We convert a meeting room into our top secret quadcopter drone project HQ for the week, ducking in and out between meetings and our day jobs to work on the drone...
We unpack the Parallax ELEV-8 chassis
Mike and Ashish assemble the quadcopter. This takes them about 8 hours in all.
I get working on soldering the AeroQuad flight control board. I haven't done any soldering in nearly 20 years, so this takes me a few hours in all! Luckily, the awesome MSR workshop contains all the tools I'll ever need for the job, plus much more...
Another view of the MSR workshop, which is chock full of 3D printers, CNC machines, laser cutters, and other goodies...
The finished AeroQuad flight control board contains the Arduino open source autopilot board, a 6DOF gyro and accelerometer, and the radio R/T board.
Jay, Andres and Mark work on getting the BeagleBone (a Raspberry Pi like computer) up and running with Ubuntu Linux. The BeagleBone will, among other things, run a NodeJS webservice enabling wi-fi transmission of telemetry data and the pictures and video taken by the drone's onboard cameras to the mission computer / laptop. See below for a whiteboard systems diagram...
Shady gets working on the getting the pictures and video from the mission computer / laptop to the MSR cloud to perform image analysis and face recognition. Not sure if it will work in all situations, though...
On Day 4, Mike and Ashish test the quadcopter in the lab...
...and outdoors, where the quadcopter takes a somewhat unexpected trajectory through the air....(click for video)
The night before the projects are due, we cut a new part to mount the flight control board using Visio and the laser cutter
At the final presentation, we're careful to keep flying time and height to a minimum. You see, we didn't have time to implement the "altitude hold" feature, and a manually controlled quadcopter can be a lethal weapon......(click for video)
In the interest of safety, we demonstrate the face recognition feature by physically carrying the quadcopter up to Shady's face. The drone's camera captures Shady's picture ands sends it to the BeagleBone to the mission control laptop to the MSR Image / Face recognition Azure cloud, and we get a positive in about 5 seconds. It works! ... (click for video)
It's been a great week working with some amazingly smart and collaborative folks. Now, take a look at one of the other projects at the MSR Make Fest, the Fiber Optic Tree... (click for video)