Military researchers eye electro-optical sensors with machine learning algorithms for defense applications:
ARLINGTON, Va. – U.S. military researchers are asking industry to develop a new kind of camera and digital signal processing to enable intelligent electro-optical sensors for tactical military applications. Officials of the U.S. Defense Advanced Research Projects Agency (DARPA) in Arlington, Va., issued a broad agency announcement on Friday (HR001121S0001) for the Fast Event-based Neuromorphic Camera and Electronics (FENCE) program. DARPA FENCE seeks to develop and demonstrate a low-latency, low-power, event-based camera and a new class of digital signal processing and machine learning algorithms that use combined spatial and temporal information to enable intelligent sensors for tactical military applications. Neuromorphic describes silicon circuits that mimic brain operation; it exhibits low latency, sparse output, and extreme energy efficiency. Neuromorphic cameras offer sparse output, and respond only to changes in the scene, with accompanying low latency and low power for small-format cameras in sparse scenes.
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