Dynamic Vision Sensors Detect, Differentiate Movement in Real Time

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OAK RIDGE, Tenn., Aug. 13, 2019 — Oak Ridge National Laboratory (ORNL) is training next-generation cameras called dynamic vision sensors to interpret live information. Unlike a traditional digital camera that records large amounts of information in frames, a dynamic vision sensor, or DVS, transmits changes in light intensity on a per-pixel basis. Individual pixel locations are recorded and time-stamped to the microsecond, creating “data events” that are processed by a neuromorphic network. “Because the DVS records only changes in what it sees, there is no redundant data,” said Kemal Fidan, an ORNL intern.

This capability enables the sensors to be fast, power-efficient, and effective in a wide range of light intensity. The DVS could be applied in robotics and could improve autonomous vehicle sensing.

Dynamic vision sensors at Oak Ridge National Laboratory were trained to detect and recognize 11 different gestures, such as waving and clapping, in real time. The resulting image shows movement on the pixel level. This video shows a spinning coin. Courtesy of Kemal Fidan/Oak Ridge National Laboratory, U.S. Department of Energy.


Published: August 2019
machine vision
Machine vision, also known as computer vision or computer sight, refers to the technology that enables machines, typically computers, to interpret and understand visual information from the world, much like the human visual system. It involves the development and application of algorithms and systems that allow machines to acquire, process, analyze, and make decisions based on visual data. Key aspects of machine vision include: Image acquisition: Machine vision systems use various...
Research & TechnologyOak Ridge National LaboratoryORNLAmericasImagingcamerasSensors & Detectorsroboticsautonomous vehiclesautomotivemachine vision

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