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Rapid Sensing of Hidden Objects and Defects Using a Single-Pixel Diffractive Terahertz Processor (Case No. 2023-184)

Summary: UCLA researchers have developed a diffractive sensor that leverages deep-learning-optimized diffractive layers to rapidly detect hidden objects and defects within a 3D sample without scanning or image processing. Background: Inspecting hidden structures is a critical requirement in various fields, including security, manufacturing, and...

Published: 6/13/2024 | Inventor(s): Aydogan Ozcan, Jingxi Li

Keywords(s): Deep learning-based sensing, Electrical, Electrical Engineering, Image Processing, Machine Learning, real-time sensing/monitoring/tracking, Remote Sensing, smart sensing, target detection

Category(s): Electrical, Electrical > Sensors, Optics & Photonics > Spectroscopy, Software & Algorithms > Artificial Intelligence & Machine Learning