Apollo Guidance Computer Saved From The Scrap Yard

NASA needed a small and lightweight computer to send humans on their journey to the Moon and back, but computers of the day were made out of discrete components that were heavy, large, complicated, and unreliable. None of which are good qualities for spaceflight. The agency’s decision to ultimately trust the success of the Apollo program on the newly developed integrated circuit was an important milestone in computer history.

Given the enormity of the task at hand and the monumental effort it took, it’s surprising to learn that there aren’t very many left in existence. But perhaps not as surprising as the fact that somebody apparently threw one of them in the trash. A former NASA contractor happened to notice one of these historic Apollo Guidance Computers (AGC) at an electronics recycling facility, and thankfully was able to save it from getting scrapped.

The AGC was actually discovered in 1976, but it was decided to get the computer working again in time for the recent 50th anniversary of the Moon landing. A group of computer scientists in California were able to not only get the computer up and running, but integrate it into a realistic simulator that gives players an authentic look at what it took to land on the Moon in 1969.

Restoring a computer of this age and rarity is no easy feat. There aren’t exactly spare parts floating around for it, and the team had to go to great effort to repair some faults on the device. Since we covered the beginning stages of the restoration last year, the entire process has been extensively documented in a series of videos on YouTube. So while it’s unlikely you’ll find an AGC in your local recycling center, at least you’ll know what to do with it if you do.

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Dice Reader Brings Tech To Your Craps Game… Or, Ya Know, D&D

There are truisms about dice that you’ve probably already heard: if you have just one of them it’s called a “die”, opposite faces of each die always add up to seven, and those dots that you’re adding together are known as “pips”. But what about the infrared properties of those pips? It turns out they reflect less IR than the white body of the die and that trait can be used to build an automatic die reader.

Great projects have a way of bubbling to the surface. The proof of concept comes from way back in 2009, and while the source blog is now defunct, it’s thankfully been preserved by the Internet Archive. In recreating the project based on that barebones description, [Calvin] reached for a set of five IR transmitter/receiver pairs. Take a close look and you’ll see each transmitter is hidden under its partnered receiver. The light shines up through the receiver and the presence of the pip is detected by measuring how much of it bounces back.

This board is only the sensor portion of the design. A 595 shift register provides the ability to control which IR pair is powered, plus five more signals heading out to the analog pins of an Arduino Uno to monitor how much light is being detected by the receivers. Hey, that’s another interesting fact about dice, you only need to read five different pips to establish the value shown!

We wish there were a demo video showing this in action, but alas we couldn’t find one. We were amused to hear [Calvin] mentioned this was a sorting assignment at University and the team didn’t want to build yet another candy sorter. Look, we love an epic M&M sorter just as much as the next electronic geek, but it’s pretty hard to one-up this dice-based random number generator which rolls 1.3 million times each day.

Reverse Engineering An Ancient SBC With An Apple ][

We spend a lot of time in our community discussing the many home computers from the 8-bit era, while almost completely ignoring their industrial equivalents. While today a designer of a machine is more likely than not to reach for a microcontroller, four decades ago they would have used a single-board computer which might have shared a lot of silicon with the one you used to play Pac Man.

[Epooch] recently came into possession of a CMS 9619A Advanced Single Board Microcomputer, a rather unique Programmable Logic Controller intended for industrial applications. It’s powered by a Motorola 6809 CPU and features the usual array of peripheral chips. To unlock its secrets he reached not for an array of tools from 2019 but for a venerable Apple ][e microcomputer.

In this type of 8-bit machine the various peripherals are enabled through address decoding logic that toggles their chip select line when a particular I/O address is called. Sometimes this task is performed by a set of 74 or similar logic chips, but in the case of the CMS 9619A it falls upon a Programmable Array Logic (PAL). These chips, which could be thought of as a simple precursor to today’s FPGAs, were ideal for creating custom decoding logic.

As you might expect though, a PAL is an opaque device, so to deduce the address map it was necessary to reverse engineer it using the Apple ][‘s printer card and a bit of BASIC code. It then remained to do some ROM disassembly work and wire up the serial ports, before some ROM patching with the Apple ][ as an EPROM programmer to finally access the machine’s debugger.

The 6809 is famous as the brains of Radio Shack’s CoCo and the Dragon computers, but this isn’t the first time we’ve seen it in an SBC.

3D Printed Fan Filter Takes Cues From Costume Scene

This custom fan filter created by [Kolomanschell] is a clever application of a technique used to create wearable 3D printed “fabrics”, which consist of printed objects embedded into a fine mesh like a nylon weave. The procedure itself is unchanged, but in this case it’s done not to embed 3D printed objects into a mesh, but to embed a mesh into a 3D printed object.

The basic idea is that a 3D print is started, then paused after a few layers. A fine fabric mesh (like tulle, commonly used for bridal veils) is then stretched taut across the print bed, and printing is resumed. If all goes well, the result is 3D printed elements embedded into a flexible, wearable sheet.

The beauty of this technique is that the 3D printer doesn’t need to be told a thing, because other than a pause and resume, the 3D print is nothing out of the ordinary. You don’t need to be shy about turning up the speed or layer height settings either, making this a relatively quick print. Cheap and accessible, this technique has gotten some traction in the costume and cosplay scene.

