Friday Hack Chat: Making In Shenzhen

August 30, 2017 by 7 Comments

China is an amazing land of opportunity, and if you want to build anything, you can build it in Shenzhen. This city that was just a small fishing village a few decades ago has grown into a cyberpunk metropolis of eleven million and has become the manufacturing capital of the world. You’re probably reading this on a device made somewhere around Shenzhen.

For this week’s Hack Chat, we’re going to be talking about manufacturing in Shenzhen. We’re bringing in a very special guest for this one: [Naomi Wu] is a Cantonese DIY maker, professional web dev, transhumanist, electronics reviewer, occasional Hackaday contributor, vlogger, 3D printerer, advocate of women in STEM, SexyCyborg, and a riot on Twitter. [Naomi] also lives and works in Shenzhen, and is tapped into the DIY and maker culture there. She’s created 3D printed pen testing shoes, a Raspberry Pi cosmetics case, and infinity skirts.

This Friday (or Saturday, depending on which side of the date line you’re on), [Naomi] is going to be talking about manufacturing, making, DIY, and Shenzhen culture. Of particular interest will be electronics purchasing and manufacturing in Shenzhen, designing wearable projects with an emphasis on power and thermal design, documenting projects, and Shenzhen culture. This is basically an AMA, so if you have any questions you’d like to ask, throw them up in this spreadsheet.

Here’s How To Take Part:

join-hack-chatOur Hack Chats are live community events on the Hackaday.io Hack Chat group messaging. Hack Chats are usually at noon, Pacific time on Friday. This week we’re doing the Hack Chat a little later, because timezones. This week’s Hack Chat will be at 6 pm PDT Friday / 9 am CST Saturday. Confused? Here’s a time and date converter!

Click that speech bubble to the right, and you’ll be taken directly to the Hack Chat group on Hackaday.io

You don’t have to wait until Friday; join whenever you want and you can see what the community is talking about.

Portable SNES Chiptune Player

August 30, 2017 by 8 Comments

Chiptunes are the fantastic, bleeping musical renditions of the soundchips of retro consoles past. Performers of the art overwhelmingly favour the various flavours of Game Boy, though there are those who work with such varied machines as the Commodore 64, Sega Genesis, and the Nintendo Entertainment System. A little more off the beaten track in the chiptune scene is the Super Nintendo, but [kevtris] has struck out and built a chiptune player for SNES-based music.

The heavy lifting is handled by an FPGA, which emulates the SNES’s S-SMP sound processor, and handles loading the music from the SPC-format files. Being chiptunes, these files store both the instrument data as well as the note data for the music. Audio output is clean and crisp, as heard in the test video.

The laser cut case lends the device a great aesthetic.

Case design is where this project really shines. Laser cut clear acrylic is combined with a bright LCD character display and some LEDs which create an effect not unlike a glowing magical block from your 90s platformer of choice. It’s combined with some slick capacitive buttons that avoid the need to drill holes for bulky traditional buttons. [kevtris] goes through the case design, showing how it all fits together with a combination of screws and standoffs. Being built out of a series of essentially 2D slices, the case is stacked up one layer at a time.

What really stands out about this project is the fit and finish. There’s plenty of microcontroller and FPGA projects out there that can hum out a tune, but the attention to detail paid to the case design and the neatly laid out PCB really add polish to a project like this. For a different take, why not check out this chiptune player built around a Raspberry Pi?

[Thanks Morris!]

How To Do PCB Art In Eagle

August 30, 2017 by 17 Comments

Last month I had the pleasure of creating a new piece of hardware for Tindie. [Jasmine], the queen bee of Tindie, and I designed, developed, and kitted three hundred Tindie badges in ten days leading up to DEF CON. The badges were a complete success, they introduced soldering to a lot of people, and were loved by all.

This badge was such a rousing success, it’s now official Tindie swag. We’ll be handing out a few of these blinky badges at upcoming events. But as of right now we’ve already handed out our entire stock, that means we need to build more. The second run meant ordering a thousand PCBs.

We could just do another run, and order a few more PCBs from the Gerbers I’ve already designed. I’m not really happy with the first version of this badge, though, and this is an opportunity to improve my design. This also gives me an opportunity to demonstrate my workflow for creating artistic boards in Eagle.

Effectively, what I’ll be demonstrating here is the creation of the Benchoff Nickel. A few months ago, [Andrew Sowa] took a portrait of yours truly, changed the colors to what is available on a normal OSHPark PCB, and turned that into different layers in KiCad. There are a few differences here. Firstly, I’ll be using a blue solder mask, although the same technique can be applied to green, red, yellow, white, or black soldermask. Secondly, this is Eagle, and I’m going to do the majority of the work with a BMP import. This is the fast and easy way to do things; if you want a KiCad tutorial, check out [Andrew]’s work, or my overly-involved multiple silkscreen process for KiCad. I don’t recommend this overly-involved process if you can help it. It took 20 hours to do the art for my previous project in KiCad, and I estimate it would have taken two in Eagle.

With that said, here’s the easy, cheap, and fast way of doing artistic boards in Eagle.

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Living In A Storage Locker Undetected For 2 Months

August 30, 2017 by 143 Comments

A Vancouver man [007craft], also known as [Michael], posted a video on YouTube about his living in a storage locker to save money for an apartment. The small space meant he had to incorporate quite a few little hacks to make living there comfortable.

