Hewlett-packard Development Company, L.p.

Guy Adams

Steven J Simske

Stephen Bernard Pollard

Jason S Aronoff

Fred Charles Thomas, Iii

Malgorzata M Sturgill

Paul S Everest

Derek J Lukasik

James William Stasiak

Alejandro Manuel De Pena

Maurizio Pilu

Stephan R Clark

Marie Vans

Luis Garcia Garcia

Pol Fornos

Cary G Addington

Barry T Phillips

Brad Benson

Andrew Mackenzie

Melvyn Smith

Angus Wu

Lyndon Smith

Daniel I Croft

Hossein Malekmohamadi

Khemraj Emrith

Faisal Azhar

Alper Oktar

Pantelis Katsiaris

An object ID-centered workflow method utilizes an object identifier (ID) associated with an object. Forensic identification of serialization elements of the object ID enables access to a registry of workflows.

Object ID-centered workflow

A method comprises moving a robotic structure to a first pose such that an end-effector of the robotic structure has an absolute position comprising an absolute location and absolute orientation. The method comprises providing a calibration artefact on the end-effector. The method comprises determining at least three planes coinciding with at least three respective surface planes of the calibration artefact, by measuring absolute locations of a plurality of points on the calibration artefact. The method comprises determining the absolute location and absolute orientation of the end-effector, when the robotic structure is in the position based on the determined at least three planes. The method also comprises calibrating the first pose of the robotic structure using the determined absolute location and absolute orientation of the end-effector.

Robotic structure calibrations

A surface including: a plurality of visually detectable marks, wherein the visually detectable marks include: a first group of grid marks forming a grid and a second group of information marks encoding information based on positions of information marks of the second group of marks relative to the data page, wherein grid marks are less than 45% of the visually detectable marks on the surface.

Surfaces with embedded information

An example system includes a standardized production portion to provide a set of standardized components and a customized production portion to provide a set of customized components. Each standardized component of the set of standardized components is substantially identical to one another, and each customized component of the set of customized components is selected from at least two different custom options. Each customized component includes at least a first portion of a customized part and an associated descriptor. Each customized component is physically coupled to a standardized component.

Customized production

A surface including: multiple data pages, wherein each data page includes: multiple optically detectable marks indicating boundaries of the data page; and an array of data cells, wherein a location of an optically detectable mark in a data cell of the array of data cells encodes information and adjacent data pages use different encoding patterns such that an encoded value would be represented by a first pattern of marks on a first data page and the same encoded value would be represented by a second, different pattern of marks on a second data page.

Surfaces with information marks

A method is disclosed. The method comprises defining a region of interest on a three-dimensional model of an object. The method may comprise capturing an image of an object manufactured according to the three-dimensional model. The method may comprise determining, using a processor, a position and orientation of the three-dimensional model with respect to the object in the captured image. The method may comprise locating the region of interest on the manufactured object. A portion of the manufactured object within the region of interest may comprise an identifiable feature. An apparatus and a machine-readable medium are also disclosed.

Locating a region of interest on an object

An example system includes a feature extraction engine. The feature extraction engine is to determine a plurality of scale-dependent features for a portion of a target. The system also includes a signature-generation engine to select a subset of the plurality of scale-dependent features based on a strength of each feature. The signature-generation engine also is to store a numeric representation of the portion of the target and the subset of the plurality of scale-dependent features.

Signature authentications based on features

A system for determining the surface structure of an object, the system comprising a first assembly including an illumination source, and a binary mask to generate a binary pattern, the binary mask disposed between the illumination source and a defocusing element to modify the binary pattern to provide a continuously modulated fringe pattern to illuminate the surface of the object.

Determining surface structures of objects

Examples disclosed herein relate to creating a surface identifier using a shape memory material. In one implementation, a processor determines a first property value of the surface identifier associated with a first phase and a second property value of the surface identifier associated with a second phase. A manufacturing device may create a surface identifier using a shape memory material. In one implementation, the surface identifier is created in a manner that causes the surface identifier to exhibit the first property value when the shape memory material is in a first phase and to exhibit the second property value when the shape memory material is in a second phase.

Create a surface identifier using a shape memory material

Methods of generating a three-dimensional object with an additive manufacturing system are described. The method includes depositing a build material within a working area, thereby providing a build material layer, selectively depositing a fusing agent onto a portion of the build material layer, applying energy from a bulk-fusion energy source to the working area, thereby fusing at least a portion of the build material where the fusing agent is deposited, and applying energy from a focused energy source to one or more localized areas of the working area.

Hybrid fusion system

Digital signature authentication systems and methods are disclosed. An example method of authenticating a digital signature extracted from a high resolution image includes comparing an extracted signature from an image to a reference signature. The example method also includes authenticating the extracted signature against the reference signature according to one of a plurality of different authentication protocols.

Digital signature authentication

Examples disclosed herein relate to classifying paper based on three-dimensional characteristics of the paper. For example, a representation of the three-dimensional characteristics of the paper may be created, and statistical summary information related to the three-dimensional characteristics of the paper may be determined based on the representation. The paper may be classified based on the statistical summary information.

Paper classification based on three-dimensional characteristics

A series of images of an object are captured using illumination sources. The series of images correspond to different relative orientations of the object and the illumination sources. A forensic signature for the object is generated using one or more of the series of images. The forensic signature is unique to the object.

Forensic signature

A method for calibrating a digital stylus comprising imaging a portion of a calibration pattern area of a data encoding pattern using an imaging module of the stylus in order to generate calibration data representing an error in alignment for the stylus, and using the calibration data to adjust subsequent measurements from the stylus in order to compensate for the error.

Growing community of inventors

Bristol, United Kingdom

Guy Adams