公开(公告)号：US20230094994A1

公开(公告)日：2023-03-30

申请号：US17538542

申请日：2021-11-30

Applicant: Congying SUI

Inventor： Yunhui LIU ,  Congying SUI

IPC: H04N5/3745 ,  H04N5/341 ,  G06T17/00

Abstract: This disclosure presents a novel smart complementary metal oxide semiconductor (CMOS) sensor that can detect the “bright” pixels and export the light intensity and location of the selected pixels only. The detecting function is achieved by applying a thresholding criteria method. A novel CMOS architecture is proposed. The FPA-implemented COMS is shared by two sets of column processing circuitry for selecting, processing and exporting the data from top half and bottom half of FPA respectively. The CMOS architecture comprises a re-routing scheme, multiple I/Os deployment, parallel-shifting FIFO memory buffers, and interleaved timing scheme.

公开(公告)号：US20230039767A1

公开(公告)日：2023-02-09

申请号：US17816726

申请日：2022-08-02

Applicant: Congying SUI

Inventor： Yunhui LIU ,  Congying SUI

IPC: H04N5/341 ,  H04N5/3745 ,  H04N13/275

Abstract: This disclosure presents a novel smart CMOS imaging sensor and the methods and system for imaging of an object using the smart CMOS imaging sensor. A CMOS-implemented 3D imaging system compromises a wise-pixels-containing imaging sensor and a scanning light point or beam to achieve 3D shape reconstruction, by recording performance of each wise-pixel to the incident light over the period of “valve modulation”. The “valve modulation” is a one-time process of accumulation and release of charges. A frame period comprises multiple valve modulations. In the “frame period”, each wise-pixel will repeat the process that temporarily stores the light intensity, and then release, along with a selection of preferred intensity (e.g. the globally maximum intensity, or the locally maximum intensities, and or the intensities above a certain threshold) during the whole frame period, and the selected intensity and the corresponding time will be exported to the computing units. The selection of the different preferred light intensities is implemented by memory-based, threshold-based, and difference-based approaches, respectively. The obtained maximum intensity and time information can be used to reconstruct 3D geometric information of the surface of the object scanned by moving light source.