Third Time’s A Charm For This Basketball-Catching Robot

September 9, 2020 by Dan Maloney 20 Comments

We all know that version one of a project is usually a stinker, at least in retrospect. Sure, it gets the basic idea into concrete form, but all it really does is set the stage for a version two. That’s better, but still not quite there. Version three is where the magic all comes together.

At least that’s how things transpired on [Shane Wighton]’s quest to build the perfect basketball robot. His first version was a passive backboard that redirected incoming shots based on its paraboloid shape. As cool as the math was that determined the board’s shape, it conspicuously lacked any complicated systems like motors and machine vision — you know, the fun stuff. Version two had all these elaborations and grabbed off-target shots a lot better, but still, it had a limited working envelope.

Enter version three, seen in action in the video below. Taking a page from [Mark Rober]’s playbook, [Shane] built a wickedly overengineered CoreXY-style robot to cover his shop wall. Everything was built with the lightest possible materials to keep inertia to a minimum and ensure the target ends up in the right place as quickly as possible. [Shane] even figured out how to mount the motor that tilts the backboard on the frame rather than to the carriage. A Kinect does depth-detection duty on the incoming ball — or the builder’s head — and drains pretty much every shot it can reach.

[Shane] has been doing some great work automating away the jobs of pro athletes. In addition to basketball, he has tackled both golf and baseball, bringing explosive power to each. We’re looking forward to versions two and three on both of those builds as well.

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Quadcopter With Stereo Vision

June 30, 2020 by Bryan Cockfield 5 Comments

Flying a quadcopter or other drone can be pretty exciting, especially when using the video signal to do the flying. It’s almost like a real-life video game or flight simulator in a way, except the aircraft is physically real. To bring this experience even closer to the reality of flying, [Kevin] implemented stereo vision on his quadcopter which also adds an impressive amount of functionality to his drone.

While he doesn’t use this particular setup for drone racing or virtual reality, there are some other interesting things that [Kevin] is able to do with it. The cameras, both ESP32 camera modules, can make use of their combined stereo vision capability to determine distances to objects. By leveraging cloud computing services from Amazon to offload some of the processing demands, the quadcopter is able to recognize faces and keep the drone flying at a fixed distance from that face without needing power-hungry computing onboard.

There are a lot of other abilities that this drone unlocks by offloading its resource-hungry tasks to the cloud. It can be flown by using a smartphone or tablet, and has its own web client where its user can observe the facial recognition being performed. Presumably it wouldn’t be too difficult to use this drone for other tasks where having stereoscopic vision is a requirement.

Thanks to [Ilya Mikhelson], a professor at Northwestern University, for this tip about a student’s project.

Custom Firmware Makes A LoRA-Enabled HAB Tracker Watch

May 6, 2020 by Donald Papp 4 Comments

High Altitude Balloons (HAB) are a great way to get all kinds of data and shoot great photos and video, but what goes up must come down. Once the equipment has landed, one must track it down. GPS and LoRA, with its long wireless range and ease of use, are invaluable tools in tracking payloads that have returned to Earth. [Dave Akerman] has made handheld receivers to guide him to payloads, but wanted something even smaller; ideally something that could be worn on the wrist.

One day he came across the affordable LilyGo T-Watch which includes GPS and LoRA functionality, and he started getting ideas. The watch has the features, but the stock firmware didn’t measure up. Not to be deterred, [Dave] wrote new firmware to turn the device into a wrist-worn GPS and LoRA chase watch.

Not only is the new firmware functional, but it’s got a wonderful user interface. GitHub repository for the new firmware is here, and you can see the UI in action in the brief video embedded below.

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The Heat Of The Moments – Location Visualization In Python

December 5, 2019 by Sven Gregori 7 Comments

Have you ever taken a look at all the information that Google has collected about you over all these years? That is, of course, assuming you have a Google account, but that’s quite a given if you own an Android device and have privacy concerns overruled by convenience. And considering that GPS is a pretty standard smartphone feature nowadays, you shouldn’t be surprised that your entire location history is very likely part of the collected data as well. So unless you opted out from an everchanging settings labyrinth in the past, it’s too late now, that data exists — period. Well, we might as well use it for our own benefit then and visualize what we’ve got there.

