Autodrop3D Continues Working At 3D Printer Automation

It is an unfortunate fact that 3D printers spend most of their time sitting idle, waiting for a human to remove finished prints or waiting for the next print to start. Hackers see such inefficiency as an open invitation to devise a better way, and we’ve seen several innovative ideas come across these pages. Some have since been abandoned, but others have kept going. At Maker Faire Bay Area 2019 we had the chance to revisit one presented as Autodrop3D.

We saw a much earlier iteration entered in our Hackaday Prize in 2017 and it was fascinating to see how the basic ideas have developed over the past few years. The most visible component of the system is their print ejection system, which has greatly improved in robustness. Because the mechanism modifies the print bed and adds significant mass, it is best suited to delta printers as their print bed remains static. The concept might be adaptable to printers where the print bed only has to move along Z axis, but for now the team stays focused on deltas. There were two implementations on display at Maker Faire: a large one built on a SeeMeCNC RostockMAX v4, and a small one built on a Monoprice Mini Delta.

The ejection system is novel enough by itself, but the hardware is only one part of the end-to-end Autodrop3D vision. Their full software pipeline starts with web-based CAD, to integrated slicing, to print queue management, before G-code is fed to a printer equipped with their ejection system.

We admire inventors who keep working away at turning their vision to reality, and we look forward to seeing what’s new the next time we meet this team. In the meantime, if you like the idea of an automated print ejection mechanism but want more cartoon style, look at this invention from MatterHackers.

Automate The Freight: Amazon’s Robotic Packaging Lines

In the “Automate the Freight” series, I’ve concentrated on stories that reflect my premise that the killer app for self-driving vehicles will not be private passenger cars, but will more likely be the mundane but necessary task of toting things from place to place. The economics of replacing thousands of salary-drawing and benefit-requiring humans in the logistics chain are greatly favored compared to the profits to be made by providing a convenient and safe commuting experience to individuals. Advances made in automating deliveries will eventually trickle down to the consumer market, but it’ll be the freight carriers that drive innovation.

While I’ve concentrated on self-driving freight vehicles, there are other aspects to automating the supply chain that I’ve touched on in this series, from UAV-delivered blood and medical supplies to the potential for automating the last hundred feet of home delivery with curb-to-door robots. But automation of the other end of the supply chain holds a lot of promise too, both for advancing technology and disrupting the entire logistics field. This time around: automated packaging lines, or how the stuff you buy online gets picked and wrapped for shipping without ever being touched by human hands.

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Wandel Weaponizes Waste With Lego And A Raspberry Pi

Before 3D printers, there was LEGO. And the little bricks are still useful for putting something together on the quick. Proof is YouTuber [Matthias Wandel]’s awesome bottle cap shooter build that uses rudimentary DIY computer vision to track you and then launch a barrage of plastic pieces at you.

This is an amazing project that has a bit of something for everyone. Lets start with the LEGO. [Matthias Wandel] starts with making a crossbow designed launcher and does an awesome job with showing us how it works in a video. The mechanism is an auto reloading and firing system that can be connected to a stepper motor. Next comes the pan and tilt mechanism which allows the turret to take better aim at moving targets: more LEGO and stepper motors.

The target tracker uses color matching in a program that curiously uses no OpenCV. It compares consecutive frame and then filters out red objects – the largest red dot is it. Since using a fisheye lens on the Raspbery Pi camera adds distortion, [Matthias Wandel] uses a jig made with more Legos to calibrate the image.

The final testing involved having his own child walk around the room being hunted but the autonomous machine. Kids do love toys even if they are trying to shoot bottle caps at them.

Want more Lego inspiration? Check out the Lego Quadcopter Mod and the Lego Tank with the ESP8266.

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Automated Cat Feeder Handles Wet Food With Aplomb

A feline’s appetite is rarely sated, and cat owners around the world are routinely treated to an early morning wake up call to remind them of this fact. To solve this problem, many turn to automated feeders. However, such devices usually handle only dry foods, with a simple hopper system. [Vikram Hao] instead went above and beyond, building a fully automated wet food cat feeder.

The device is a great example of effective automation. It’s fully capable of dispensing a single can of cat food, as well as opening the can, serving the food and disposing of the waste in an integrated bin. Currently, it has a maximum capacity of 9 cans, though this can be increased by simple alterations to the hopper and trash bin. Unsurprisingly, all manner of steppers, servos and brushed motors work in concert to achieve this feat. An Arduino Mega 2560 serves as the brains, providing plenty of IO to run everything as easily as possible.

