Winter NAMM is the world’s largest trade show for musical instrument makers. It is a gear head’s paradise, filled to the brim with guitars, synths, amps, MIDI controllers, an impossibly loud section filled with drums, ukuleles, and all sorts of electronic noisemakers that generate bleeps and bloops. Think of it as CES, only with products people want to buy. We’re reporting no one has yet stuffed Alexa into a guitar pedal, by the way.
As with all trade shows, the newest gear is out, and it’s full of tech that will make your head spin. NAMM is the expression of an entire industry, and with that comes technical innovation. What was the coolest, newest stuff at NAMM? And what can hackers learn from big industry? There’s some cool stuff here, and a surprising amount we can use.
Like any Moore’s Law-inspired race, the megapixel race in digital cameras in the late 1990s and into the 2000s was a harsh battleground for every manufacturer. With the development of the smartphone, it became a war on two fronts, with Samsung eventually cramming twenty megapixels into a handheld. Although no clear winner of consumer-grade cameras was ever announced (and Samsung ended up reducing their flagship phone’s cameras to sixteen megapixels for reasons we’ll discuss) it seems as though this race is over, fizzling out into a void where even marketing and advertising groups don’t readily venture. What happened?
A brief overview of Moore’s Law predicts that transistor density on a given computer chip should double about every two years. A digital camera’s sensor is remarkably similar, using the same silicon to form charge-coupled devices or CMOS sensors (the same CMOS technology used in some RAM and other digital logic technology) to detect photons that hit it. It’s not too far of a leap to realize how Moore’s Law would apply to the number of photo detectors on a digital camera’s image sensor. Like transistor density, however, there’s also a limit to how many photo detectors will fit in a given area before undesirable effects start to appear.
Image sensors have come a long way since video camera tubes. In the ’70s, the charge-coupled device (CCD) replaced the cathode ray tube as the dominant video capturing technology. A CCD works by arranging capacitors into an array and biasing them with a small voltage. When a photon hits one of the capacitors, it is converted into an electrical charge which can then be stored as digital information. While there are still specialty CCD sensors for some niche applications, most image sensors are now of the CMOS variety. CMOS uses photodiodes, rather than capacitors, along with a few other transistors for every pixel. CMOS sensors perform better than CCD sensors because each pixel has an amplifier which results in more accurate capturing of data. They are also faster, scale more readily, use fewer components in general, and use less power than a comparably sized CCD. Despite all of these advantages, however, there are still many limitations to modern sensors when more and more of them get packed onto a single piece of silicon.
While transistor density tends to be limited by quantum effects, image sensor density is limited by what is effectively a “noisy” picture. Noise can be introduced in an image as a result of thermal fluctuations within the material, so if the voltage threshold for a single pixel is so low that it falsely registers a photon when it shouldn’t, the image quality will be greatly reduced. This is more noticeable in CCD sensors (one effect is called “blooming“) but similar defects can happen in CMOS sensors as well. There are a few ways to solve these problems, though.
First, the voltage threshold can be raised so that random thermal fluctuations don’t rise above the threshold to trigger the pixels. In a DSLR, this typically means changing the ISO setting of a camera, where a lower ISO setting means more light is required to trigger a pixel, but that random fluctuations are less likely to happen. From a camera designer’s point-of-view, however, a higher voltage generally implies greater power consumption and some speed considerations, so there are some tradeoffs to make in this area.
Another reason that thermal fluctuations cause noise in image sensors is that the pixels themselves are so close together that they influence their neighbors. The answer here seems obvious: simply increase the area of the sensor, make the pixels of the sensor bigger, or both. This is a good solution if you have unlimited area, but in something like a cell phone this isn’t practical. This gets to the core of the reason that most modern cell phones seem to be practically limited somewhere in the sixteen-to-twenty megapixel range. If the pixels are made too small to increase megapixel count, the noise will start to ruin the images. If the pixels are too big, the picture will have a low resolution.
There are some non-technological ways of increasing megapixel count for an image as well. For example, a panoramic image will have a megapixel count much higher than that of the camera that took the picture simply because each part of the panorama has the full mexapixel count. It’s also possible to reduce noise in a single frame of any picture by using lenses that collect more light (lenses with a lower f-number) which allows the photographer to use a lower ISO setting to reduce the camera’s sensitivity.
Of course, if you have unlimited area you can make image sensors of virtually any size. There are some extremely large, expensive cameras called gigapixel cameras that can take pictures of unimaginable detail. Their size and cost is a limiting factor for consumer devices, though, and as such are generally used for specialty purposes only. The largest image sensor ever built has a surface of almost five square meters and is the size of a car. The camera will be put to use in 2019 in the Large Synoptic Survey Telescope in South America where it will capture images of the night sky with its 8.4 meter primary mirror. If this was part of the megapixel race in consumer goods, it would certainly be the winner.
