Distributed multi-parameter fiber optic sensor for harsh environment sensing
By leveraging the power of optics, AOMS has invented a series of powerful technologies to transform the landscape of sensing industry for reliable, accurate, and high-fidelity measurements in applications where existing sensor products fail or lose performance.
All Solid State Rechargeable Microbattery
A microbattery is a thin film energy storage solution enabler for autonomous smart object thanks to its unique characteristics (safe, all solid state, rechargeable, free form factor) combining electrical benefits of capacitors and batteries.
mini Low Cost Control Electronics
Iris TechnologiesÃ¢â‚¬â„¢ mini Low Cost Control Electronics (mLCCE) are electronics designed to provide controlled power (25W) for a wide variety of spaceflight applications. The current generation mLCCE is cryocooler agnostic and controls a number of different low power cryocoolers in space.
High speed 3D scanning LiDAR optical engine
Structure design technology for optical system in order to mount a high performance LiDAR on a vehicle/core technology of ADAS for preventing collision of autonomous driving vehicle
Miniature Integrated Nuclear Detection System (MINDS)
PPPLÃ¢â‚¬â„¢s Miniature Nuclear Detection System (MINDS) is a portable, lightweight, low-cost nuclear detection system that ferrets out and identifies radioactive materials used in nuclear weapons.
EQ / Real-time platform for traffic, navigation, parking, crowd control & security.
EventQueue (EQ) streamlines traffic, navigation, parking, crowd-control, and security in real-time around mass gatherings. The EQ mobile platform combines a fusion of new technologies with insider information from professionals to get users in/out of traffic and crowded spaces by maximizing space and flow with real time data and communication.
Motion Estimation Free Video Denoising by Patch Group Prior Aided Deep Learning
We learn a patch group prior model from videos, and integrate it into the deep learning framework, developing an effective video denoising algorithm without motion estimation, which is often a must in other video denoising methods. The proposed algorithm demonstrates clearly better performance than the existing state-of-the-arts.