“Color is used as one of the principle components in recognizing ‘good’ from ‘bad,’ ‘go’ from ‘no-go,’ so there’s a huge implication here for a variety of industrial uses,” Kar says. “When we grow these materials on a certain surface, and then allow light to pass through that, what comes out of this other end, when it falls on a sensor, is an electrical signal which then group can treat as data.”Īs it relates to machine vision, there are numerous industrial applications for this research tied to, among other things, autonomous vehicles, agricultural sorting and remote satellite imaging, Kar says.īreakthrough in quantum sensing provides new material to make ‘qubits’ read more “This is about what happens to light when it passes through quantum matter,” Kar says. Researchers have long hailed the unique materials as having “ virtually unlimited potential,” with many “electronic, optoelectronic, sensing and energy storage applications.”
The essence of the technological discovery centers on the quantum and optical properties of the class of material, called transition metal dichalcogenides. The project is a result of unique collaboration between Northeastern’s quantum materials and Augmented Cognition labs. Researchers were able to engineer two-dimensional material whose special quantum properties, when built into an optical window used to let light into the machine, can process a rich diversity of color with “very high accuracy”-something practitioners in the field haven’t been able to achieve before.Īdditionally, A-Eye is able to “accurately recognize and reproduce ‘seen’ colors with zero deviation from their original spectra” thanks, also, to the machine-learning algorithms developed by a team of AI researchers, helmed by Sarah Ostadabbas, an assistant professor of electrical and computer engineering at Northeastern. Photo by Alyssa Stone/Northeastern University Northeastern Associate Professor of Physics Swastik Kar. “In the world of automation, shapes and colors are the most commonly used items by which a machine can recognize objects,” Kar says. The ability of machines to detect, or “see,” color is an increasingly important feature as industry and society more broadly becomes more automated, says Swastik Kar, associate professor of physics at Northeastern and co-author of the research.
The machine, which researchers call “A-Eye,” is capable of analyzing and processing color far more accurately than existing machines, according to a paper detailing the research published in Materials Today. An interdisciplinary team of researchers at Northeastern have built a device that can recognize “millions of colors” using new artificial intelligence techniques-a massive step, they say, in the field of machine vision, a highly specialized space with broad applications for a range of technologies.
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