Growing your own food is a fun hobby and generally as rewarding as people say it is. However, it does have its quirks and it definitely equires quite the time input. That’s why it was so satisfying to watch Farmbot push a weed underground. Take that!

Farmbot is a project that has been going on for a few years now, it was a semifinalist in the Hackaday Prize 2014, and that development time shows in the project documented on their website. The robot can plant, water, analyze, and weed a garden filled with arbitrarily chosen plant life. It’s low power and low maintenance. On top of that, every single bit is documented on their website. It’s really well done and thorough. They are gearing up to sell kits, but if you want it now; just do it yourself.

The bot itself is exactly what you’d expect if you were to pick out the cheapest most accessible way to build a robot: aluminum extrusions, plate metal, and 3D printer parts make up the frame. The brain is a Raspberry Pi hooked to its regular companion, an Arduino. On top of all this is a fairly comprehensive software stack.

The user can lay out the garden graphically. They can get as macro or micro as they’d like about the routines the robot uses. The robot will happily come to life in intervals and manage a garden. They hope that by selling kits they’ll interest a whole slew of hackers who can contribute back to the problem of small scale robotic farming.

Not only can asthma be difficult to diagnose, it can be fatal if left undetected. As a result, many kids are over-diagnosed with the disease, especially those under five, and over-treated with inhalers which leads to reduced growth and immunity. At just age nine, Arnav Sharma discovered that the best way to manage asthma is to prevent attacks by understanding their triggers and following a treatment plan. His solution? The AsthmaPi kit.

Sharma’s inexpensive device consists of an Arduino Uno, a Raspberry Pi, a Sense HAT, a MQ-135 gas sensor and a Sharp optical dust sensor. Intended for parents of children suffering from asthma and those not sure about the diagnosis, the kit sends emails and text message reminders to take their medication and to visit their physician.

The sensors track and collect data about the current temperature, humidity, dust levels and the presence of hazardous gases, all of which can be used to better understand an individual’s triggers and to avoid severe attacks. It will also enable children and their parents with better self-management of asthma.

Although the kit was developed particularly with children in mind, it can be just as helpful for adults as well. With an idea this incredible from a nine-year-old, it’s no wonder he was the recipient of this year’s Tech4Good People’s Choice and Winner of Winners awards.

Inspired by a project he found over on Instructables, Maker JoEtuuube has created an Arduino-based waveform generator using an 8-bit resistor ladder DAC that can precisely produce different common waveforms at frequencies between 1Hz and 20Khz in sine-wave, sawtooth, triangle and various ratios of square wave. It features a speaker and a small LCD display.

A neat thing about the LCD is that it’s actually a reverse-engineered display from a cheap pocket calculator. With his hack, JoEtuuube no longer punches each digit in directly; instead, he only taps the clear, +, = and 1 keys. He can then enter arbitrary numbers by typing in the right number of ones and adding them up. For example, 345 = 111 + 111 + 111 + 11 + 1.

The generator itself uses an Arduino Uno and runs off a 9V battery. In the video below, JoEtuuube provides a detailed walkthrough of the firmware and how everything works. You can also read more about it on Hackaday.

If you’ve ever seen a TV commercial for any fast-food chain, then chances are you’re familiar with the burger drop shot–you know, that scene where ingredients like lettuce, tomatoes, onions, bacon, beef patties and sesame seed buns fall from above and then stack themselves upon landing. Well, photographer/Maker Steve Giralt wanted to try capturing a shot like this on his own without the use of CGI or an expensive post-production process.

To accomplish this, Giralt created a rig with an Arduino-based timing control system (named P.A.T.R.I.C) that triggers the camera motion, as well as the drop of the burger’s ingredients so that everything falls perfectly. 

As he explains:

The final video is a synchronized work of art. In the half second of real time, multiple Arduino controlled servo motors with custom 3D printed scalpel blades cut through elastic bands holding up the top bun, pickles, onions, lettuce, tomato, bacon, meat, and lower bun while a 3D printed air powered catapult launched ketchup and mustard blobs into each other.

This all happened while the Phantom camera was moving down on the motion control robot arm at high speed, adjusting focus, as it raced the ingredients and gravity down to the landing.

When we got a perfect landing of the burger, I had a hand model slam down a freshly poured beer down next to the burger to finish off the shot. It was so much fun!

You can read all about the build here, and get a behind-the-scenes look in the video below!

(Photos: PetaPixel)

As we’ve mentioned previously, the integrity of your vehicle in an era where even your car can have a data connection could be a dubious bet at best. Speaking to these concerns, a soon-to-be published paper out of the University of Birmingham in the UK, states that virtually every Volkswagen sold since 1995 can be hacked and unlocked by cloning the vehicle’s keyfob via an Arduino and software defined radio (SDR).

The research team, led by [Flavio Garcia], have described two main vulnerabilities: the first requires combining a cyrptographic key from the vehicle with the signal from the owner’s fob to grant access, while the second takes advantage of the virtually ancient HiTag2 security system that was implemented in the 1990s. The former affects up to 100 million vehicles across the Volkswagen line, while the latter will work on models from Citroen, Peugeot, Opel, Nissan, Alfa Romero, Fiat, Mitsubishi and Ford.

