For those who grew up with video games, the legendary sounds of consoles past are an instant nostalgia hit. [Thea Flowers] first got her hands on a gamepad playing Sonic the Hedgehog, so the sounds of the Sega Genesis hold a special place in her heart. Decades later, this inspired the creation of Genesynth, a hardware synth inspired by the classic console. The journey of developing this hardware formed the basis of [Thea]’s enlightening Supercon talk.
[Thea’s] first begins by exploring why the Genesis sound is so unique. The Sega console slotted neatly into a time period where the company sought to do something more than simple subtractive synthesis, but before it was possible to use full-waveform audio at an affordable price point. In collaboration with Yamaha, the YM2612 FM synthesis chip was built, a cost-reduced sound engine similar to that in the famous DX7 synthesizer of the 1980s. This gave the Genesis abilities far beyond the basic bleeps and bloops of other consoles at the time, and [Thea] decided it simply had to be built into a dedicated hardware synth.
One of the nice things about a road trip is you often get to see something that really surprises you. A recent trip through Texas may have resulted in my second most surprising sighting. There’s a strange tower that looks oddly like a Tesla tower in the middle of rural Texas, right off the main interstate. What is it? Although Google did answer the question — sort of — I’m still not sure how legitimate its stated purpose is.
First Sighting
I was driving between Wimberly and Frisco — two towns that aren’t exactly household names outside of Texas. Near Milford, there’s a very tall structure that looks like a giant mechanical mushroom on top of a grain silo. If the mushroom were inverted or pointing towards the horizon, it would be easy to imagine it was some very odd antenna. This dish, however, is pointed right down its own odd-shaped mast. The top of the thing sure looks like the top of a Van de Graf generator.
Friday, November 15, 2019 – PASADENA. The 2019 Hackaday Superconference is getting into high gear as I write this. Sitting in the Supplyframe HQ outside the registration desk is endlessly entertaining, as attendees pour in and get their swag bags and badges. It’s like watching a parade of luminaries from the hardware hacking world, and everyone looks like they came ready to work. The workshops are starting, the SMD soldering challenge is underway, and every nook and cranny seems to have someone hunched over the amazing Hackaday Superconference badge, trying to turn it into something even more amazing. The talks start on Saturday, and if you’re not one of the lucky hundreds here this weekend, make sure you tune into the livestream so you don’t miss any of the action.
The day when the average person is able to shoot something out of the sky with a laser is apparently here. Pablo, who lives in Argentina, has beeing keeping tabs on the mass protests going on in neighboring Chile. Huge crowds have been gathering regularly over the last few weeks to protest inequality. The crowd gathered in the capital city of Santiago on Wednesday night took issue with the sudden appearance of a police UAV overhead. In an impressive feat of cooperation, they trained 40 to 50 green laser pointers on the offending drone. The videos showing the green beams lancing through the air are quite amazing, and even more amazing is the fact that the drone was apparently downed by the lasers. Whether it was blinding the operator through the FPV camera or if the accumulated heat of dozens of lasers caused some kind of damage to the drone is hard to say, and we’d guess that the drone was not treated too kindly by the protestors when it landed in the midsts, so there’s likely not much left of the craft to do a forensic analysis, which is a pity. We will note that the protestors also trained their lasers on a police helicopter, an act that’s extremely dangerous to the human pilots which we can’t condone.
In news that should shock literally nobody, Chris Petrich reports that there’s a pretty good chance the DS18B20 temperature sensor chips you have in your parts bin are counterfeits. Almost all of the 500 sensors he purchased from two dozen vendors on eBay tested as fakes. His Github readme has an extensive list that lumps the counterfeits into four categories of fake-ness, with issues ranging from inaccurate temperature offsets to sensors without EEPROM that don’t work with parasitic power. What’s worse, a lot of the fakes test almost-sorta like authentic chips, meaning that they may work in your design, but that you’re clearly not getting what you paid for. The short story to telling real chips from the fakes is that Maxim chips have laser-etched markings, while the imposters sport printed numbers. If you need the real deal, Chris suggests sticking with reputable suppliers with validated supply chains. Caveat emptor.
