In an era where autonomous navigation, medical diagnostics and remote sensing are rapidly evolving, traditional cameras— limited to capturing only the red, green, and blue (RGB) light intensities—are falling short of data demands. These cameras often miss essential spectral and polarization details crucial for identifying materials, distinguishing healthy from diseased tissue, providing unique 3D situational awareness and tracking environmental changes. The fast development of artificial intelligence and the emerging field of “spatial intelligence” also drive the need for imaging technologies that can capture more information-rich data, empowering us to view and understand the world in unprecedented ways.
