BYU’s smart object recognition algorithm doesn’t need humans!

Posted: January 23, 2014 in Test Equipment
Tags: , , , , ,

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Highly accurate system learns to decipher images on its own

If we’ve learned anything from post-apocalyptic movies it’s that computers eventually become self-aware and try to eliminate humans.

BYU engineer Dah-Jye Lee isn’t interested in that development, but he has managed to eliminate the need for humans in the field of object recognition. Lee has created an algorithm that can accurately identify objects in images or video sequences without human calibration.

“In most cases, people are in charge of deciding what features to focus on and they then write the algorithm based off that,” said Lee, a professor of electrical and computer engineering. “With our algorithm, we give it a set of images and let the computer decide which features are important.”

Not only is Lee’s genetic algorithm able to set its own parameters, but it also doesn’t need to be reset each time a new object is to be recognized—it learns them on its own.

 

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