Forbes Says The Raspberry Pi Is Big Business

March 18, 2019 by Tom Nardi 45 Comments

Not that it’s something the average Hackaday reader is unaware of, but the Raspberry Pi is a rather popular device. While we don’t have hard numbers to back it up (extra credit for anyone who wishes to crunch the numbers), it certainly seems a day doesn’t go by that there isn’t a Raspberry Pi story on the front page. But given that a small, cheap, relatively powerful, Linux computer was something the hacking community had dreamed of for years, it’s hardly surprising.

But how popular is the Raspberry Pi among people who don’t necessarily spend their free time reading weird black-background websites? Well, according to a recent article in Forbes, the Pi has been spotted putting in an honest days work all over the world. From factories to garbage trucks, everyone’s favorite Linux computer has come a long a way from its humble beginnings. How does it feel knowing a $35 computer has a longer resume than you do?

Unfortunately, the Forbes article doesn’t have the sort of deep technical details we’re used to around these parts. The fact that the article opens by describing the Raspberry Pi as a “stripped-down circuit board covered with metal pins and squares” should tell you all you need to know about the overlap between Forbes and Hackaday readers, but we think author [Parmy Olson] still tells an story interesting regardless.

So where has the Pi been seen punching a clock? At Sony, for a start. The consumer electronics giant has been installing Pis in several of their factories to monitor various pieces of equipment. They record everything from temperature to vibration and send that to a centralized server using an in-house developed protocol. Some of the Pis are even equipped with cameras which feed into computer vision systems to keep an eye out for anything unusual.

[Parmy] also describes how the Raspberry Pi is being used in Africa to monitor the level of trash inside of garbage bins and automatically dispatch a truck to come pick it up for collection. In Europe, they’re being used to monitor the health of fueling stations for hydrogen powered vehicles. All over the world, businesses are realizing they can build their own monitoring systems for as little as 1/10th the cost of turn-key systems; with managers occasionally paying for the diminutive Linux computers out of their own pocket.

The impact the Pi has had on the hardware world is difficult to overstate. It’s redefined the status quo for single board computers, and with the platform continuing to evolve, there’s no sign its incredible journey is slowing down anytime soon.

[Thanks to Itay for the tip.]

Hackaday Links: March 17, 2019

March 17, 2019 by Brian Benchoff 35 Comments

There’s now an official Raspberry Pi keyboard and mouse. The mouse is a mouse clad in pink and white plastic, but the Pi keyboard has some stuff going for it. It’s small, which is what you want for a Pi keyboard, and it has a built-in USB hub. Even Apple got that idea right with the first iMac keyboard. The keyboard and mouse combo are available for £22.00

A new Raspberry Pi keyboard and a commemorative 50p coin from the Royal Mint featuring the works of Stephen Hawking? Wow, Britain is tearing up the headlines recently.

Just because, here’s a Power Wheels Barbie Jeep with a 55 HP motor. Interesting things to note here is how simple this build actually is. If you look at some of the Power Wheels Racing cars, they have actual diffs on the rear axle. This build gets a ton of points for the suspension, though. Somewhere out there on the Internet, there is the concept of the perfect Power Wheels conversion. There might be a drive shaft instead of a drive chain, there might be an electrical system, and someone might have figured out how someone over the age of 12 can fit comfortably in a Power Wheels Jeep. No one has done it yet.

AI is taking away our free speech! Free speech, as you’re all aware, applies to all speech in all forms, in all venues. Except you specifically can’t yell fire in a movie theater, that’s the one exception. Now AI researchers are treading on your right to free speech, an affront to the Gadsden flag flying over our compound and the ‘no step on snek’ patch on our tactical balaclava, with a Chrome plugin. This plugin filter’s ‘toxic’ comments with AI, but there’s an unintended consequence: people ~~want~~ need to read what I have to say, and this will filter it out! The good news is that it doesn’t work on Hackaday because our commenting system is terrible.

This week was the 30th anniversary of the World Wide Web, first proposed on March 11, 1989 by Tim Berners-Lee. The web, and to a greater extent, the Internet, is the single most impactful invention of the last five hundred years; your overly simplistic view of world history can trace modern western hegemony and the reconnaissance to Gutenberg’s invention of the printing press, and so it will be true with the Internet. Tim’s NeXT cube, in a case behind glass at CERN, will be viewed with the same reverence as Gutenberg’s first printing press (if it had survived, but you get where I’m going with this). Five hundred years from now, the major historical artifact from the 20th century will be a NeXT cube, that was, coincidentally, made by Steve Jobs. If you want to get your hands on a NEXT cube, be prepared to pony up, but Adafruit has a great authorial for running Openstep on a virtual machine. If you want the real experience, you can pick up a NeXT keyboard and mouse relatively cheaply.

Sometimes you need an RCL box, so here’s one on Kickstarter. Yeah, it’s kind of expensive. Have you ever bought every value of inductor?

Alma The Talking Dog Might Win Some Bar Bets

March 16, 2019 by Al Williams 17 Comments

Students at the University of Illinois at Urbana-Champaign have a brain-computer interface that can measure brainwaves. What did they do with it? They gave it to Alma, a golden labrador, as you can see in the video below. The code and enough info to duplicate the electronics are on GitHub.

Of course, the dog doesn’t directly generate speech. Instead, the circuit watches her brainwaves via an Arduino and feeds the raw data to a Raspberry Pi. A machine learning algorithm determines Alma’s brainwave state and plays prerecorded audio expressing Alma’s thoughts.