A few weeks back we posted a link to the NXP Homebrew RF Design Challenge, which tasked participants to build something cool with NXP’s new LDMOS RF power transistors. The three winners of the challenge were just announced, and we’re proud to see that Razvan’s wonderfully engineered broadband RF power amp, which we recently featured, won second place. First place went to Jim Veatch for another broadband amp that can be built for $80 using an off-the-shelf CPU heatsink for thermal management. Third prize was awarded to a team lead by Weston Braun, which came up with a switch-mode RF amp for the plasma cavity for micro-thrusters for CubeSats, adorably named the Pocket Rocket. We’ve featured similar thrusters recently, and we’ll be doing a Hack Chat on the topic in December. Congratulations to the winners for their excellent designs.
It may come as little surprise to find that Hackaday does not often play host to typewriter projects. While these iconic machines have their own particular charm, they generally don’t allow for much in the way of hardware modification. But then the IBM Wheelwriter 1000 isn’t exactly a traditional typewriter, which made its recent conversion to a fully functional computer terminal possible.
A product of the Computer History Museum’s [IBM 1620 Jr. Team], this modification takes the form of a serial interface board that can be built at home and installed into the Wheelwriter. The board allows the vintage electronic typewriter to speak RS-232 and USB, so it can be connected to whatever vintage (or not so vintage) computer you can imagine. The documentation for the project gives a rough cost of $150, though that does assume you’ve already got a Wheelwriter 1000 kicking around.
The GitHub repository includes everything you need to create your own board, and there’s even a highly detailed installation guide that goes over the case modifications necessary to get the new hardware installed. It also explains that you’ll want to get a new keycap set for your Wheelwriter if you perform this modification, as the original board doesn’t have all of the ASCII characters.
So why adapt an old electric typewriter to function as a teletype? As explained by the [IBM 1620 Jr. Team], there are projects out there looking to recreate authentic 1960s-era computing experiences that need a (relatively) affordable paper terminal. The originals are too rare to use in modern recreations, but with their adapter board, these slightly less archaic input devices can be used in their place.
Fully understanding the planet’s complex ecosystem takes data, and lots of it. Unfortunately, the ability to collect detailed environmental data on a large scale with any sort of accuracy has traditionally been something that only the government or well-funded institutions have been capable of. Building and deploying the sensors necessary to cover large areas or remote locations simply wasn’t something the individual could realistically do.
But by leveraging modular hardware and open source software, the FieldKit from [Conservify] hopes to even the scales a bit. With an array of standardized sensors and easy to use software tools for collating and visualizing collected data, the project aims to empower independent environmental monitoring systems that can scale from a handful of nodes up to several hundred.
We’ve all seen more than enough DIY environmental monitoring projects to know there’s nothing particularly new or exciting about stuffing a few cheap sensors into a plastic container. But putting high quality, reliable hardware into large scale production is another thing entirely. Especially when your target user may have limited technical knowledge.
That’s why FieldKit is designed around a common backplane with modular sensors and add-on boards that can be plugged in and easily configured with a smartphone application. Whether the node is going to be mounted to a pole and powered by a solar panel, or attached to a buoy, most of the hardware stays the same.
While the electronics and the software interface are naturally the stars of the show here, we can’t help but also be impressed with the enclosure for the FieldKit. It seems a minor thing, but as we’ve seen from the projects that have come our way over the years, finding a box to put your hardware in that’s affordable, adaptable, and weatherproof is often a considerable challenge in itself. Rather than using something commercially available, [Conservify] has designed their own enclosure that’s inspired by the heavy duty (but prohibitively expensive) cases from Pelican. It features a replaceable panel on one side where the user can pop whatever holes will be necessary to wire up their particular project without compromising the case itself; just get a new panel when you want to reconfigure the FieldKit for some other task. Prototypes have already been 3D printed, and the team will be moving to injection molded versions in the near future.
