Hackaday Remoticon: Our 2020 Conference Is Packed With Workshops And We’re Calling For Proposals

August 4, 2020 by Mike Szczys 13 Comments

We’re proud to announce the Hackaday Remoticon, taking place everywhere November 6th – 8th, 2020. It’s a weekend packed with workshops about hardware creation, held virtually for all to enjoy.

Update: Tickets are now available for 2020 Remoticon!

But we can’t do it without you. We need you to host a workshop on that skill, technique, or special know-how that you acquired through hard work over too many hours to count. Send in your workshop proposal now!

What is a Remoticon?

The Hackaday Remoticon achieves something that we just couldn’t do at the Hackaday Superconference: host more workshops that involve more people. Anyone who’s been to Supercon over the past six years can tell you it’s space-limited and, although we do our best to host a handful of workshops each day, those available seats are always in high demand.

We’re sad that we can’t get together in person for Supercon this year, but now we have an opportunity to host more workshops, engaging more live instructors and participants because they will be held virtually. This also means that we can make recordings of them available so that more people can learn from the experience. This is something that we tried way back during the first Supercon with Mike Ossmann’s RF Circuit Design workshop and 140,000 people have watched that video. (By the way, that link is worth clicking just to see Joe Kim’s excellent art.) Continue reading “Hackaday Remoticon: Our 2020 Conference Is Packed With Workshops And We’re Calling For Proposals” →

Don’t Let Endianness Flip You Around

August 4, 2020 by Maya Posch 26 Comments

Most of the processor architectures which we come into contact with today are little-endian systems, meaning that they store and address bytes in a least-significant byte (LSB) order. Unlike in the past, when big-endian architectures, including the Motorola 68000 and PowerPC, were more common, one can often just assume that all of the binary data one reads from files and via communication protocols are in little-endian order. This will often work fine.

The problem comes with for example image formats that use big-endian formatted integers, including TIFF and PNG. When dealing directly with protocols in so-called ‘network order’, one also deals with big-endian data. Trying to use these formats and protocol data verbatim on a little-endian system will obviously not work.

Fortunately, it is very easy to swap the endianness of any data which we handle. Continue reading “Don’t Let Endianness Flip You Around” →

[NileRed] Makes Superconductors

August 4, 2020 by Al Williams 8 Comments

We always enjoy [NileRed’s] videos. His latest shows how he made some relatively high-temperature superconducting ceramic. After finding what appeared to be some really good instructions on the Internet, [NileRed] found there were some things in the paper that didn’t make sense. You can watch the video, below.

The superconductor was YBCO, sometimes known as 123 because of the ratio of its components. Turns out that most of the materials were available online, except for one exotic chemical that he had to buy from a more conventional source.

Continue reading “[NileRed] Makes Superconductors” →

Facial Detection With Pi + MATLAB

August 4, 2020 by Orlando Hoilett 2 Comments

[Monica] wanted to try a bit of facial detection with her Raspberry Pi and she found some pretty handy packages in MATLAB to help her do just that. The packages are based on the Viola-Jones algorithm which was the first real-time object detection framework for facial detection.

She had to download MATLAB’s Raspbian image to allow the Pi to interpret MATLAB commands over a custom server. That setup is mostly pretty easy and she does a good job walking you through the setup on her project page.

With that, now she can control the Pi in MATLAB: configure the camera, toggle GPIO, etc. The real fun comes with the facial detection program. In addition to opening up a live video feed of the Pi camera, the program outputs pixel data. [Monica] was mostly just testing the stock capabilities, but wants to try detecting other objects next. We’ll see what cool modifications she’s able to come up with.

If MATLAB doesn’t quite fit your taste, we have a slew of facial detection projects on Hackaday.