The cyberdeck trend has evolved to a relatively straightforward formula: take a desktop computer and strip it to its barest essentials of screen, PCB, and input device, before clothing it in a suitably post-apocalyptic or industrial exterior. Sometimes these can result in a stylish prop straight from a movie set, and happily for [Patrick De Angelis] his Raspberry Pi based cyberdeck (Italian, Google Translate link) fits this description, taking the well-worn path of putting a Raspberry Pi and screen into a ruggedised flight case. Its very unremarkability is the key to its success, using a carefully-selected wired keyboard and trackpad combo neatly dodges the usual slightly messy arrangements of microcontroller boards.
If this cyberdeck has a special feature it’s in the extra wireless interfaces and the stack of antennas on its right-hand side. The Pi touchscreen is a little small for the case and perhaps we’d have mounted it centrally, but otherwise this is a box we could imagine opening somewhere in the abandoned ruins of a once-proud Radio Shack store for a little post-apocalyptic Hackaday editing. After all, your favourite online tech news resource doesn’t stop because the power’s gone out!
[8BitsAndAByte] found herself obsessively labeling items around her house, and, like the rest of the world, wanted to see what simple, routine tasks could be made unnecessarily complicated by using AI. Instead of manually identifying objects using human intelligence, she thought it would be fun to offload that task to our AI overlords and the results are pretty amusing.
She constructed a cardboard enclosure that housed a Raspberry Pi 3B+, a Pi Camera Module V2, and a small thermal printer for making the labels. The enclosure included a hole for the camera and a button for taking the picture. The image taken by the Pi is analyzed by the DeepAI DenseCap API which, in theory, should create a label for each object detected within the image. Unfortunately, it doesn’t seem to do that very well and [8BitsAndAByte] is left with labels that don’t match any of the objects she took pictures of. In some cases it didn’t even get close, for example, the model thought an apple was a person’s head and a rotary dial phone was a cup. Go figure. It didn’t really seem to bother her though, and she got a pretty good laugh from the whole thing.
It appears the model detects all objects in the image, but only prints the label for the object it was most certain about. So maybe part of her problem is there were just too many objects in the background? If that were the case, you could probably improve the accuracy of the model by placing the object against a neutral background. That may confuse the AI a lot less and possibly give you better results. Or maybe try a different classifier altogether? Or don’t. Then you could just use it as a fun, gag project at your next get-together. That works too.
It’s dangerous for a hardware hacker to go into a second-hand store. I was looking for a bed frame for my new apartment, but of course I spent an age browsing all the other rubbish treasures on offer. I have a rough rule of thumb: if it’s not under a tenner and fits in one hand, then it has to be exceptional for me to buy it, so I passed up on a nice Grundig reel-to-reel from the 1960s and instead came away with a folding Palm Pilot keyboard and a Fuji 8mm home movie camera after I’d arranged delivery for the bed. On those two I’d spent little more than a fiver, so I’m good. The keyboard is a serial device that’s a project for a rainy day, but the camera is something else. I’ve been keeping an eye out for one to use for a Raspberry Pi camera conversion, and this one seemed ideal. But once I examined it more closely, I was drawn into an unexpected train of research that shed some light on what must of been real objects of desire for my parents generation.
A Thrift Store Find Opens A Whole New Field
One of the surprises comes in just how small this thing is.
The Fuji P300 from 1972 is typical among consumer movie cameras of the day. It takes the form of a film magazine with a zoom lens assembly on its front, a reflex viewfinder on its side, and a handle with a shutter trigger button on it protruding vertically below the magazine and also housing the batteries.
Surprisingly it still has a mercury cell that would have powered its light meter; a minor annoyance to dispose of this correctly. Sometimes these devices had clockwork motors, but this one has an electric motor. It also has a light sensor that is coupled to some kind of electromechanical aperture. It would have been an expensive camera when it was new, probably as much of a purchase as an SLR or a decent mirrorless camera here in 2021.
