Before Arduino There Was Basic Stamp: A Classic Teardown

August 27, 2015 by Brian Benchoff 122 Comments

Microcontrollers existed before the Arduino, and a device that anyone could program and blink an LED existed before the first Maker Faire. This might come as a surprise to some, but for others PICs and 68HC11s will remain as the first popular microcontrollers, found in everything from toys to microwave ovens.

Arduino can’t even claim its prominence as the first user-friendly microcontroller development board. This title goes to the humble Basic Stamp, a four-component board that was introduced in the early 1990s. I recently managed to get my hands on an original Basic Stamp kit. This is the teardown and introduction to the first user friendly microcontroller development boards. Consider it a walk down memory lane, showing us how far the hobbyist electronics market has come in the past twenty year, and also an insight in how far we have left to go.

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Learning Verilog For FPGAs: Hardware At Last!

August 27, 2015 by Al Williams 49 Comments

Getting into FPGA design isn’t a monolithic experience. You have to figure out a toolchain, learn how to think in hardware during the design, and translate that into working Verliog. The end goal is getting your work onto an actual piece of hardware, and that’s what this post is all about.

In the previous pair of installments in this series, you built a simple Verilog demonstration consisting of an adder and a few flip flop-based circuits. The simulations work, so now it is time to put the design into a real FPGA and see if it works in the real world. The FPGA board we’ll use is the Lattice iCEstick, an inexpensive ($22) board that fits into a USB socket.

Like most vendors, Lattice lets you download free tools that will work with the iCEstick. I had planned to use them. I didn’t. If you don’t want to hear me rant about the tools, feel free to skip down to the next heading.

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The Race To Develop Technology That Enhances Elder Care

August 26, 2015 by Dan Maloney 31 Comments

It happens with every generation – we’re born, our parents care for us and nurture us, we grow up, they grow old, and then we switch roles and care for them. Soon it’ll be my turn to be the caregiver to my parents, and I recently got a preview of things to come when my mom fell and busted her ankle. That it wasn’t the classic broken hip was a relief, but even “just” a broken ankle was difficult enough to deal with. I live 40 minutes away from the ‘rents, and while that’s not too bad when the visits are just the weekly dinner at Grammy’s, the time and the miles really start to add up when the visits turn into every other day to make sure Mom’s getting around OK and Dad is eating and sleeping.

I was sorely tempted to hack some kind of solution to give myself a rudimentary telepresence, but I couldn’t think of anything that wouldn’t have either been unacceptably intrusive (think webcams) or difficult to support from an IT perspective. Mom’s pretty handy with the iPad and she Skypes with my brother and his family out in California, but beyond leveraging that I was tapped out for ideas that I could easily deploy and would deliver sufficient value beyond the support burden within the time frame of healing the ankle. Consequently, I spent a lot of time in the car this summer.

This experience got me to thinking about how intergenerational caregiving will change with the rise of pervasive technology. The bad news: we’re still going to get old, and getting old sucks. The good news is, I think technology is going to make things easier for caregivers and elders alike. We have an incredible range of technology experiences among the generations present right now, from my parents who can remember phones without dials and nights spent listening to the radio, to my daughter’s generation that is practically growing up with supercomputers in the palms of their hands. How each generation ages and how it embraces technology as a solution for age-related problems are going to be vastly different.

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You Own Your MRI Brainscan; Do Something Interesting With It

August 25, 2015 by Richard Baguley 46 Comments

The most complicated and fascinating gadget you will ever own is your brain. Why not pay tribute to this wonder by creating a 3D scale model that you can print yourself? If you have had a full-head MRI scan, it is simple to take this data and create a 3D model that you can print out on any 3D printer. Here’s how to print your brain.

To begin, you are going to need an MRI scan. Unfortunately, the low-field MRI that [Peter Jansen] is working on won’t quite cut it (yet): you’ll have to get the pros to do it. The type of scan also matters, because we want a scan that focusses in on the brain itself, not the bits around it. What type you get depends on what your doctor wants to know, as the radiologist can run a lot of different scans and analysis of the data to show different types of tissue. After looking through the scans that I got, I settled on one that was labelled eB1000i(BRAIN) With and Without Contrast. To a radiologist, that information means a lot, telling you what type of scan it is, and that it was done with a contrast agent, a metal dye that is injected to make water-rich tissues (like my brain) more visible. The number refers to something called the diffusion weighting, which helps the doctor look for swelling that can indicate things like strokes, tumors, etc. There’s a good guide to some of the jargon here.