As a finalist in the 2019 Hackaday Prize, FieldKit exemplifies everything we’re looking for this year: a clear forward progression from prototype to final hardware, an obvious need for mass production, and the documentation necessary to show why this project is deserving of the $125,000 grand prize up for grabs.
Typically, amateur radio operators use the minimum power needed to accomplish a contact. That’s just part of being a good spectrum citizen, and well-earned bragging rights go to those who make transcontinental contacts on the power coming from a coin cell. But sometimes quantity has a quality all its own, and getting more power into the ether is what the contact requires. That’s where builds such as this well-engineered 600W broadband RF amplifier come into play.
We’re really impressed with the work that [Razvan] put into this power amp. One of the great joys of being a ham is being able to build your own gear, and to incorporate the latest technology long before the Big Three manufacturers start using it. While LDMOS transistors aren’t exactly new – laterally-diffused MOSFETs have been appearing in RF power applications for decades – the particular parts used for the amp, NXP’s MRF300 power transistors, are pretty new to the market. A pair of the LDMOS devices form the heart of the push-pull amp, as do an array of custom-wound toroids and transformers including a transmission line transformer wound with 17-ohm coax cable. [Razvan] paid a lot of attention to thermal engineering, too, with the LDMOS transistors living in cutouts in the custom PCB so they can mate with a hefty heatsink. Even the heatsink compound is special; rather than the typical silicone grease, he chose a liquid metal alloy called Gallinstan. The video below gives a tour of the amp and shows some tests with impressive results.
Tesla have always aimed to position themselves as part automaker, part tech company. Their unique offering is that their vehicles feature cutting-edge technology not available from their market rivals. The company has long touted it’s “full self-driving” technology, and regular software updates have progressively unlocked new functionality in their cars over the years.
The latest “V10” update brought a new feature to the fore – known as Smart Summon. Allowing the driver to summon their car remotely from across a car park, this feature promises to be of great help on rainy days and when carrying heavy loads. Of course, the gulf between promises and reality can sometimes be a yawning chasm.
How Does It Work?
Holding the “Come To Me” button summons the vehicle to the user’s location. Releasing the button stops the car immediately.
Smart Summon is activated through the Tesla smartphone app. Users are instructed to check the vehicle’s surroundings and ensure they have line of sight to the vehicle when using the feature. This is combined with a 200 foot (61 m) hard limit, meaning that Smart Summon won’t deliver your car from the back end of a crowded mall carpark. Instead, it’s more suited to smaller parking areas with clear sightlines.
Once activated, the car will back out of its parking space, and begin to crawl towards the user. As the user holds down the button, the car moves, and will stop instantly when let go. Using its suite of sensors to detect pedestrians and other obstacles, the vehicle is touted to be able to navigate the average parking environment and pick up its owners with ease.
No Plan Survives First Contact With The Enemy
With updates rolled out over the air, Tesla owners jumped at the chance to try out this new functionality. Almost immediately, a cavalcade of videos began appearing online of the technology. Many of these show that things rarely work as well in the field as they do in the lab.
As any driver knows, body language and communication are key to navigating a busy parking area. Whether it’s a polite nod, an instructional wave, or simply direct eye contact, humans have become well-rehearsed at self-managing the flow of traffic in parking areas. When several cars are trying to navigate the area at once, a confused human can negotiate with others to take turns to exit the jam. Unfortunately, a driverless car lacks all of these abilities.
This situation proved all too much for the Tesla, and the owner was forced to intervene.
A great example is this drone video of a Model 3 owner attempting a Smart Summon in a small linear carpark. Conditions are close to ideal – a sunny day, with little traffic, and a handful of well-behaved pedestrians. In the first attempt, the hesitation of the vehicle is readily apparent. After backing out of the space, the car simply remains motionless, as two human drivers are also attempting to navigate the area. After backing up further, the Model 3 again begins to inch forward, with seemingly little ability to choose between driving on the left or the right. Spotting the increasing frustration of the other road users, the owner is forced to walk to the car and take over. In a second attempt, the car is again flummoxed by an approaching car, and simply grinds to a halt, unable to continue. Communication between autonomous vehicles and humans is an active topic of research, and likely one that will need to be solved sooner rather than later to truly advance this technology.
