Michael Jeffery Casey

US Patent:

20110221188, Sep 15, 2011

Filed:

Mar 9, 2011

Appl. No.:

13/043825

Inventors:

John Fuller - Anaheim CA, US
Michael Casey - Anaheim CA, US

International Classification:

F16L 37/18

US Classification:

285312

Abstract:

Embodiments of the invention are directed to devices and methods to partially, substantially or completely alleviate premature wear-and-tear and damage to fittings used in conjunction with industrial hoses during repeated use. In one embodiment, a device includes one or more rings adapted to position about a portion of the fitting. In one embodiment, the ring may include one or more notches corresponding to one or more features on the fitting. In another embodiment, the ring does not include any notches.

US Patent:

20150254499, Sep 10, 2015

Filed:

Mar 6, 2015

Appl. No.:

14/641171

Inventors:

Guan PANG - Los Angeles CA, US
Jing HUANG - Los Angeles CA, US
Amir ANVAR - Houston TX, US
Michael Brandon CASEY - Houston TX, US
Christopher Lee FISHER - Houston TX, US
Suya YOU - Los Angeles CA, US
Ulrich NEUMANN - Manhattan Beach CA, US

Assignee:

CHEVRON U.S.A. INC. - San Ramon CA
UNIVERSITY OF SOUTHERN CALIFORNIA - Los Angeles CA

International Classification:

G06K 9/00
H04N 13/00
G06T 7/00

Abstract:

A method of detecting objects in three-dimensional (3D) point clouds and detecting differences between 3D point clouds and the objects therein is disclosed. A method includes receiving a first scene 3D point cloud and a second scene 3D point cloud, wherein the first scene 3D point cloud and the second scene 3D point cloud include first and second target objects, respectively; aligning the first scene 3D point cloud and the second scene 3D point cloud; detecting the first and second target objects from the first scene 3D point cloud and the second scene 3D point cloud, respectively; comparing the detected first target object with the detected second target object; and identifying, based on the comparison, one or more differences between the detected first target object and the detected second target object. Further aspects relate to detecting changes of target objects within scenes of multiple 3D point clouds.