The surprise came when I opened it up, for it looked like no other 8mm camera I had seen. I’m familiar wit the two reels of a Standard 8 or the boxy cassette of Super 8, but this one used something different. That film magazine is made to fit a compact twin-reel cartridge whose film fits in a metal film gate. This is a Single 8 camera, Fuji’s entry in the all-in-one 8 mm film market, and a format I never knew existed. To explain my unexpected discovery it was necessary to delve into the world of home movie formats in the decade before videotape arrived and drove them out. Continue reading “The Seductive Pull Of An Obsolete Home Movie Format”→
We’ve only started to tap into the potential of the brand new Pi Zero 2. Having finally received his board, [Brian Dorey] shows us how to boost your Pi’s WiFi, the hacker way. Inline with the onboard WiFi antenna can be found a u.FL footprint, and you just know that someone had to add an external antenna. This is where [Brian] comes in, with a photo-rich writeup and video tutorial, embedded below, that will have you modify your own Zero in no time. His measurements show seeing fourteen networks available in a spot where he’d only see four before, and the RSSI levels reported have improved by 5 dB -10 dB, big when it comes to getting a further or more stable connection.
With old laptops being a decent source of WiFi antennas, you only need to procure a u.FL connector and practice soldering a bit before you take this on! The hardest part of such a project tends to be not accidentally putting any solder on the u.FL connector’s metal can – and [Brian] mostly succeeds in that! He shows how to disconnect the external antenna to avoid signal reflections and the like, and, of course, you will be expected to never power your Pi Zero on without an attached antenna afterwards, lest you have your transmitter become fatally confused by the mismatch of hardware-defined impedance expectations. A Pi Zero isn’t the only place where you’ll encounter footprints for connectors you can add, and arguably, that’s your duty as a hacker – modifying the things you work with in a way that adds functionality. Don’t forget to share how you did it!
In the home theater space most people would tell you the age of optical audio, known officially as TOSLINK, is over. While at one time they were the standard for surround sound systems, the fiber cables with their glowing red tips have now been largely supplanted by the all-in-one capabilities of HDMI on new TVs and audio receivers. But of course, that doesn’t mean all that TOSLINK-compatible hardware that’s in the field simply disappears.
If you’re looking to connect a Raspberry Pi to the optical port of your AV system, [Nick Sayer] has you covered. His “TOSLINK Transceiver Hat” utilizes a WM8804 chip from Cirrus Logic to go from the Pi’s I2S audio output to S/PDIF. From there the signal goes directly into the TOSLINK input and output modules, which have the appropriate fiber optic hardware and drivers built-in. All you have to do from a software standpoint is enable a boot overlay intended for a digital-to-analog converter (DAC) from HiFiBerry.
For hundreds of years, people have fallen asleep while reading in bed late at night. These days it’s worse, what with us taking phones to the face instead when we start to nod off. At least they don’t have pointy corners like books. While you may not want to share your bedroom with a robot, this wake-up robot by [Norbert Zare] may be just the thing to keep you awake.
Here’s how it works: a Raspberry Pi camera on a servo wanders around at eye level, and the Pi it’s attached to uses OpenCV to determine whether those eyes are open or starting to get heavy. The bot can also speak — it uses eSpeak to introduce itself as a bot designed not to let you sleep. Then when it catches you snoozing, it repeatedly intones ‘wake up’ in a bored British accent.
We were sure that the thing was designed to slap [Norbert] in the face a la [Simone Giertz]’s robot alarm clock, but no, that long-fingered hand just slowly swings down and gently taps [Norbert] on the arm (or whatever is in the path of the slappy hand). Check out the short demo and build video after the break.
The various companies and organisations that supply our community have achieved differing levels of success, with some staying as kitchen-table operations and others reaching the giddy heights of multinational commerce. Perhaps none has risen so far as Raspberry Pi though, as there are reports that the developer of single board computers might be seeking a £400m listing on the London Stock Exchange some time next year. The news is that they have sought the advice of investment bankers over the possibility of a float, seeking to secure further investment to further develop their product portfolio.
We’re not investment advisers here at Hackaday so we’re not going to suggest whether or not to bet your shirt on Pi shares, instead our interest lies in what this might mean for their family of products. It’s an inevitable process for any start-up that achieves major success that it will over time progress from being directed by vision to being directed by commerce, and perhaps a listing could be the culmination of this process. It’s fair to say that we tinkerers probably represent less of a market than education or industry to the Pi folks, so how might we win or lose when the suits take the helm?