With all of this being said, it becomes obvious that there are many more considerations in a digital camera than just the megapixel count. With so many facets of a camera such as physical sensor size, lenses, camera settings, post-processing capabilities, filters, etc., the megapixel number was essentially an easy way for marketers to advertise the claimed superiority of their products until the practical limits of image sensors was reached. Beyond a certain limit, more megapixels doesn’t automatically translate into a better picture. As already mentioned, however, the megapixel count can be important, but there are so many ways to make up for a lower megapixel count if you have to. For example, images with high dynamic range are becoming the norm even in cell phones, which also helps eliminate the need for a flash. Whatever you decide, though, if you want to start taking great pictures don’t worry about specs; just go out and take some photographs!
(Title image: VISTA gigapixel mosaic of the central parts of the Milky Way, produced by European Southern Observatory (ESO) and released under Creative Commons Attribution 4.0 International License. This is a scaled version of the original 108,500 x 81,500, 9-gigapixel image.)
However you sell your kits online, you’ll have to find a means of shipping them to the customer. For an online operation this unseen part of the offering is more important than any other when it comes to customer satisfaction, yet so many large players get it so wrong.
This is the final article in a series looking on the process of creating and selling a commercial kit from a personal electronic project (read all the posts in this series). We’ve looked at the market, assembling the kit and its instructions, and how to set up an online sales channel. In this part we’ll look at what happens when you’ve made the sale, how to get it safely to the customer and how to keep the customer happy after the sale by offering support for your products. We’ll also give a nod to marketing your site, ensuring a fresh supply of customers.
[Macaulay Culkin] err… [Kevin McCallister] pulled off some epic 1990 hacks to scare off a couple of bumbling burglars in the classic film Home Alone. Now celebrating its 25th Anniversary, it’s fun to see the tricks [Kevin] used to spoof a house party brought into this age of high-technology.
The trick in the original movie was all about silhouettes in the windows that made the house look full of people. [Michael Jordan’s] cardboard cutout taped to a model train is fairly believable. But really, who has a half-dozen mannequins just sitting in their attic? Creepy.
The marketing company RedPepper are behind the facelift of this pop culture icon. They outfitted their offices with some window dressings that are perfect for the silhouettes. In a delightful cyberpunk twist they went with projects and digital silhouettes. Embracing our current tech-heavy lives is the mobile aspect of it all. Of course there’s an app for that. It means [Kevin] doesn’t have to pull the strings. He can hide outside the building and decide which animations are played by the projectors within. Check it out after the break.
Buzzword technology has two possible fates: they fail and disappear or they succeed and disappear. Remember at one time “multimedia” and “networking” were buzzwords. They succeeded and now they’ve vanished into ubiquity. Of course, there are plenty of failed buzzwords (like telecosm) that you probably don’t even remember. They just vanished into obscurity.
Unless you’ve been living under the CNC mill in your local hackerspace, you’ve probably heard or read about the “Internet of Things” (IoT). Companies big and small have realized that getting in early on The Next Big Thing is good for share prices and, right now, IoT is where everyone is trying to make a play.
There’s two things I’d observe, though: First, IoT is far from new. Connecting embedded systems to the Internet is old hat (I even wrote a book called Embedded Internet Design way back in 2003). Second, the way it is going, IoT–in its current incarnation–is doomed.
Look, we understand the need to find a project to occupy your time and interest. So we’re not going to ask the wrong question (why?) for this one. This guy hates the creme that connects the chocolate cookies to make an Oreo. So he built a complicated system to separate the cookies and remove the creme. Check out the video after the break for a hardware overview (where we catch a glimpse of an Arduino RBBB) and a complete demonstration.
Although the project is a marketing gimmick for the company, we really love the fun they had making the video and the device actually works! Drop a cookie in the chute and it will be lifted into position for cleaving with a hatchet (we’re unsure what the string mechanism on the hatchet is for). The two pieces are then grabbed by some servo-powered grippers and transferred to a CNC router bed where a Dremel tool removes the residual creme before dumping the cookies out into your hand.
Once again, marketers should take note of this style of advertising. Notice the two main features achieved here: including a product in something we’re genuinely interested in and not being annoying (we’re looking at you Head-On).
Looks like Redbull is harnessing the power of open source hardware to market their product to hackers everywhere. We’d say that it worked because here we are, posting up some free advertising for them. It seems that a rep for the company dropped off a package at a hackerspace in LA called Null Space Labs. It came in what is obviously a laser cut wooden box, a material that tends to make hackers salivate. Inside they found the board you see above. It took a bit of time to look over the hardware was eventually identified as an Uzebox. Sure enough, then plugged in an original NES controller to the controller port on the back of the board and were playing a version of Pac-man in no time.
Marketing and advertising have their place in our lives which can be annoying and intrusive at times. But we have no problem with it when done creatively and targeted to our interests. Good job Redbull, and might we add, that’s a heck of a routing path for your PCB outline!
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