Rapid sensing of hidden objects and defects using a single-pixel diffractive terahertz sensor

Rapid sensing of hidden objects and defects using a single-pixel diffractive terahertz sensor

Blog Article

Abstract Terahertz waves offer advantages for nondestructive detection of hidden objects/defects in materials, as they can penetrate most optically-opaque materials.However, existing terahertz inspection systems face throughput and accuracy restrictions due to their limited imaging speed and resolution.Furthermore, machine-vision-based systems Haul Away using large-pixel-count imaging encounter bottlenecks due to their data storage, transmission and processing requirements.Here, we report a diffractive sensor that rapidly detects hidden defects/objects within a 3D sample using a single-pixel terahertz detector, eliminating sample scanning or image formation/processing.Leveraging deep-learning-optimized diffractive layers, this diffractive sensor can all-optically probe the 3D structural information of samples by outputting a spectrum, directly indicating the presence/absence of hidden structures or defects.

We experimentally validated this framework FUCHSIA FLOOD LIPSTICK using a single-pixel terahertz time-domain spectroscopy set-up and 3D-printed diffractive layers, successfully detecting unknown hidden defects inside silicon samples.This technique is valuable for applications including security screening, biomedical sensing and industrial quality control.