On May 20, 2026, a research team at the University of Arizona unveiled a groundbreaking 3D imaging technology that tackles a major hurdle: enabling machines to accurately identify both reflective and non-reflective objects within intricate scenes. Built upon the 'deflectometry method,' this cutting-edge technology leverages laser scanning and sophisticated algorithms to pinpoint reflective regions, effectively turning the surrounding environment into a 'virtual screen.' Additionally, it incorporates neuromorphic event cameras to dramatically boost the speed of capturing dynamic 3D scenes, ensuring adaptability in environments with extreme variations in brightness, from intense light to deep shadows. Looking ahead, this technology holds immense potential for application in diverse fields, including autonomous driving navigation, robotic surgery, industrial inspection, and biomedical imaging.