[Vikram] reports that both the owner and the cat are overjoyed with the invention. We’ve seen a few builds before, with some even featuring armor plating. Video after the break.

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Robot Telephone Operator Handles Social Media For You

Social media has become pervasive in modern life. It can be impossible to get so much as an invite to a party without offering up your personal data at the altar of the various tech companies. [David] wanted to avoid the pressures of seeing countless photos of people climbing mountains and eating tacos, but also didn’t want to ostracize himself by avoiding social media altogether. Naturally, automation was the answer.

[David] aptly named his robot Telephone Operator, and that’s precisely what it does. Stepper motors and a servo allow the robot’s capacitive appendage to interact with the touch screen on [David]’s iPhone. A camera is fitted, and combined with OpenCV, the robot is capable of a great many important tasks.

Liking Instagram posts? Done. Reposting inane tweets? Easy. Asking your pal Mike what’s up? Yep, Telephone Operator has it covered. Given the low quality of human interaction on such platforms, it’s entirely possible [David] has the Turing Test beat without even trying. The robot even has that lazy continuous Sunday morning scroll down pat. It’s spooky stuff.

Of course, if you’re too in love with social media to trust an automaton, you might instead prefer to wear your likes on your sleeve. Video after the break.

[Thanks to dechemist for the tip!]

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Hacker Abroad: Massive Conference Brings Big News Of Hackaday Prize China

My first full day in China was spent at Electronica, an absolutely massive conference showcasing companies involved in electronics manufacturing and distribution. It’s difficult to comprehend how large this event is, filling multiple halls at the New International Expo Center in Shanghai.

I’ve seen the equipment used for PCB assembly many times before. But at this show you get to see another level below that, machines that build components and other items needed to build products quickly and with great automation. There was also big news today as the 2019 Hackaday Prize China was launched. Join me after the break for a look at this equipment, and more about this new development for the Hackaday Prize.

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MCAS And The 737: When Small Changes Have Huge Consequences

When the first 737 MAX entered service in May of 2017, it was considered a major milestone for Boeing. For nearly a decade, the aerospace giant had been working on a more fuel efficient iteration of the classic 737 that first took to the skies in 1967. Powered by cutting-edge CFM International LEAP engines, and sporting modern aerodynamic improvements such as unique split wingtips, Boeing built the new 737 to have an operating cost that was competitive with the latest designs from Airbus. With over 5,000 orders placed between the different 737 MAX variants, the aircraft was an instant success.

But now, in response to a pair of accidents which claimed 346 lives, the entire Boeing 737 MAX global fleet is grounded. While the investigations into these tragedies are still ongoing, the preliminary findings are too similar to ignore. In both cases, it appears the aircraft put itself into a dive despite the efforts of the crew to maintain altitude. While the Federal Aviation Administration initially hesitated to suspend operations of the Boeing 737 MAX, they eventually agreed with government regulatory bodies all over the world to call for a temporary ban on operating the planes until the cause of these accidents can be identified and resolved.

For their part, Boeing maintains their aircraft is safe. They say that grounding the fleet was done out of an “abundance of caution”, rather than in direct response to a particular deficiency of the aircraft:

Boeing continues to have full confidence in the safety of the 737 MAX.  However, after consultation with the U.S. Federal Aviation Administration (FAA), the U.S. National Transportation Safety Board (NTSB), and aviation authorities and its customers around the world, Boeing has determined — out of an abundance of caution and in order to reassure the flying public of the aircraft’s safety — to recommend to the FAA the temporary suspension of operations of the entire global fleet of 371 737 MAX aircraft.

Until both accident investigations are completed, nobody can say with complete certainty what caused the loss of the aircraft and their passengers. But with the available information about what changes were made during the 737 redesign, along with Boeing’s own recommendations to operators, industry insiders have started to point towards a fault in the plane’s new Maneuvering Characteristics Augmentation System (MCAS) as a likely culprit in both accidents.

Despite the billions of dollars spent developing these incredibly complex aircraft, and the exceptionally stringent standards their operation is held to, there’s now a strong indication that the Boeing 737 MAX could be plagued with two common issues that we’ve likely all experienced in the past: a software glitch and poor documentation.

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