As [Kolomanschell] shows, the concept works great for creating bespoke filters, and the final result looks very professional. Don’t let the lack of a 3D model for your particular fan stop you from trying it for yourself, we’ve already shared a great resource for customizable fan covers. So if you’ve got a 3D printer and a bit of tulle, you have everything you need for a quick afternoon project.

Add A Microscope To Your 3D Printer

There are many ways to keep an eye on your 3D printer as it churns out the layers of your print. Most of us take a peek every now and then to ensure we’re not making plastic vermicelli, and some of us will go further with a Raspberry Pi camera or similar. [Uri Shaked] has taken this a step further, by adding a USB microscope on a custom bracket next to the hot end of his Creality Ender 3.

The bracket is not in itself anything other than a run-of-the-mill piece of 3D printing, but the interest comes in what can be done with it. The Ender 3 has a resolution of 12.5μm on X/Y axes, and 2.5μm on Z axes, meaning that the ‘scope can be positioned to within a hair’s-breadth of any minute object. Of course this achieves the primary aim of examining the integrity of 3D prints, but it also allows any object to be tracked or scanned with the microscope.

For example while examining a basil leaf, [Uri] noticed a tiny insect on its surface and was able to follow it with some hastily entered G-code. Better still, he took a video of the chase, which you can see below the break. From automated PCB quality control to artistic endeavours, we’re absolutely fascinated by the possibilities of a low-cost robotic microscope platform.

[Uri] is a perennial among Hackaday-featured projects, and has produced some excellent work over the years. Most recently we followed him through the production of an event badge.

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Raspberry Pi Helps Vintage Psion Find Its Voice

Ask a hacker to imagine computing in the 1980s, and they might think of the classic 8-bit all-in-one machines from the likes of Commodore and Atari, or perhaps the early PCs and Macs. No matter the flavor, they’ll likely have one thing in common: a lack of mobility thanks to being anchored down by a bulky CRT screen in the form of either a television or a dedicated monitor. Mobile computing at the time was something of an expensive rarity, consisting of various quirky handhelds that today have been all but forgotten.

Looking to see if one of these so-called “pocket computers” could still be of use in 2019, [James Fossey] set out to get his circa 1986 Psion Organiser II connected to the Internet. With a Hitachi CPU, two-line text-only LCD and ABCD keyboard it’s a world away from the modern smartphone, yet as an early stab at a PDA as well as general purpose computer it’s visibly an ancestor of the devices we carry today. Of course, as the Psion was produced before the advent of affordable mobile data and before even the invention of the Web, it needed a bit of help connecting to a modern network.

Psion sold an RS-232 cable accessory which came with both serial terminal and file transfer in ROM, so with one of these sourced and a little bit of hackery involving an RS-232 to TTL converter and a DB-25 connector, he was able to hook it up to a Raspberry Pi. That means it’s reduced to being a dumb terminal for a more powerful machine that can do the heavy lifting, but those with long memories will tell you that’s exactly what would have been done with the help of a modem to connect to a BBS back in 1986. So far he’s got a terminal on the Pi and a Twitter client, but he’s declined to show us the Hackaday Retro Edition.

Psion has rarely featured directly on these pages, but despite being forgotten by many today they were a groundbreaking company whose influence on portable computing stretched beyond their own line of devices. One we have shown you is an effort to put more recent hardware into a Psion Series 5 clamshell.

High Performance Stereo Computer Vision For The Raspberry Pi

Up until now, running any kind of computer vision system on the Raspberry Pi has been rather underwhelming, even with the addition of products such as the Movidius Neural Compute Stick. Looking to improve on the performance situation while still enjoying the benefits of the Raspberry Pi community, [Brandon] and his team have been working on Luxonis DepthAI. The project uses a carrier board to mate a Myriad X VPU and a suite of cameras to the Raspberry Pi Compute Module, and the performance gains so far have been very promising.

So how does it work? Twin grayscale cameras allow the system to perceive depth, or distance, which is used to produce a “heat map”; ideal for tasks such as obstacle avoidance. At the same time, the high-resolution color camera can be used for object detection and tracking. According to [Brandon], bypassing the Pi’s CPU and sending all processed data via USB gives a roughly 5x performance boost, enabling the full potential of the main Intel Myriad X chip to be unleashed.

For detecting standard objects like people or faces, it will be fairly easy to get up and running with software such as OpenVino, which is already quite mature on the Raspberry Pi. We’re curious about how the system will handle custom models, but no doubt [Brandon’s] team will help improve this situation for the future.

The project is very much in an active state of development, which is exactly what we’d expect for an entry into the 2019 Hackaday Prize. Right now the cameras aren’t necessarily ideal, for example the depth sensors are a bit too close together to be very effective, but the team is still fine tuning their hardware selection. Ultimately the goal is to make a device that helps bikers avoid dangerous collisions, and we’ve very interested to watch the project evolve.

The video after the break shows the stereoscopic heat map in action. The hand is displayed as a warm yellow as it’s relatively close compared to the blue background. We’ve covered the combination Raspberry Pi and the Movidius USB stick in the past, but the stereo vision performance improvements Luxonis DepthAI really takes it to another level.

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