High-Altitude Ballooning Hack Chat

Join us on Wednesday at noon Pacific time for the high-altitude ballooning Hack Chat!

The Cope brothers are our hosts this week. Jeremy, a computer engineer, and Jason, a mechanical engineer, have recently caught the high-altitude ballooning (HAB) bug. In their initial flights they’ve racked up some successes and pushed the edge of space with interesting and varied missions. Their first flight just barely missed the 100,000 foot (30,000 meter) mark and carried a simple payload package of cameras and GPS instruments and allowed them to reach their goal of photographing the Earth’s curvature.

Flight 2 had a similar payload but managed to blow through the 100K foot altitude, capturing stunning video of the weather balloon breaking. Their most recent flight carried a more complex payload package, consisting of the usual camera and GPS but also a flight data recorder of their own devising, as well as a pair of particle detectors to measure the change in flux of subatomic particles with increasing altitude. That flight “only” reached 62,000 ft (19,000 meters) but managed to hitch a ride on the jet stream that nearly took the package out to sea.

The Cope brothers will be joining the Hack Chat to talk about the exciting field of DIY high-altitude ballooning and the challenges of getting a package halfway to space (depending on how that’s defined). Please join us as we discuss:

  • The basics of flight – balloons, rigging, payload protection, tracking, and recovery;
  • Getting started on the cheap;
  • Making a flight into a mission with interesting and innovative ideas for payload instrumentation;
  • Will hobbyist HABs ever break the Kármán Line? and
  • What’s in store for this year’s Global Space balloon Challenge?

You are, of course, encouraged to add your own questions to the discussion. You can do that by leaving a comment on the High-Altitude Ballooning Hack Chat event page and we’ll put that in the queue for the Hack Chat discussion.

 

Our Hack Chats are live community events on the Hackaday.io Hack Chat group messaging. This week we’ll be sitting down on Wednesday, February 6, at noon, Pacific time. If time zones have got you down, we have a handy time zone converter.

join-hack-chatClick 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 Wednesday; join whenever you want and you can see what the community is talking about.

3D-Printed Tourbillon Demo Keeps The Time With Style

It may only run for a brief time, and it’s too big for use in an actual wristwatch, but this 3D-printed tourbillon is a great demonstration of the lengths watchmakers will go to to keep mechanical timepieces accurate.

For those not familiar with tourbillons, [Kristina Panos] did a great overview of these mechanical marvels. Briefly, a tourbillon is a movement for a timepiece that aims to eliminate inaccuracy caused by gravity pulling on the mechanism unevenly. By spinning the entire escapement, the tourbillon averages out the effect of gravity and increases the movement’s accuracy. For [EB], the point of a 3D-printed tourbillon is mainly to demonstrate how they work, and to show off some pretty decent mechanical chops. Almost the entire mechanism is printed, with just a bearing being necessary to keep things moving; a pair of shafts can either be metal or fragments of filament. Even the mainspring is printed, which we always find to be a neat trick. And the video below shows it to be satisfyingly clicky.

[EB] has entered this tourbillon in the 3D Printed Gears, Pulleys, and Cams Contest that’s running now through February 19th. You’ve still got plenty of time to get your entries in. We can’t wait to see what everyone comes up with!

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FAA Proposes Refined Drone Regulations

The wheels of government move slowly, far slower than the pace at which modern technology is evolving. So it’s not uncommon for laws and regulations to significantly lag behind the technology they’re aimed at reigning in. This can lead to something of a “Wild West” situation, which could either be seen as a good or bad thing depending on what side of the fence you’re on.

In the United States, it’s fair to say that we’ve officially moved past the “Wild West” stage when it comes to drone regulations. Which is not to say that remotely controlled (RC) aircraft were unregulated previously, but that the rules which governed them simply couldn’t keep up with the rapid evolution of the technology we’ve seen over the last few years. The previous FAA regulations for remotely operated aircraft were written in an era where RC flights were lower and slower, and long before remote video technology moved the operator out of the line of sight of their craft.