The process isn’t exactly as simple as putting together $40 of electronics and walking away with a vehicle. The would-be thief must be close in order to detect the fob’s unique key — although they only need to do so once for that vehicle! — as well as reverse-engineer the other half of the code from the vehicle’s internal network. Exploiting HiTag2’s vulnerabilities to unlock the vehicle can be achieved within a minute by a well-prepared thief. [Garcia] and his team note that only the VW Golf 7 has been spared from this exploit.

If thievery is not your thing and you’re looking to white-hat hack your vehicle, Volkswagen still has the best option in the form of the loveable Beetle.

[Thanks for the tip therafman!]

A team from the University of California, Riverside has developed a LEGO-like system of blocks that enables users to make custom chemical and biological research instruments quickly, easily and affordably. The 3D-printed blocks can create various scientific tools, which can be used in university labs, schools, hospitals, or anywhere else.

The blocks–which are called Multifluidic Evolutionary Components (MECs)–are described in the journal PLOS ONE. Each unit performs a basic task found in a lab instrument, such as pumping fluids, making measurements, or interfacing with a user. Since the blocks are designed to work together, users can build apparatus—like bioreactors for making alternative fuels or acid-base titration tools for high school chemistry classes—rapidly and efficiently. The blocks are especially well-suited for resource-limited settings, where a library of blocks could be utilized to create an assortment of different research and diagnostic equipment.

The project is led by graduate student Douglas Hill along with assistant professor of bioengineering William Grover, and is funded by the National Science Foundation. You can read all about the 3D-printed system here, and check out the video below which reveals an Arduino Uno being put to work.

Created by “modulogeek,” the MonomePi is a step sequencer that uses a monome as an input controller and a toy glockenspiel as the output instrument.

The brain of the device is a Raspberry Pi 3, which runs a step sequencer program written in Python. Both the monome and an Arduino Uno are connected to the Pi via USB. The Arduino controls eight servos, each attached to a “mallet” made of LEGO bricks taped onto coffee sticks.

As modulogeek explains, the Arduino is programmed to receive serial commands from the Python program. A command is one byte or 8 bits, each bit representing ‘on’ (play the note) and ‘off’ (do nothing) states of each servo.

The monome is entirely controlled by the Python program, which sends serial commands that, for example, tell the monome which buttons need to light up or turn off. It also receives serial data from the monome, like which buttons are getting pressed and depressed.

You can see it below, as well as check out its GitHub page here.

Have you ever found yourself in an argument with a friend and wanted to know once and for all if they were telling the truth? Lucky for you, 17-year-old Dante Roumega has created a simple lie detector using an Arduino.

This system works by measuring an individual’s galvanic skin response, which is a fancy way of saying their conductivity. The basis for the project is that our skin changes its conductivity depending on how we feel, particularly following an evocative question.

Roumega connects an Arduino housed inside a small cardboard box to person being interrogated and to a computer running graphing software, which allows him to monitor the results in real-time. There are also three LEDs that enable him to tell if someone’s lying without looking at the screen. He starts by asking his subjects some easy things that they’d answer truthfully, like “what’s your name” or “where do you live,” followed by some that would likely prompt a false answer to get a baseline.

As for the finger pads, Roumega just used a few pieces of tinfoil, velcro and tape. He connects the Arduino’s A0 pin to one of the tinfoil strips and the 5v pin to another, and then wraps them around the middle and index fingers, respectively. You can find all of the wiring instructions and polygraph code here.

It goes without saying that this isn’t the most accurate system in the world, but still cool nevertheless!

While it may not be the first (nor will it be the last) robotic bartender we’ve seen, Pierre Charlier has come up with a clever and affordable way to mix the perfect drink at home. Say hello to HardWino.

The automatic cocktail maker consists of a six-slot, rotating beverage holder that is controlled by an Arduino Mega and uses a TFT screen to accept orders. The project also includes stepper motors and L298 driver boards, which are supported by 3D-printed parts. Power is supplied through a 12V DC jack.

Charlier provides a step-by-step breakdown of the build in the video below. Keep in mind, however, that this is merely a prototype. We can’t wait to see the final result!

A personal bartender is hard to come by these days. What has the world come to when a maker has to build their own? [Pierre Charlier] can lend you a helping hand vis-à-vis with HardWino, an open-source cocktail maker.

The auto-bar is housed on a six-slot, rotating beverage holder, controlled by an Arduino Mega and accepts drink orders via a TFT screen. Stepper motors and L298 driver boards are supported on 3D printed parts and powered by a standard 12V DC jack. Assembling HardWino is a little involved, so [Charlier]  has provided a thorough step-by-step process in the video after the break.

[Charlier] has also kindly included his Arduino code to further facilitate your happy hour. The best part? This is isn’t even the final product; and yet — this functional prototype can already turn the tables on a long day. Whatever your beverage of choice, make sure it stays as hot or cool as you want with the help of this handy coaster.