Those brainy folks over at Stanford are working on an open source digital camera. This is an effort to advance what they call “computational photography”. Basically they’re looking to combine some of the functionality of Photoshop or Gimp right into the camera. One example they discuss is utilizing an algorithm to even out the light levels from one side of the picture to the other. Another trick they’ve already accomplished in the lab is increasing the resolution of full motion video. They take a full resolution photo once every few frames and use the computing power of the camera to incorporate that information into the low-res frames around it.

We like the idea of being able to get at the firmware that runs on our digital cameras. Going with open source would certainly provide that access, but cost will be an issue. The Stanford team hopes to produce a model of what they now call Frankencamera that sells for “less than $1000″.

[via crave]

Stanford’s autonomous helicopter group has made some impressive advancements in the field of autonomous helicopter control, including inverted hovering and performing aerobatic stunts. The group uses reinforcement learning to teach its control system various maneuvers and has been very successful in doing so. One of their latest achievements was teaching the bot the emergency landing technique autorotation. Autorotation is used when a helicopter’s engine fails or is disengaged and works by changing the collective pitch to use the airflow from descent to rotate the blades. The group has more flight demonstrations on their YouTube channel.

[via BotJunkie]