[Mr G] in London sent in his pin sentry hack. He wasn’t pleased that the device looks like an old calculator, so he rigged up a SMS board to send him his pin on demand. He multiplexed the output of the display driver to the SMS board. When he authenticates from his phone, the board sends a message with the latest code.
Reader [aaron rasmussen] and his brother Ezra built this awesome robotic sentry gun. The gun is an airsoft replica of an FN P90 and fires 6mm BBs. Pan and tilt are controlled by two hobby servos using a simple controller. Aaron wrote custom software to watch the usb webcam and track targets. There is a video on the site of it being tested
Ever since the Roomba was invented, humanity has been one step closer to a Jetsons-style future with robots performing all of our tedious tasks for us. The platform is so ubiquitous and popular with the hardware hacking community that almost anything that could be put on a Roomba has been done already, with one major exception: a Roomba with heat vision. Thanks to [marcelvarallo], though, there’s now a Roomba with almost all of the capabilities of the Predator.
The Roomba isn’t just sporting an infrared camera, though. This Roomba comes fully equipped with a Raspberry Pi for wireless connectivity, audio in and out, video streaming from a webcam (and the FLiR infrared camera), and control over the motors. Everything is wired to the internal battery which allows for automatic recharging, but the impressive part of this build is that it’s all done in a non-destructive way so that the Roomba can be reverted back to a normal vacuum cleaner if the need arises.
If sweeping a just the right time the heat camera might be the key to the messy problem we discussed on Wednesday.
The only thing stopping this from hunting humans is the addition of some sort of weapons. Perhaps this sentry gun or maybe some exploding rope. And, if you don’t want your vacuum cleaner to turn into a weapon of mass destruction, maybe you could just turn yours into a DJ.
It’s overkill, but it’s really cool. [Bob Bond] took an NVIDIA Jetson TX1 single-board computer and a webcam and wirelessly combined them with his lawn sprinklers. Now, when his neighbors’ cats come to poop in his yard, a carefully trained neural network detects them and gets them wet.
It is absolutely the case that this could have been done with a simple motion sensor, but if the neural network discriminates sufficiently well between cats and (for instance) his wife, this is an improved solution for sure. Because the single-board computer he’s chosen for the project has a ridiculous amount of horsepower, he can afford to do a lot of image processing, so there’s a chance that everyone on two legs will stay dry. And the code is up on GitHub for you to see, if you’re interested.
[Bob] promises more detail about the neural network in the future. We can’t wait. (And we’d love to see a sentry-turret style build in the future. Think of the water savings!)
Via the NVIDIA blog, and thanks [Jaqen] for the tip!
Killer robots are a mainstay of science fiction. But unlike teleportation and flying cars, they are something that we are likely to see within our lifetime. The only thing that’s stopping countries like the USA, South Korea, the UK, or France from deploying autonomous killing machine in the very near term is that they’re likely to be illegal under current international humanitarian law (IHL) — the rules of war.
But if you just sighed in relief that the fate of humanity is safe, think again. The reason that autonomous killing machines are illegal is essentially a technicality, and worse, it’s a technicality that’s based on the current state of technology. The short version of the story, as it stands right now, is that the only thing making autonomous robotic killing weapons illegal is that it’s difficult for a robot to tell a friend from an enemy. When technology catches up with human judgement, all bets are off.
Think I’m insane? The United Nations Office at Geneva (UNOG), the folks who bring you the rules of warfare, started up a working group on killer robots three years ago, and the report from their 2016 meeting just came out. Now’s as good a time as any to start taking killer robots seriously.
We think we have another dad-of-the-year award to give out. When [Andy’s] five-year-old son won a Raspberry Pi 2 and needed a new bed, they decided to build the ultimate bed. It’s loosely based on the Helicarrier from S.H.I.E.L.D. and it’s packed with so much tech, you barely need to imagine anything to have fun with it.
It looks pretty simple from the outside, until you realize that the detailed little hatch on the side is actually a keypad secure entry automatic sliding door. Controlled by the Raspberry Pi, recordings of [JARVIS’] voice speak to you as you enter the belly of the ship, er, bed.
Inside are glowing display cases featuring some of his son’s favorite Marvel superhero’s equipment — ready for use. But what’s really cool is the command console.
The terminal is expertly crafted to look like something out of the movies, and with the Raspberry Pi 2, his son can play with it and fight off the bad guys. There’s even a sentry turret with camera on the outside, controlled from inside the bed.
One of the recurring themes of science fiction is the robot. From such icons as C-3PO and R2D2 in Star Wars to WALL-E and Eve, robots have always had a certain appeal. Inexpensive microcontrollers like the Arduino have opened up the world of robotics to more people. [JohnFin] has done just this. By linking two Arduinos as the brain, he has created a voice controlled robot he calls S.P.A.R.C. (Sentry/Project Assistant/Robot Companion).
It began when he received a robotic arm for Christmas and was disappointed by it. Instead of simply building a better arm, he got “carried away” and built an entire robot instead. The entire project took three months, most of which he spent learning programming.
SPARC has three sonar sensors for detecting obstacles and movement, an arm and a couple of interchangeable hands for holding objects, and an EasyVR Arduino Shield for the voice control. The robot’s “eyes” are an LED ‘KITT’ scanner and an AN6884 VU meter chip that flashes the “eyes” when the robot speaks. It carries an onboard smartphone to look up weather, play music from the phone’s SD card, and GPS functions.
SPARC can respond to a range of commands and games including “follow me” and “singing.” [JohnFin] has also added a “sequencer” function to record and playback a series of commands. A video of this feature can be found after the break.