3m Innovative Properties Company

Attenti Electronic Monitoring Ltd

Gautam Singh

Robert W Shannon

Jonathan Dale Gandrud

Guruprasad Somasundaram

Glenn E Casner

Caroline M Ylitalo

Arash Sangari

Kui Chen-Ho

Michael A McCoy

Travis L Potts

Deepti Pachauri

Nicholas Andrew Asendorf

James W Howard

Jennifer Frances Schumacher

Himanshu Nayar

David Solomon Segal

Shannon D Scott

Saber Taghvaeeyan

Alexandra R Cunliffe

John Allen Wheatley

Douglas Scott Dunn

Neeraj Sharma

Britton G Billingsley

Steven H Kong

Andrew H Tilstra

Nathan J Anderson

Timothy J Gardner

Ronald David Jesme

Christopher P Henderson

Nicholas T Gabriel

G Marco Bommarito

John M Kruse

James D Carlson

Brian J Stankiewicz

Anne C Gold

Muhammad Jamal Afridi

Nitsan Ben-Gal Nguyen

Silvia Geciova-Borovova Guttmann

James Bevan Snyder

Mojtaba Kadkhodaie Elyaderani

Claire R Donoghue

Andreas M Geldmacher

Charles Allen Shaklee

Jonathan T Kahl

Katja Hansen

Markus G W Lierse

Catherine L Aune

Maja Giese

Jason L Aveldson

Steven G Lucht

Justin Tungjunyatham

Adam C Nyland

William J Kelliher, Jr

Jae Yong Lee

Frank T Herfort

Karl Battle

Haleh Hagh-Shenas

Doug A Addleman

Rachneet Kaur

Michael L Gjere

Jacob E Odom

Elias Wilken-Resman

Benjamin W Watson

James William Howard

Augmented reality-based training systems that can dynamically construct and render AR content based on physical attributes of a user to train the user to correctly fit one or more articles of a personal protective equipment (PPE) onto the user's body. In some examples, an AR system includes a display and a computing device having a memory and one or more processors. The memory can include instructions that, when executed by the processors, simulate a fitting of PPE to a worker. The system can capture an image of a worker, select a digital model of the PPE, determine alignment of the PPE to the worker, and output for display augmented reality content that includes a composite image of the worker overlaid with the digital model of the PPE in accordance with the determined alignment.

Personal protective equipment training system with user-specific augmented reality content construction and rendering

The present disclosure includes in one instance an optical article comprising a data rich plurality of retroreflective elements that are configured in a spatially defined arrangement, where the plurality of retroreflective elements comprise retroreflective elements having at least two different retroreflective properties, and where data rich means information that is readily machine interpretable. The present disclosure also includes a system comprising the previously mentioned optical article, an optical system, and an inference engine for interpreting and classifying the plurality of retroreflective elements wherein the optical system feeds data to the inference engine.

Optical articles and systems interacting with the same

Optical articles including a spatially defined arrangement of a plurality of data rich retroreflective elements, wherein the plurality of retroreflective elements comprise retroreflective elements having at least two different retroreflective properties and at least two different optical contrasts with respect to a background substrate when observed within an ultraviolet spectrum, a visible spectrum, a near-infrared spectrum, or a combination thereof.

Systems and methods of path-based mapping and routing are provided. Translation information and absolute information of mobile objects in environments are determined based on a fusion of sensing data from a radar and an inertial measurement unit (IMU) including a gyroscope and an accelerometer, from which path-based maps and optimal routes can be generated.

Methods and systems for path-based mapping and routing

The present disclosure includes in one instance an optical article comprising a data rich plurality of retroreflective meats that are configured in a spatially defined arrangement, where the plurality of retroreflective elements comprise retroreflective elements having at least two different retroreflective properties, and where data rich means information that is readily machine interpretable. The present disclosure also includes a system comprising the previously mentioned optical article, an optical system, and an inference engine for interpreting and classifying the plurality of retroreflective elements wherein the optical system feeds data to the inference engine.

Example techniques of this disclosure are directed determining one or more values that represent a monitoring attribute for one or more body-worn tracking devices (BWTDs). In some instances, the techniques include determining a compliance metric that represents a level of compliance for at least one offender. That is, the compliance metric may be a quantitative value that represents whether a user wearing BWTD is complying with established rules or desired behaviors.

Compliance metrics for offender monitoring devices

In some examples, a method includes determining, by a computing device, a plurality of regions of interest of an image for independently processing relative to a plane of interest; determining, by the computing device and for respective regions of interest of the plurality of regions of interest, a distance from objects within the respective regions of interest to the plane of interest; and processing, by the computing device and independently for the respective regions of interest, the respective regions of interest of the image based on the determined distance from the objects to the plane of interest.

Independently processing plurality of regions of interest

Aspects of the present disclosure related to a computer system and method for analyzing whether a package has been opened. The system includes a memory and one or more processors communicatively coupled to the memory and can be configured to receive an image corresponding to a wrapped package. The one or more processors can also be configured to generate a set of feature values based on a visual representation of the wrapped package in the image. The one or more processors can also be configured to apply the set of feature values to at least one model that is trained based at least in part on a set of images that include the wrapped package having the status, to determine the status of the wrapped package.

Vision system for status detection of wrapped packages

In an example, a system comprises at least one body-worn tracking device (BWTD) configured to transmit location data that indicates a location of the BWTD and a computing system configured to communicate with the at least one BWTD. The computing system is configured to receive the location data from the at least one BWTD, determine, based on a set of weighted filters associated with at least one monitoring attribute, at least one gradient value corresponding to the location data, where the at least one gradient value represents a level of the at least one monitoring attribute, and perform at least one operation based on the at least one gradient value.

Characterizing monitoring attributes for offender monitoring

In some examples, an article includes a substrate having a surface; a parent optical element set comprising one or more parent optical elements disposed on the surface of the substrate, a child optical element set comprising one or more child optical elements disposed on the surface of the substrate. Each of the parent optical elements has a first retroreflective property and each of the child optical elements has a second retroreflective property different from the first retroreflective property.

Retroreflective multiscale codes

Growing community of inventors

Woodbury, MN, United States of America

Gautam Singh