During infancy, a baby's brain maps a mother's moving lips to the sound of her voice with the superior colliculus portion of the brain, which associates external direction with an internal visual reference guide. Researchers at the University of Illinois are using that idea for development of a new self-aiming camera that could help the military distinguish a flock of geese from a fleet of MiGs. "The superior colliculus serves as the visual reflex center of the brain," says Sylvian Ray, a UI professor of computer science. "It is the primary agent for deciding which direction to turn the head in response to sensory stimuli," he says. The system includes microphones and two cameras. As the camera detects motion by comparing successive frames, the system monitors audio signals from the omni-directional microphones. Sound location algorithms analyze the sound and send information to a neural network. A second camera equipped with a long-range lens determines the position of the target. Ray says the combination of sight and sound offers a stronger stimulus than each individually. For more information, go to www.uiuc.edu.
Truchard will be presented the award at the 2014 Golden Mousetrap Awards ceremony during the co-located events Pacific Design & Manufacturing, MD&M West, WestPack, PLASTEC West, Electronics West, ATX West, and AeroCon.
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.