The ware for October 2020 is shown below.
I was desoldering this from a board, and surprisingly, the case just melted off revealing this. I thought it was pretty neat to see what was inside!
The ware for September 2020 is a board from a CM-1. Thanks again to David Gingold for the great photo, and congrats to Brian for precisely naming it. Email me for your prize! (Roland, you were so close!)
As an open-source project, Arduino has always considered security a top priority: making tools and products easy to use for our community has consistently been as important as making them secure.
Today, we are excited to announce that Arduino has joined the Open Source Security Foundation (OpenSFF), the collaborative cross-industry effort to secure the open-source ecosystem.
Hosted at the Linux Foundation, the OpenSFF brings together the efforts of the Core Infrastructure Initiative (CII) and GitHub’s Open Source Security Coalition and is committed to working both upstream and with existing communities to advance the security of open-source software. The foundation will initially include technical initiatives and working groups that will address vulnerability disclosures, security tooling, security best practices, and the identification of security threats to the open-source project.
Arduino is proud to become a member of the OpenSFF alongside GitHub, Google, IBM, Facebook, Red Hat, Facebook, Huawei Technologies, and Samsung. Arduino’s membership to the OpenSFF is also part of the Arduino Donation Program, our philanthropic initiative to fund projects and institutions that can make the difference for the worldwide open-source community.
“Our aim is to make complex technologies simple to use for everyday people and security out of the box is part of the user experience we strive for. We believe that working with skilled security experts and industries across the globe is crucial in identifying security weaknesses and vulnerabilities, “said Arduino co-founder Massimo Banzi. “We are excited to join the Open Source Security Foundation and we look forward to collaborating with other members to improve the security of any open-source ecosystem.”
It has been a busy couple of weeks for us here at SparkFun. Last week we released the MicroMod line, which allows you easily swap out a variety of processors into function-specific carrier boards. This week we announced À La Carte (ALC), SparkFun's custom printed circuit board production service! We went into some detail about ALC on Wednesday, but we're excited so we're going to talk about it again, as well as a new SparkX product!
SparkFun has been designing boards for more than a decade, and we're the source for the latest and greatest technologies. We've taken all that knowledge built a platform that turns components and modules into easy-to-choose blocks. SparkFun À La Carte allows you to create custom boards by selecting only the blocks you want to use and adding them to your board. Whether you're a test engineer building 15 test fixtures or a Burning Man artist needing 47 light-activated servo controllers, ALC is there to bridge the gap between prototype and production.
Interested in trying ALC? We’re offering 50% off the design fee on all new orders through 11:59 p.m. on 12/31/2020 with promo code: ALCSPARKFUN50
Ever need to fine tune an oscillator circuit or RF filter? It can be tricky and repetitive switching out capacitors on a PCB. SparkX's Qwiic Digital Capacitor, complete with the NCD2400M IC, can be a great solution. Solder the nibs onto any 0603 or 0402 footprint, plug in a Qwiic cable and RedBoard, and change the capacitance in code.
How do you create a 3D model of a historic graveyard? With eight Raspberry Pi computers, as Rob Zwetsloot discovers in the latest issue of The MagPi magazine, out now.
“In the city centre of Dundee is a historical burial ground, The Howff,” says Daniel Muirhead. We should probably clarify that he’s a 3D artist. “This old graveyard is densely packed with around 1500 gravestones and other funerary monuments, which happens to make it an excellent technical challenge for photogrammetry photo capture.”
This architecture, stone paths, and vibrant flora is why Daniel ended up creating a 3D-scanning rig out of eight Raspberry Pi computers. And the results are quite stunning.
“The goal of this project was to capture photos for use in generating a 3D model of the ground,” he continues. “That model will be used as a base for attaching individual gravestone models and eventually building up a full composite model of this complex subject. The ground model will also be purposed for rendering an ultra-high-resolution map of the graveyard. The historical graveyard has a very active community group that are engaged in its study and digitisation, the Dundee Howff Conservation Group, so I will be sharing my digital outputs with them.”
To move the rig throughout the graveyard, Daniel used himself as the major moving part. With the eight Raspberry Pi cameras taking a photo every two seconds, he was able to capture over 180,000 photos over 13 hours of capture sessions.
“The rig was held above my head and the cameras were angled in such a way as to occlude me from view, so I was not captured in the photographs which instead were focused on the ground,” he explains. “Of the eight cameras, four were the regular model with 53.5 ° horizontal field of view (FoV), and the other four were a wide-angle model with 120 ° FoV. These were arranged on the rig pointing outwards in eight different directions, alternating regular and wide-angle, all angled at a similar pitch down towards the ground. During capture, the rig was rotated by +45 ° for every second position, so that the wide-angles were facing where the regulars had been facing on the previous capture, and vice versa.”
Daniel worked according to a very specific grid pattern, staying in one spot for five seconds at a time, with the hopes that at the end he’d have every patch of ground photographed from 16 different positions and angles.
“With a lot of photo data to scan through for something fairly complex, we wondered how well the system had worked. Daniel tells us the only problems he had were with some bug fixing on his code: “The images were separated into batches of around 10,000 (1250 photos from each of the eight cameras), plugged into the photogrammetry software, and the software had no problem in reconstructing the ground as a 3D model.”
He’s now working towards making it accessible and low-cost to others that might want it. “Low-cost in the triple sense of financial, labour, and time,” he clarifies. “I have logged around 8000 hours in a variety of photogrammetry softwares, in the process capturing over 300,000 photos with a regular camera for use in such files, so I have some experience in this area.”
“With the current state of technology, it should be possible with around £1000 in equipment to perform a terrestrial photo-survey of a town centre in under an hour, then with a combined total of maybe three hours’ manual processing and 20 hours’ automated computer processing, generate a high-quality 3D model, the total production time being under 24 hours. It should be entirely plausible for a local community group to use such a method to perform weekly (or at least monthly) 3D snapshots of their town centre.”
You can also download the PDF directly from the MagPi magazine website.
Sensor deployment via unmanned aerial vehicles is an interesting concept. Up until now, you’ve had two options: use a drone that drops sensors onto the ground, or one with some kind of manipulator to stick them in particular place. However, researchers at Imperial College London have been studying a third approach, which shoots sensor pods from an aerial platform like darts.
The system utilizes a compressed spring, along with a shape-memory alloy (SMA) trigger to fling the sensor pods at a nearby surface, at up to a four-meter range. The actual sensor package used here is an Arduino Nano 33 BLE Sense, allowing for a variety of measurements without extra hardware in hazardous environments or inaccessible locations.
Several methods of attachment were proposed, including magnets and chemical bonding, but the experiment’s research paper focuses on dart-like wood attachment, since this would require the most force.
More details on the project can be found on IEEE Spectrum and in the video below.