Continue reading “Alma The Talking Dog Might Win Some Bar Bets” →

Twelve Channels Of LEDs Give RRRRGGGGBBBB Light

March 12, 2019 by Brian Benchoff 31 Comments

If you’ve ever searched Mouser or Digikey for LEDs parametrically, you won’t find just one red in your LEDs. You won’t find one green. There is quite literally an entire rainbow of colors of LEDs, and this rainbow goes into infrared and ultraviolet. You can search LEDs by frequency, and an RGEB LED is right at your fingertips. The ‘E’ stands for Emerald, and it’s better than a Bayer filter.

[ayjaym] over on Instructables realized anyone could buy a dozen frequencies of high-power LEDs, and the obvious application for this is to turn it into a tunable light source. The Angstrom is twelve LEDs, all different colors, and all controlled by PWM and piped down a single optical fiber. It’s an RRRRGGGGBBBB LED, ideal for microscopy, forensics, colorimetry, and seeing octoreen.

The heart of this device are twelve 3W star LEDs, with the following wavelengths: 390, 410, 440, 460, 500, 520, 560, 580, 590, 630, 660, and 780 nm. That’s deep red to almost ultra violet, and everything inbetween. These are powered by a 5 V, 60 W power supply, and controlled via a Raspberry Pi with 12 PWM channels in a circuit that’s basically just a bunch of MOSFETs. Proper heatsinking is required.

The impressive part of this build is the optics. A 3D printed mount holds and connects optical fibers and sends them into an optical combiner that is basically just a square acrylic rod. This is output to another optical fiber that will shine on just about anything. A webpage running on a Raspberry Pi sets the PWM channels of all the LEDs, and the resulting output shows up at the end of an optical fiber. It’s great if you want to look at something in a specific frequency of light. It also looks really cool, so that’s a bonus.

Raspberry Pi Camera With Smarts — Cloud Or Local?

March 7, 2019 by Al Williams 20 Comments

[Mark West] gave an interesting presentation at last year’s GOTO Copenhagen conference. He shows how he took a simple Raspberry Pi Zero webcam and expanded it with AI. He actually added the intelligent features in two different ways: on in the Amazon cloud and another using the Intel Modvidius NCS USB stick directly connected to the USB. You can see the video below.

Local motion detection uses some open source software. You simply configure it using a text file and it even handles the video streaming. However, at that point, you just have a web camera — not amazing, nor very cost effective. However, you get a lot of false alarms with the motion detection software. A random cat walking past, clouds, trees, or even rain would push [Mark] an email and after 250 alert e-mails a day, [Mark] decided to make something better.

Continue reading “Raspberry Pi Camera With Smarts — Cloud Or Local?” →

Balena Introduces DIN-Capable Pi Compute Module Carrier Board

March 1, 2019 by Brian Benchoff 17 Comments

Although you don’t hear about it very much over the clamor of emulating old video game systems, one of the biggest uses of the Raspberry Pi outside its educational roots is in industry. The Pi makes for a great industrial control system, and if you mount it to a DIN rail, you’re golden. This is the biggest reason the Pi foundation is still making the Pi 1, and it’s one of the big motivations behind the Pi Compute Module.

Now that the Pi Compute Module 3 and 3+ have been out for a while, it’s only fitting that these modules get a great carrier board. The balenaFin 1.1 is out now, and it’s the perfect carrier board for the Pi compute module.

Balena (formerly resin.io) is a software stack designed for managing fleets of Linux devices, and there’s no better example of that than a factory filled with Pis fiddling relays and such. Balena has found its way from tracking sea turtles to monitoring oil rigs, and with that comes a need for a developer kit. The Pi compute module is supposed to have a very long support life, so the obvious solution is to make a great carrier board for this fantastic module.

Features of note include two camera connectors, PoE (with a Hat), USB headers, an RGB indicator LED, an industrial temperature range, and a case designed for a DIN rail. So far, so goo, but there’s also a microcontroller with a Bluetooth radio that can operate without the compute module being turned on, and an RTC for time-based operation. There’s a mini PCI express slot designed for cellular modems, and a SIM card slot just for fun.

While most Pi builds we see could make use of these features, they are assuredly one-off builds. You’re not going to be deploying hundreds of Pis if you need to 3D print an enclosure for each one. That’s when actual engineers need to get involved, and if you’re doing that, you might as well go with the Raspberry Pi compute module. If you’re looking for a fleet of Pis, you could do worse than to look at this very nice compute module carrier board.

Leigh Johnson’s Guide To Machine Vision On Raspberry Pi

March 1, 2019 by Roger Cheng 9 Comments

We salute hackers who make technology useful for people in emerging markets. Leigh Johnson joined that select group when she accepted the challenge to build portable machine vision units that work offline and can be deployed for under $100 each. For hardware, a Raspberry Pi with camera plus screen can fit under that cost ceiling, and the software to give it sight is the focus of her 2018 Hackaday Superconference presentation. (Video also embedded below.)

The talk is a very concise 13 minutes, so Leigh flies through definitions of basic terms, before quickly naming TensorFlow and Keras as the tools she used. The time she saved here was spent on explaining what convolutional neural networks are and how they work, just enough to prepare the audience. But all of that is really just background, the meat of the talk is self-contained examples that Leigh has put together and made available online. I love to see that since it means you go beyond just watching and try it out for yourself. Continue reading “Leigh Johnson’s Guide To Machine Vision On Raspberry Pi” →