18, 2019 by 15 Comments

Electron microscopes were once the turf of research laboratories that could foot the hefty bill of procuring and maintaining such equipment. But old models have been finding their way into the hands of eager individuals who are giving us an inside look at the rare equipment. Before you start scouring Craigslist, go on a crash course of what you need to know with Adam McComb’s Hacker’s Guide to Electron Microscopy. He presented the talk at the 2018 Hackaday Superconference and the recording was just published, you’ll find it below.

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X-Rays And High Voltage Hack Chat

February 18, 2019 by 16 Comments

Join us on Wednesday at noon Pacific time for the X-rays and high-voltage Hack Chat!

Fran Piernas likes to push the envelope a bit with projects that others might shy away from. A quick glance at his Hackaday.io profile reveals a few of the exciting projects he’s been working on recently, including a DIY X-ray machine and the high-voltage driver needed to run it. Not only that, he’s recently taken his home-brew X-ray rig to the next level – a computed tomography (CT) scanner. His YouTube channel also has some exciting stuff using potentially lethal voltages and ionizing radiation.

Please join us for this Hack Chat, in which we’ll cover:

  • How one safely works with high voltage and ionizing radiation;
  • Sourcing uncommon components like X-ray tubes;
  • How Fran decided to start playing at the edge of the danger zone; and
  • What sort of experiments he has in mind for the future.

You are, of course, encouraged to add your own questions to the discussion. You can do that by leaving a comment on the X-rays and high-voltage Hack Chat and we’ll put that in the queue for the Hack Chat discussion.

join-hack-chatOur Hack Chats are live community events on the Hackaday.io Hack Chat group messaging. This week we’ll be sitting down on Wednesday, February 20, at noon, Pacific time. If time zones have got you down, we have a handy time zone converter.

Click that speech bubble to the right, and you’ll be taken directly to the Hack Chat group on Hackaday.io. You don’t have to wait until Wednesday; join whenever you want and you can see what the community is talking about.

 

Entry-Level SLA Printer Gets Upgrades, Prints Better

February 18, 2019 by 12 Comments

Fused-deposition modeling (FDM) printers have the lion’s share of the 3D-printing market, with cheap, easy-to-use printers slurping up thousands of kilos of filament every year. So where’s the challenge with 3D-printing anymore? Is there any room left to tinker? [Physics Anonymous] thinks so, and has started working on what might be the next big challenge in additive manufacturing for the hobbyist: hacking cheap stereolithography (SLA) printers. To wit, this teardown of and improvements to an Anycubic Photon printer.

The Photon, available for as little as $450, has a lot going for it in the simplicity department. There’s no need to worry about filament and extruder issues, since the print is built up a layer at a time by photopolymerization of a liquid resin. And with but a single moving part – the build platform that rises up gradually from the resin tank on a stepper-driven lead screw – SLA printers don’t suffer from the accumulated errors of three separate axes. But, Anycubic made some design compromises in the motion control area to meet their price point for the Photon, leaving a perfect target for upgrades. [Physics Anonymous] added quality linear bearings to each side of the OEM vertical column and machined a carrier for the build platform. The result is better vertical positioning accuracy and decreased slop. It’s a simple fix that greatly improves print quality, with almost invisible layers.

Sadly, the Photon suffered a major, unrelated injury to its LCD screen, but it looks like [PA] will be able to recover from that. We hope so, because we find SLA printing very intriguing and would like to dive right in. But maybe we should start small first.

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Predicting Weather With The Internet Of Cars

February 18, 2019 by 38 Comments

Follow this train of thought: cars have sensors, cars are in frequent use over large areas, cars are the ultimate distributed sensor network for weather conditions.

Many years ago, as I wasted yet another chunk of my life sitting in the linear parking lot that was my morning commute, I mused that there had to be a way to prevent this madness. I thought: What if there was a way for the cars to tell each other where slowdowns are? This was long before smartphones, so it would have to be done the hard way. I imagined that each vehicle could have a small GPS receiver and a wireless transceiver of some sort, to send the vehicle’s current position to a central server, which would then send the aggregate speed data for each road back to the subscriber’s car. A small display would show you the hotspots and allow you to choose an alternate route. Genius! I had finally found my billion dollar idea.

Sadly, it was not to be. Seemingly days later, everyone on the planet had a GPS-equipped smartphone in his or her pocket, and the complex system I imagined was now easily implemented as software. Comically, one of the reasons I chose not to pursue my idea is that I didn’t think anyone would willingly let a company have access to their location information. Little did I know.

So it was with great interest that I read an article claiming that windshield wiper data from connected cars can be used to prevent floods. I honestly thought it was a joke at first, like something from a Monty Python sketch. But as I read through the article, I thought about that long-ago idea I had had, which amounted to a distributed sensor platform, might actually be useful for more than just detecting traffic jams.

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