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:
Jul. 08, 2025

Filed:

Dec. 27, 2021
Applicants:

Chengdu Synsense Technology Co., Ltd., Sichuan, CN;

Shenzhen Synsense Technology Co., Ltd., Guangdong, CN;

Shanghai Synsense Technology Co., Ltd., Shanghai, CN;

Inventors:

LingYun Ke, Shanghai, CN;

Ning Qiao, Guangdong, CN;

Weitao Zeng, Sichuan, CN;

Min Wang, Sichuan, CN;

Zheng Ke, Sichuan, CN;

Kai Zhou, Sichuan, CN;

Yudi Ren, Sichuan, CN;

Lin Zhang, Sichuan, CN;

Jianjun Fan, Sichuan, CN;

Junjun Yu, Sichuan, CN;

Jun Wang, Sichuan, CN;

Xiwen Gong, Sichuan, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 25/47 (2023.01); H04N 25/618 (2023.01); H04N 25/67 (2023.01);
U.S. Cl.
CPC ...
H04N 25/47 (2023.01); H04N 25/618 (2023.01);
Abstract

A noise filtering device, method, and chip for a dynamic vision sensor (DVS), and an event-driven vision device, and an electronic device are provided. In order to meet multi-dimensional requirements of a denoising solution such as power consumption, delay, storage resources, calculation resources, denoising effect, applicable range of noise types, and hardware implementation difficulty, in this disclosure, global space-domain and time-domain informations are simultaneously aggregated in a shift register, or latest time-domain informations are collected through a space domain, and finally, whether an event generated by a DVS is a noise event is judged on the basis of clustering of space-domain informations and the time-domain informations. While achieving excellent denoising performance, this disclosure has outstanding advantages in the aforementioned multiple dimensions because of advantages of parallel and simple calculation and no dependence on a DVS resolution, etc.


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