Michael David Devore

US Patent:

59242973, Jul 20, 1999

Filed:

Nov 3, 1997

Appl. No.:

8/963449

Inventors:

Patrick J. Wolff - Florissant MO
Michael E. DeVore - Bridgeton MO
Susan M. Polson - Maryville IL

Assignee:

Hussmann Corporation - Bridgeton MO

International Classification:

F25D 2102

US Classification:

62152

Abstract:

The invention comprises a merchandiser having a refrigerated product area with a plurality of product zones and separate air flow circulation means for the respective product zones, laterally adjacent modular cooling coils associated with the respective air flow circulation means and having a normal air flow cooling mode, and defrosting means constructed and arranged for selectively discontinuing the normal cooling mode of one modular cooling coil to effect a defrosting mode thereof during a period of continued normal cooling mode operation of another of said modular cooling coils, and thereafter defrosting another modular cooling means after re-establishing normal air flow cooling of said one modular cooling coil. The invention further comprises the method of defrosting separate modular cooling coils on staggered defrost cycles to maintain at least partial cooling air flow to the merchandiser product area at all times.

US Patent:

20150323989, Nov 12, 2015

Filed:

May 8, 2015

Appl. No.:

14/707755

Inventors:

ALEC BATEMAN - Charlottesville VA, US
Michael DeVore - Troy VA, US

Assignee:

Barron Associates, Inc. - Charlottesville VA

International Classification:

G06F 3/01
G10L 13/02
G06K 9/32
G06K 9/00

Abstract:

Computer based systems, methods, and computer readable media for sensing and decoding a sequence of facial expression exhibited by an individual sender, in order to determine a message encoded by that sequence of the individual. Digital image sensor devices may capture facial images of a sending individual. An enrollment processes is used by which an enrolled message is associated with a sequence of facial expressions. A background model is used with relevant expression models to locate a region of interest of the individual's face, which models accommodate the stand-off placement of the image sensors relative to the individual. An expression identifier is used with the expression model to classify captured images as including an enrolled facial expression. The classified images may then be decoded to identify the message sent.