While probably illegal and almost certainly against the storage locker’s terms of service, it seems you can live quite well in a storage locker if times get tough. [Michael] lived in a U-haul storage locker which cost him around $160 per month complete with bed, bar, living area and kitchen including running water. He goes on to explain how his first problem was electricity, which he had to obtain from an outlet quite a distance from his unit, To do this he just plugged in a large extension cord and cable tied it to the wall so it didn’t look too out-of-place, while for his water supply he used two water tanks, one each for waste and fresh water. Surprisingly he says he only needed to change them over around once a week from a water fountain. He did manage to live there undiscovered for 2 months by keeping out of sight as much as possible.

The video includes quite a few small hacks which try to make the most of the tiny space available and is well worth a watch even if you aren’t planning on living in a storage unit, so check it out below the break.

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Mouse Mis-Clicking? We Got You.

August 30, 2017 by 33 Comments

A mouse with malfunctioning buttons can be a frustrating to deal with — and usually a short leap to percussive maintenance. Standard fixes may not always last due to inferior build quality of the components, or when the microswitch won’t close at all. But, for mice that double/triple-click, will release when dragging, or mis-click on release, this Arduino-based hack may be the good medicine you’re after.

Instructables user [themoreyouknow]’s method cancels click malfunctions by latching the mouse’s controller switch trace to ‘on’ when pressed, keeping it there until the button normally closed contact closes again completely. Due to the confined spaces, you’ll want to use the smallest Arduino you can find, some insulating tape to prevent any shorts, and care to prevent damaging the wires this process adds to the mouse when you cram it all back together.

Before you take [themoreyouknow]’s guide as dogma, the are a few caveats to this hack; they are quick to point out that this won’t work on mice that share two pins between three buttons — without doing it the extra hard way, and that this might be trickier on gaming or other high-end mice, so attempt at your own peril.

Speaking of gaming mice, we recently featured a way to add some extra functionality to your mouse — cheating optional — as well as how to stash a PC inside an old Logitech model.

ESP8266 Adds Slick Touchscreen Controls To A Stretch Limo

August 29, 2017 by 5 Comments

The popularity of the ESP8266 WiFi module has a lot to do with its ability to inexpensively connect to the Internet. However, [hwhardsoft]’s stretch limousine environmental control system explores another use for these modules: a simple way to tie together disparate systems with a common user interface.

On a basic level, the problem is one we’ve all faced: multiple devices with multiple control interfaces create an awkward user experience. Have you ever worked in an office with 6 brands of air conditioner requiring 6 different remotes? Because of its low-cost, support for Wi-Fi, serial, and GPIO, ESP8266 boards are a reasonable candidate to create a unified control system for multiple devices. This is even more true for the ESP32, as it adds Bluetooth support.

[hwhardsoft]’s use case is fairly straightforward. The limousine (a Lincoln stretch) has multiple LED lighting controllers, climate control, and a laser projector. This was not exactly a smooth user experience, so [hwhardsoft] tied all the controls to two slick touchscreen interfaces (presumably one for the driver and one for the passengers).

Each touchscreen sends commands over Wi-Fi using UDP to a control board that switches relays to control the different devices, as we’ve seen previously.

While relays are arguably not the ideal solution here, these control boards already existed and were functional, so it would have been wasteful to throw them out. An easy improvement suitable for future projects would be to use NPN transistors to simulate button presses on the remote controls. This works quite well and lowers cost, power, and parts count, while being faster, more reliable, and quiet.

If you wanted to build something similar in your home or office, but want to use an Android smartphone instead of a touchscreen, the Kivy Python module allows you to do just that. It’s quite easy to set up a simple interface with buttons, dropdown lists, and text inputs that send data to an ESP8266 over UDP.

AI Watches You Sleep; Knows When You Dream

August 29, 2017 by 5 Comments

If you’ve never been a patient at a sleep laboratory, monitoring a person as they sleep is an involved process of wires, sensors, and discomfort. Seeking a better method, MIT researchers — led by [Dina Katabi] and in collaboration with Massachusetts General Hospital — have developed a device that can non-invasively identify the stages of sleep in a patient.

Approximately the size of a laptop and mounted on a wall near the patient, the device measures the minuscule changes in reflected low-power RF signals. The wireless signals are analyzed by a deep neural-network AI and predicts the various sleep stages — light, deep, and REM sleep — of the patient, negating the task of manually combing through the data. Despite the sensitivity of the device, it is able to filter out irrelevant motions and interference, focusing on the breathing and pulse of the patient.

What’s novel here isn’t so much the hardware as it is the processing methodology. The researchers use both convolutional and recurrent neural networks along with what they call an adversarial training regime:

Our training regime involves 3 players: the feature encoder (CNN-RNN), the sleep stage predictor, and the source discriminator. The encoder plays a cooperative game with the predictor to predict sleep stages, and a minimax game against the source discriminator. Our source discriminator deviates from the standard domain-adversarial discriminator in that it takes as input also the predicted distribution of sleep stages in addition to the encoded features. This dependence facilitates accounting for inherent correlations between stages and individuals, which cannot be removed without degrading the performance of the predictive task.

Anyone out there want to give this one a try at home? We’d love to see a HackRF and GNU Radio used to record RF data. The researchers compare the RF to WiFi so repurposing a 2.4 GHz radio to send out repeating uniformed transmissions is a good place to start. Dump it into TensorFlow and report back.

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