Nanophotonic Chips
Our in-house nanophotonic chips provide the hardware foundation for structured light, mToF and other sensing technologies.
DEPTRUM develops optical sensing, intelligent perception and perception computing technologies across the full stack—from chips and optical hardware to software, algorithms and complete solutions.
Three complementary fields turn optical information into the ability to perceive, understand and compute—bringing visual perception to real-world applications.
Our in-house nanophotonic chips provide the hardware foundation for structured light, mToF and other sensing technologies.
Actively projected speckle patterns capture spatial information to reconstruct objects in 3D.
Active stereo imaging measures binocular disparity to reconstruct a scene in 3D.
Structured light and ToF combine close-range accuracy with long-range detection.
Palmprint and palm vein images provide the visual data for identity authentication.
An area-array depth camera captures continuous 3D point clouds. Spatial feature extraction, matching and pose estimation enable real-time localization and mapping for autonomous robot navigation.
Continuous stereo imagery supports real-time localization and mapping through stereo matching, feature tracking and pose estimation.
Combines 2D facial texture and 3D facial structure for identity recognition. 3D liveness detection distinguishes real faces from spoofing attempts to strengthen authentication security.
Dual-modal palmprint and palm vein biometrics use visual algorithms for feature extraction, matching and contactless identity authentication.
Vision captures hand position, pose and motion, while AI algorithms identify gestures and movements for natural, vision-based interaction.
Combines color and texture from RGB images with spatial information from depth data to give robots integrated RGB-D vision.
Hardware–software co-design implements core structured-light computations as a soft core, improving 3D processing efficiency and enabling lightweight, real-time spatial computing at the edge.
Algorithmic advances and engineering optimization address the compute and memory limits of embedded platforms, enabling real-time localization and mapping with as little as one A53 core and 100 MB of memory.
Integrates image processing, 3D computation, AI recognition and SLAM to reduce data transfers and redundant computation—processing visual input into usable perception outputs entirely at the edge.
Core Technology
Core technologies that bring adaptable 3D vision to a wide range of applications
Nanophotonic Chips
Palm authentication, home robotics,
underwater robotics and under-display 3D sensing
Structured light, stereo vision, sToF, iToF, dToF
and polarization sensing
Nebula, Veinshine, Pisca,
Libra, Aurora and more
3D liveness detection, volume measurement, SLAM, image segmentation and gesture interaction