Scratch Built Watch Case Is A Work Of Art

October 19, 2017 by 33 Comments

The wristwatch was once an absolute necessity, as much fashion statement as it was a practical piece of equipment. Phones in our pockets (and more often than not, in our faces) replaced the necessity of the wristwatch for the majority of people, and the fashion half of the equation really only interests a relatively small  subset of the population. The end result is that, aside from the recent emergence of smartwatches and fitness trackers, walking down the street it’s fairly unlikely you’ll see many people wearing a traditional watch.

But we think the scratch built wristwatch case recently shown off by [Colin Merkel] adds a new justification for wearing a watch: pride. From a chunk of steel rod stock, [Colin] walks through every step of the process to creating a professional looking watch case. This is actually his second attempt at the project; while his first one certainly didn’t look bad, he felt that he learned enough from his earlier mistakes that it was worth starting over from scratch. A man after our own heart, to be sure. Continue reading “Scratch Built Watch Case Is A Work Of Art” →

Neural Network Gimbal Is Always Watching

October 10, 2017 by 16 Comments

[Gabriel] picked up a GoPro to document his adventures on the slopes and trails of Montreal, but quickly found he was better in front of the camera than behind it. Turns out he’s even better seated behind his workbench, as the completely custom auto-tracking gimbal he came up with is nothing short of a work of art.

There’s quite a bit going on here, and as you might expect, it took several iterations before [Gabriel] got all the parts working together. The rather GLaDOS-looking body of the gimbal is entirely 3D printed, and holds the motors, camera, and a collection of ultrasonic receivers. The Nvidia Jetson TX1 that does the computational heavy lifting is riding shotgun in its own swanky looking 3D printed enclosure, but [Gabriel] notes a future revision of the hardware should be able to reunite them.

In the current version of the system, the target wears an ultrasonic emitter that is picked up by the sensors in the gimbal. The rough position information provided by the ultrasonics is then refined by the neural network running on the Jetson TX1 so that the camera is always focused on the moving object. Right now the Jetson TX1 gets the video feed from the camera over WiFi, and commands the gimbal hardware over Bluetooth. Once the Jetson is inside the gimbal however, some of the hardware can likely be directly connected, and [Gabriel] says the ultrasonics may be deleted from the design completely in favor of tracking purely in software. He plans on open sourcing the project, but says he’s got some internal house keeping to do before he takes the wraps off it.

From bare bones to cushy luxury, scratch-built camera gimbals have become something of a right of passage for the photography hacker. But with this project, it looks like the bar got set just a bit higher.

Continue reading “Neural Network Gimbal Is Always Watching” →

Zenith’s New Watch Oscillator Is Making Waves

October 9, 2017 by 47 Comments

Swiss watchmaker Zenith has created what many mechanical watch fanatics are calling the biggest improvement to mechanical watch accuracy since the invention of the balance spring in 1675. The Caliber ZO 342 is a new type of harmonic oscillator that runs at 15 Hz, which is almost four times the speed of most watches. The coolest part? It’s fabricated out of silicon using Deep Reactive Ion Etching (DRIE), and it single-handedly replaces about 30 components.

Before explaining how Zenith’s oscillator works and why this is such exciting news, it’s important to understand why the balance spring and balance wheel were such a big step forward when they were the newest thing. The system was invented by [Christiaan Huygens], a Dutch mathematician and scientist. [Huygens] had previously invented the pendulum clock, which is widely accepted as the first precision timepiece.

Continue reading “Zenith’s New Watch Oscillator Is Making Waves” →

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.

Continue reading “AI Watches You Sleep; Knows When You Dream” →

The Tourbillon: Anti-Gravity For Watch Movements

August 28, 2017 by 33 Comments

Do you know what time it is? Chances are good that you used a computer or a cell phone to answer that question. The time on your phone is about as accurate as chronometry gets these days. That’s because cell networks are timed from satellites, which are in turn timed from atomic clocks. And these days, it may be that atomic clocks are the only clocks that matter.

Before this modern era of quartz and atomic accuracy, though, timepieces were mechanical. Clocks were driven by heavy weights that made them impractical for travel. It wasn’t until the mainspring-driven movement came along that timekeeping could even begin to become portable.

But while the invention of the mainspring made portable timepieces possible, it hurt their accuracy. That’s because the driving force of a tightly wound spring isn’t constant like that of an inert, solid weight.  So pocket watches weren’t exactly an overnight success. Early pieces were largely ornamental, and only told the hour. Worst of all, they would slow down throughout the day as the mainspring unwound, becoming useless unless wound several times a day. The mainspring wasn’t the only problem plaguing pocket watches, but it was the among the most obvious.

Continue reading “The Tourbillon: Anti-Gravity For Watch Movements” →

Wooden Word Wristwatch Wows Woomies

August 25, 2017 by 25 Comments

[HakuG] wanted to make a watch for his roommates, and had a design project due. He killed two birds with one stone, and then some. The result is a classic word clock, but with a refined all-wood look that’s also small enough to wear on your wrist.

Nothing good ever comes out right the first time, and the log of [HakuG]’s different versions is full of different attempts, all of them just fine in their own right, but none of them “perfect”. Kudos to [HakuG] for sticking with it and refining the project far past the initial prototype stage to something that really looks like a finished product.

Of course we’ve covered word clocks before. Heck, we’ve even seen a beautiful wooden one. But we’re pretty sure that this is the first wooden word-clock watch we’ve ever written up, and it’s surely one of the nicest.

Thanks [Paul Hein] for the link!

Don’t Miss Watching This Solar Eclipse High Altitude Balloon Online

August 20, 2017 by 8 Comments

[Dan Julio] let us know about an exciting project that he and his team are working on at the Solid State Depot Makerspace in Boulder: the Solar Eclipse High Altitude Balloon. Weighing in at 1 kg and bristling with a variety of cameras, the balloon aims to catch whatever images are able to be had during the solar eclipse. The balloon’s position should be trackable on the web during its flight, and some downloaded images should be available as well. Links for all of that are available from the project’s page.

High altitude balloons are getting more common as a platform for gathering data and doing experiments; an embedded data recorder for balloons was even an entry for the 2016 Hackaday Prize.

If all goes well and the balloon is able to be recovered, better images and video will follow. If not, then at least a post-mortem of what the team thinks went wrong will be posted. Launch time in Wyoming is approximately 10:40 am Mountain Time (UTC -07:00) Mountain Daylight Time (UTC -06:00) on Aug 21 2017, so set your alarm!