The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 02, 2026

Filed:

Mar. 22, 2023
Applicant:

Hong Kong Applied Science and Technology Research Institute Co., Ltd., Shatin, HK;

Inventors:

Alwin Ming Wai Tam, Tsuen Wan, HK;

Malik Saad Sultan, Hung Hom, HK;

Xiuling Zhu, Shatin, HK;

Kenny Kin Lung Chan, Kowloon, HK;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 23/667 (2023.01); G02B 5/00 (2006.01); G02F 1/01 (2006.01); G02F 1/1347 (2006.01); G02F 1/135 (2006.01); G02F 1/139 (2006.01); G06V 10/62 (2022.01); G06V 10/764 (2022.01); G06V 10/77 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); H04N 23/55 (2023.01);
U.S. Cl.
CPC ...
H04N 23/667 (2023.01); G02B 5/001 (2013.01); G02F 1/0136 (2013.01); G02F 1/13471 (2013.01); G02F 1/135 (2013.01); G02F 1/1393 (2013.01); G06V 10/62 (2022.01); G06V 10/764 (2022.01); G06V 10/7715 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); H04N 23/55 (2023.01); G02F 2203/48 (2013.01);
Abstract

A dynamic vision sensing system, which includes a dynamic vision sensor, a AI recognition module connected to the dynamic vision sensor, and a static mode triggering module coupled to the Ai recognition module. The static mode triggering module is adapted to trigger an intensity change in an environment captured by the dynamic vision sensor to observe a static object of interest, a property that conventional dynamic vision sensor failed to capture. The motion recognition module upon detecting a change of a motion in the environment is adapted to send a command to the static mode triggering module to trigger the intensity change. An AI controlled electro-optical system is therefore proposed to capture object of interest even if the object is static by triggering effective intensity change of the static object at sensing end, hence eliminate blind spot of existing DVS system.


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