公开(公告)号：US20220136826A1

公开(公告)日：2022-05-05

申请号：US17436171

申请日：2020-02-12

Applicant: SONY GROUP CORPORATION

Inventor： SHO NISHIDA ,  KENTA ENDO ,  KEI NAKAGAWA ,  TAKAO TANIKAME

IPC: G01C3/06 ,  H01L31/0232 ,  G01S7/4915 ,  G01S17/894 ,  H01L31/0216

Abstract: A distance measuring device according to the present disclosure includes: a light-receiving section including a first light-receiving pixel and a second light-receiving pixel that are configured to detect light, and a light-shielded pixel that is light-shielded, the first light-receiving pixel, the light-shielded pixel, and the second light-receiving pixel being disposed in a first direction in this order; and a processor that is configured to measure a distance to a measurement object on the basis of a detection result in the first light-receiving pixel and a detection result in the second light-receiving pixel.

公开(公告)号：US20220400213A1

公开(公告)日：2022-12-15

申请号：US17755207

申请日：2020-08-04

Applicant: SONY GROUP CORPORATION

Inventor： KENTA ENDO ,  AYAKA HIRATA

IPC: H04N5/243 ,  G06V40/16 ,  H04N5/225 ,  H04N5/235

Abstract: An object recognition system of the disclosure includes: a light source emitting dot light having a predetermined pattern to an object; an event detection sensor receiving the dot light having the predetermined pattern reflected by the object and detecting the fact that a change in luminance of a pixel has exceeded a predetermined threshold as an event; and a signal processor removing information other than event information originated from the dot light emitted from the light source and having the predetermined pattern among event information detected by the event detection sensor.

公开(公告)号：US20240414428A1

公开(公告)日：2024-12-12

申请号：US18700741

申请日：2022-10-14

Applicant: SONY GROUP CORPORATION

Inventor： SUSUMU TAKATSUKA ,  KENTA ENDO ,  CHRISTOPHER WRIGHT ,  BERNADETTE ELLIOTT-BOWMAN ,  NICHOLAS WALKER

IPC: H04N23/61 ,  G06N3/0464 ,  G06N3/067 ,  H04N23/11

Abstract: A neural network device includes a light receiving portion that receives light through an optical neural network, and a control unit that performs a predetermined control with detection of a predetermined target object based on a signal corresponding to light received by the light receiving portion as a trigger.