To address the spike in not only the capability of RC aircraft but their popularity, the Federal Aviation Administration was finally given the authority to oversee what are officially known as Unmanned Aerial Systems (UAS) with the repeal of Section 336 in the FAA Reauthorization Act of 2018. Section 336, known as the “Special Rule for Model Aircraft” was previously put in place to ensure the FAA’s authority was limited to “real” aircraft, and that small hobby RC aircraft would not be subject to the same scrutiny as their full-size counterparts. With Section 336 gone, one could interpret the new FAA directives as holding manned and unmanned aircraft and their operators to the same standards; an unreasonable position that many in the hobby strongly rejected.

At the time, the FAA argued that the repealing Section 336 would allow them to create new UAS regulations from a position of strength. In other words, start with harsh limits and regulations, and begin to whittle them down until a balance is found that everyone is happy with. U.S. Secretary of Transportation Elaine L. Chao has revealed the first of these refined rules are being worked on, and while they aren’t yet official, it seems like the FAA is keeping to their word of trying to find a reasonable middle ground for hobby fliers.

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OpenISA Launches Free RISC-V VEGAboard

RISC architecture is gonna change everything, and I still can’t tell if we like that movie ironically or not. Nevertheless, RISC-V chips are coming onto the market, chipmakers seem really interested in not paying licensing fees, and new hard drives are shipping with RISC-V cores. The latest development in Open instruction sets chips comes from OpenISA. They’ve developed the VEGAboard, a dev board with two RISC-V chips and Arduino-style pin headers.

The VEGAboard comes loaded with an NXP chip which combines an ARM Cortex-M0 and Cortex-M4. So far, so good, but there are already dozens of boards that combine two ARM microcontrollers on a single development platform. The real trick is the RI5CY and Zero-RI5CY chips on the VEGAboard, a 4-stage RISC-V RV32IMCCXpulp CPU. This comes from the PULP platform, meant to be a small, low-power, but parallel platform for various processing needs. In short, with the VEGAboard, you’re not running a blink() sketch on the RISC-V microcontroller. You run the blink() sketch on the ARM microcontrollers, while using the RISC-V chip to read accelerometers and toggle pins. It’s a coprocessor, but it’s RISC-V.

Other features of the VEGAboard include 4MB of Flash, a light sensor, accelerometer, magnetometer, an RGB LED, OpenSDA serial debug adapter, an on-board BLE radio, and of course those wonky Arduino pin headers.

There are, or were, free VEGAboards available, but those are long gone. It’s still an interesting platform, though, and if you’d like to get your hands on one, production will resume shortly. Of course, if you need RISC-V right now, there are actual RISC-V Arduinos, a RISC-V with built-in neural networks, and SiFive will soon have a Linux-capable RISC-V multicore board. These are exciting times, and every day we’re seeing how RISC architecture is gonna change everything.

Sudo Find Me A Parking Space; Machine Learning Ends Circling The Block

If you live in a bustling city and have anyone over who drives, it can be difficult for them to find parking. Maybe you have an assigned space, but they’re resigned to circling the block with an eagle eye. With those friends in  mind, [Adam Geitgey] wrote a Python script that takes the video feed from a web cam and analyzes it frame by frame to figure out when a street parking space opens up. When the glorious moment arrives, he gets a text message via Twilio with a picture of the void.

It sounds complicated, but much of the work has already been done. Cars are a popular target for machine learning, so large data sets with cars already exist. [Adam] didn’t have to train a neural network, either–he found a pre-trained Mask R-CNN model with data for 80 common objects like people, animals, and cars.

The model gives a lot of useful info, including a bounding box for each car with pixel coordinates. Since the boxes overlap, there needs be a way to determine whether there’s really a car in the space, or just the bumpers of other cars. [Adam] used intersection over union to do this, which is conveniently available as a function of the Mask R-CNN model’s library. The function returns a score, so it was just a matter of ignoring low-scoring bounding boxes.

[Adam] purposely made the script adaptable. A few changes here and there, and you could be picking up tennis balls with a robotic collector or analyzing human migration patterns on your block in no time. Or change it up and detect all the cars that run the stop sign by your house.

Thanks for the tip, [foamyguy].