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10 Best Product Finalists Announced

August 24, 2015 by Brian Benchoff 11 Comments

The Best Product competition within the 2015 Hackaday Prize highlights the work it takes for any hardware developer or startup to move from prototype to a manufacturable product. To compete, each entry had to go well beyond the standard requirements of the Hackaday Prize with more in-depth documentation, and by shipping three working beta units to Hackaday for judging.

The 10 Finalists featured below are all exceptional and will compete for the next four weeks to be named The Best Product. In addition to the top spot, they will secure a $100,000 cash prize, a six month residency in the Supplyframe Design Lab in Pasadena, California, and help with making connections needed to move their product forward. This is the perfect contest for product engineers, hardware startups, or anyone else who can design the next great thing.

We spent last week judging all the entries for the Best Product contest, and the results are in. Who are the winners? Which products are moving on to the next round of judging? See the full details of all Best Product finalists or browse a summary of each below, presented in no particular order whatsoever.

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Robots Are Coming For Our Jobs. Just Not All Of Them.

August 24, 2015 by Kristina Panos 98 Comments

There is a lot to be said for replacing certain kinds of jobs with robots. Most people would agree that replacing physical human labor with automation is a good thing. It’s especially good to automate the dangerous kinds of labor like some facets of factory work. What about automation in fields that require more mental labor, where physical strain isn’t the concern? Is replacing humans really the best course of action? A year ago, a video called Humans Need Not Apply set forth an explanation of how robots will inevitably replace us. But that narrative is a tough sell.

Whether it is even possible depends on the job being automated. It also depends on how far we are able to take technology, and the amount of labor we are willing to offload. Automation has been replacing human workers in assembly and manufacturing industries for years. Even with equipment and upkeep expenses, the tireless nature of robotic workers means dramatically lower overhead for businesses.

Many of the current forms of factory automation are rather dumb. When something goes wrong and their task is compromised, they keep chugging away. That costs time and money. But there are companies out there producing robots that are better on many levels.

May Your Robot Overlords Be Cute and Cuddly

In 2013, Rethink Robotics started filling orders for a new line called Baxter. They are a class of general purpose robot that can be programmed to do many kinds of manual tasks. Baxter bots have vision, and they can learn how to do a job simply by watching. They don’t need to be programmed in the traditional sense.

Baxter even has a face – a screen that shows different expressions depending on his state. When he’s in the midst of a task, his eyes are cast downward. If something goes wrong, he stops what he’s doing. His cartoon face appears sort of shocked, then sad. He goes into safe mode and waits to be fixed.

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100 Semifinalists For The 2015 Hackaday Prize

August 24, 2015 by Mike Szczys 26 Comments

Entries for the 2015 Hackaday Prize — the nine-month design contest that challenges you to build something that matters — closed one week ago today. There were over 900 entries and everyone at Hackaday has been blown away by the different approaches used to solve problems affecting a large number of people, and at the huge body of Open Hardware that has been documented by the process.

Today it is our pleasure to announce the 100 Semifinalists who will move on to the next round. Congratulations to you all on this accomplishment. These designs will continue to be refined as we approach the September 21st deadline where 10 finalists will be chosen by our expert judging panel: Akiba, Pete Dokter, Lenore Edman, Limor Fried, Jack Ganssle, Dave Jones, Heather Knight, Ben Krasnow, Ian Lesnet, Windell Oskay, Micah Scott, and Elecia White. The 10 finalists will go on to compete for the Grand Prize: A Trip into Space or $196,883.

For those who didn’t move on to the Semifinal round, please do not take this as a strike against your work. Don’t stop now, your ideas can still change the world!

Best Product finalists were announced in this post.

Browse the 2015 Semifinalists List or the full list of entries.

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