Location data naturally screams for maps as visualization method, and [luka1199] thought what would be better than an interactive Geo Heatmap written in Python, showing all the hotspots of your life. Built around the Folium library, the script reads the JSON dump of your location history that you can request from Google’s Takeout service, and overlays the resulting heatmap on the OpenStreetMap world map, ready for you to explore in your browser. Being Python, that’s pretty much all there is, which makes [Luka]’s script also a good starting point to play around with Folium and map visualization yourself.

While simply just looking at the map and remembering the places your life has taken you to can be fun on its own, you might also realize some time optimization potential in alternative route plannings, or use it to turn your last road trip route into an art piece. Just, whatever you do, be careful that you don’t accidentally leak the location of some secret military facilities.

[via r/dataisbeautiful]

SatNOGS Update Hack Chat

October 28, 2019 by Dan Maloney 3 Comments

Join us on Wednesday, October 30 at noon Pacific for the SatNOGS Update Hack Chat with Pierros Papadeas and the SatNOGS team!

Ever since the early days of the Space Race, people have been fascinated with satellites. And rightly so; the artificial moons we’ve sent into orbit are engineering marvels, built to do a difficult job while withstanding an incredibly harsh environment. But while most people are content to just know that satellites are up there providing weather forecasts and digital television, some of us want a little more.

Enter SatNOGS. Since winning the very first Hackaday Prize in 2014, SatNOGS has grown into exactly what Pierros Papadeas and the rest of the team envisioned: a globe-spanning network of open-source satellite ground stations, feeding continuous observations into an open, accessible database. With extensive documentation and an active community, SatNOGS has helped hundreds of users build ground stations with steerable antennas and get them connected. The network tracks hundreds of Low-Earth Orbit (LEO) satellites each day, including increasingly popular low-cost Cubesats.

Join us as the SatNOGS crew stops by the Hack Chat to give us an update on their efforts over the last few years. We’ll discuss how winning the Hackaday Prize changed SatNOGS, how the constellation of satellites has changed and how SatNOGS is dealing with it, and what it takes to build a global network and the community that makes it work.

Our Hack Chats are live community events in the Hackaday.io Hack Chat group messaging. This week we’ll be sitting down on Wednesday, October 30 at 12:00 PM Pacific time. If time zones have got you down, we have a handy time zone 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 Wednesday; join whenever you want and you can see what the community is talking about.

Keep Pesky Cats At Bay With A Machine-Learning Turret Gun

July 12, 2019 by Dan Maloney 32 Comments

It doesn’t take long after getting a cat in your life to learn who’s really in charge. Cats do pretty much what they want to do, when they want to do it, and for exactly as long as it suits them. Any correlation with your wants and needs is strictly coincidental, and subject to change without notice, because cats.

[Alvaro Ferrán Cifuentes] almost learned this the hard way, when his cat developed a habit of exploring the countertops in his kitchen and nearly turned on the cooktop while he was away. To modulate this behavior, [Alvaro] built this AI Nerf turret gun. The business end of the system is just a gun mounted on a pan-tilt base made from 3D-printed parts and a pair of hobby servos. A webcam rides atop the gun and feeds into a PC running software that implements the YOLO3 localization algorithm. The program finds the cat, tracks its centroid, and swivels the gun to match it. If the cat stays in the no-go zone above the countertop for three seconds, he gets a dart in his general direction. [Alvaro] found that the noise of the gun tracking him was enough to send the cat scampering, proving that cats are capable of learning as long as it suits them.

We like this build and appreciate any attempt to bring order to the chaos a cat can bring to a household. It also puts us in mind of [Matthias Wandel]’s recent attempt to keep warm in his shop, although his detection algorithm was much simpler.

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Motion Tracking Face Really Does Follow You Around The Room

June 4, 2019 by Lewin Day 15 Comments

Many of us have had the experience of viewing an artwork in a gallery, in which the eyes appear to follow one around the room. In our high-technology work, this no longer need be achieved with artistic skill. You can just build something that actually moves instead.

Chartreuse is the creation of [alynton], and has a personality all its own. A face was created out of laser cut wood, and assembled layer by layer. It was then given glowing LED eyes, and mounted on a rotating plate. Combined with an Arduino and an ultrasonic sensor, it’s capable of tracking targets moving within its field of view, and rotating to follow them. Chartreuse’s expression changes as well, with from happy to forlorn, depending on the situation.

It’s a great example of the artistic results that can be achieved by layering lasercut materials, as well as how art can be brought to life with simple maker staples like servos and microcontrollers. Motion tracking has plenty of useful applications, too – like aiming heat directly at cold humans. Video after the break.

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