Sniping 2.4GHz

A long time ago when WiFi and Bluetooth were new and ‘wardriving’ was still a word, a few guys put a big antenna on a rifle and brought it to DefCon. Times have changed, technology has improved, and now [Hunter] has built his own improved version.

The original sniper Yagi was a simple device with a 2.4 GHz directional antenna taped onto the barrel, but without any real computational power. Now that displays, ARM boards, and the software to put this project all together are cheap and readily available, [Hunter] looked towards ubiquitous computing platforms to make his Sniper Yagi a little more useful.

This version uses a high gain (25dBi) antenna, a slick fold-out screen, and a Raspberry Pi loaded up with Raspberry Pwn, the pentesting Raspi distro, to run the gun. There’s a button connected to the trigger that will automatically search the WiFi spectrum for the best candidate for cracking and… get cracking.

[Hunter] says he hasn’t taken this highly modified airsoft rifle outside, nor has he pointed out a window. This leaves us with the question of how he’s actually testing it, but at least it looks really, really cool.

Sensor Gloves From Joystick Pots

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After working on the DARPA Virtual Robotics Challenge this summer, visions of a Heinlenesque robotic actuator filled [Hunter]’s head. His lab had access to something called a Cyberglove that used flexible pots in each of the fingers, but each of these gloves cost the lab $15,000 each.

With a little help from some joystick potentiometers, [Hunter] whipped up a decent approximation of a $15,000 device that measures how much a user’s fingers are bent. The pots are tied into an Arduino and read with analogRead(), while a small Python script interprets the data for whatever application [Hunter] can imagine.

There are a few drawbacks to [Hunter]’s design – it’s not wireless, unlike the $15,000 version, and they certainly don’t look as cool as the real thing. Then again, the DIY version only cost 0.2% as much as the real deal, so we’ll let any apparent problems slide for now.