Pulling straight out of a wide garage onto an empty driveway is a corner case they haven’t quite mastered yet.
An expensive repair bill, courtesy of Smart Summon.
Other drivers have had worse experiences. One owner had their Tesla drive straight into the wall of their garage, an embarrassing mistake even most learner drivers wouldn’t make. Another had a scary near miss, when the Telsa seemingly failed to understand its lack of right of way. The human operator can be seen to recognise an SUV approaching at speed from the vehicle’s left, but the Tesla fails to yield, only stopping at the very last minute. It’s likely that the Smart Summon software doesn’t have the ability to understand right of way in parking environments, where signage is minimal and it’s largely left up to human intuition to figure out.
This is one reason why the line of sight requirement is key – had the user let go of the button when first noticing the approaching vehicle, the incident would have been avoided entirely. Much like other self-driving technologies, it’s not always clear how much responsibility still lies with the human in the loop, which can have dire results. And more to the point, how much responsibility should the user have, when he or she can’t know what the car is going to decide to do?
More amusingly, an Arizona man was caught chasing down a Tesla Model 3 in Phoenix, seeing the vehicle rolling through the carpark without a driver behind the wheel. While the embarassing incident ended without injury, it goes to show that until familiarity with this technology spreads, there’s a scope for misunderstandings to cause problems.
It’s Not All Bad, Though
Some users have had more luck with the feature. While it’s primarily intended to summon the car to the user’s GPS location, it can also be used to direct the car to a point within a 200 foot radius. In this video, a Tesla can be seen successfully navigating around a sparsely populated carpark, albeit with some trepidation. The vehicle appears to have difficulty initially understanding the structure of the area, first attempting a direct route before properly making its way around the curbed grass area. The progress is more akin to a basic line-following robot than an advanced robotic vehicle. However, it does successfully avoid running down its owner, who attempts walking in front of the moving vehicle to test its collision avoidance abilities. If you value your limbs, probably don’t try this at home.
No, not like that!
Wanting to explore a variety of straightforward and oddball situations, [DirtyTesla] decided to give the tech a rundown himself. The first run in a quiet carpark is successful, albeit with the car weaving, reversing unnecessarily, and ignoring a stop sign. Later runs are more confident, with the car clearly choosing the correct lane to drive in, and stopping to check for cross traffic. Testing on a gravel driveway was also positive, with the car properly recognising the grass boundaries and driving around them. That is, until the fourth attempt, when the car gently runs off the road and comes to a stop in the weeds. Further tests show that dark conditions and heavy rain aren’t a show stopper for the system, but it’s still definitely imperfect in operation.
Reality Check
Fundamentally, there’s plenty of examples out there that suggest this technology isn’t ready for prime-time. Unlike other driver-in-the-loop aids, like parallel parking assists, it appears that users put a lot more confidence in the ability of Smart Summon to detect obstacles on its own, leading to many near misses and collisions.
If all it takes is a user holding a button down to drive a 4000 pound vehicle into a wall, perhaps this isn’t the way to go. It draws parallels to users falling asleep on the highway when using Tesla’s AutoPilot – drivers are putting ultimate trust in a system that is, at best, only capable when used in combination with a human’s careful oversight. But even then, how is the user supposed to know what the car sees? Tesla’s tools seem to have a way of lulling users into a false sense of confidence, only to be betrayed almost instantly to the delight of Youtube viewers around the world.
While it’s impossible to make anything truly foolproof, it would appear that Tesla has a ways to go to get Smart Summon up to scratch. Combine this with the fact that in 90% of videos, it would have been far quicker for an able-bodied driver to simply walk to the vehicle and drive themselves, and it definitely appears to be more of a gimmick than a useful feature. If it can be improved, and limitations such as line-of-sight and distance can be negated, it will quickly become a must-have item on luxury vehicles. That may yet be some years away, however. Watch this space, as it’s unlikely other automakers will rest for long!
