Apple Inc.

Instrumental, Inc.

Other

Samuel Bruce Weiss

Anna-Katrina Shedletsky

Fletcher R Rothkopf

Colin M Ely

Christopher Matthew Werner

Isaac Sukin

Simon Kozlov

Jody R Akana

Julian Hoenig

Rico L Zorkendorfer

Jonathan P Ive

Duncan Robert Kerr

Bartley K Andre

Richard P Howarth

Eugene Antony Whang

Peter N Russell-Clarke

Christopher J Stringer

Daniele De Iuliis

Daniel J Coster

Matthew Dean Rohrbach

Jeremy D Bataillou

Shota Aoyagi

Benjamin Andrew Shaffer

Anthony Michael Ashcroft

Mikael M Silvanto

Marc A Newson

Martha Evans Hankey

Stephen Paul Zadesky

Erik G De Jong

Tyler S Bushnell

Trevor J Ness

Jason C Sauers

Benjamin J Kallman

David M Pelletier

Brett W Degner

Eric Steven Jol

Michael Benjamin Wittenberg

Camille Moussette

Phillip Michael Hobson

Storrs Townsend Hoen

David I Nazzaro

Jonah Alexander Harley

Brad G Boozer

Makiko K Brzezinski

Peter J Kardassakis

Ana Ulin

Mikhail Okunev

Patrick Kessler

John B Morrell

Erik Geddes Pieter De Jong

Katherine E Tong

Tilmann Bruckhaus

John James Shedletsky, Iii

Shilpi Kumar

Ian Theilacker

Brendan Green

Stephen Brian Lynch

Anthony Joseph Guetta

Serhan O Isikman

Andrzej T Baranski

Kuldeep P Lonkar

Douglas A Scott

Dale N Memering

David H Narajowski

Bradley Joseph Hamel

Michael E Leclerc

Nikolas T Vitt

Pierre M Teplitxky

M Evans Hankey

Rico Zörkendörfer

Christopher R Wilk

Ruchir M Dave

Justin Derry Crosby

Andrew P Bright

Alexander V Salvatti

David Glen Havskjold

Jesse A Lippert

Pablo Seoane Vieites

Teemu P Sipila

Jaseem Aliyar

John S Morrell

Reilly Hayes

Spencer Purdy

Molly McShane

Farhan Panthaki

One variation of a method for predicting manufacturing defects includes: accessing a first set of inspection images of a first set of assembly units recorded by an optical inspection station over a first period of time; generating a first set of vectors representing features extracted from the first set of inspection images; grouping neighboring vectors in a multi-dimensional feature space into a set of vector groups; accessing a second inspection image of a second assembly recorded by the optical inspection station at a second time succeeding the first period of time; detecting a second set of features in the second inspection image; generating a second vector representing the second set of features in the multi-dimensional feature space; and, in response to the second vector deviating from the set of vector groups by more than a threshold difference, flagging the second assembly unit.

Method for predicting defects in assembly units

One variation of a method for monitoring manufacture of assembly units includes: receiving selection of a target location hypothesized by a user to contain an origin of a defect in assembly units of an assembly type; accessing a feature map linking non-visual manufacturing features to physical locations within the assembly type; for each assembly unit, accessing an inspection image of the assembly unit recorded by an optical inspection station during production of the assembly unit, projecting the target location onto the inspection image, detecting visual features proximal the target location within the inspection image, and aggregating non-visual manufacturing features associated with locations proximal the target location and representing manufacturing inputs into the assembly unit based on the feature map; and calculating correlations between visual and non-visual manufacturing features associated with locations proximal the target location and the defect for the set of assembly units.

Method for monitoring manufacture of assembly units

Various embodiments for detecting and rejecting false, unintended rotations of rotary inputs of electronic devices are disclosed herein. In one example, an electronic device is provided with an optical detector that measures the distance between the electronic device and the wearer's forearm or hand, and when the distance is smaller than a threshold distance, the turns of the rotary input are false, unintended turns. In another example, a crown of a rotary input includes a plurality of capacitive sensors that detects the presence of a wearer's finger, which when absent, the turns of the rotary input are false turns. In another example, deflections or positions of a shaft of the rotary input are measured and if the deflections/positions indicate an upward force on the rotary input (which are likely caused by the wearer's forearm or hand), the turns of the rotary input are false turns. Other embodiments are described herein.

Rejection of false turns of rotary inputs for electronic devices

One variation of a method for automatically generating a common measurement across multiple assembly units includes: displaying a first image—recorded at an optical inspection station—within a user interface; receiving manual selection of a particular feature in a first assembly unit represented in the first image; receiving selection of a measurement type for the particular feature; extracting a first real dimension of the particular feature in the first assembly unit from the first image according to the measurement type; for each image in a set of images, identifying a feature—analogous to the particular feature—in an assembly unit represented in the image and extracting a real dimension of the feature in the assembly unit from the image according to the measurement type; and aggregating the first real dimension and a set of real dimensions extracted from the set of images into a digital container.

Methods for automatically generating a common measurement across multiple assembly units

Housing for an electronic device

One variation of an optical inspection kit includes: an enclosure defining an imaging volume; an optical sensor adjacent the imaging volume and defining a field of view directed toward the imaging volume; a nest module defining a receptacle configured to locate a surface of interest on a first unit of a first part within the imaging volume at an image plane of the optical sensor; a dark-field lighting module adjacent and perpendicular to the nest module and including a dark-field light source configured to output light across a light plane and a directional light filter configured to pass light output by the dark-field light source normal to the light plane and to reject light output by the dark-field light source substantially nonparallel to the light plane; and a bright-field light source proximal the optical sensor and configured to output light toward the surface of interest.

Modular optical inspection station

A power source is configured to supply power to one or more components of an electronic device. A processing device that is in communication with the power source can be configured to determine an estimated power requirement of the mobile electronic device during a time period, to determine a charge state of the power source, and to produce an indication of the remaining use time of the electronic device based on the estimated power requirement and the charge state of the power source.

Systems and methods for power consumption management

Growing community of inventors

Palo Alto, CA, United States of America

Samuel Bruce Weiss