3m Innovative Properties Company

Attenti Electronic Monitoring Ltd

James W Howard

James B Snyder

Justin M Johnson

Guruprasad Somasundaram

Jennifer Frances Schumacher

Travis L Potts

Deepti Pachauri

Jonathan Dale Gandrud

Arash Sangari

Eric C Lobner

David Solomon Segal

Robert W Shannon

Thomas J Dahlin

Saber Taghvaeeyan

Nicholas Andrew Asendorf

James L C Werness, Jr

Kenneth L Smith

Kui Chen-Ho

Suman K Patel

Himanshu Nayar

Gautam Singh

Nitsan Ben-Gal Nguyen

Mojtaba Kadkhodaie Elyaderani

James Bevan Snyder

Caroline M Ylitalo

Steven T Awiszus

Kiran S Kanukurthy

Neeraj Sharma

Glenn E Casner

Brian J Stankiewicz

Todd A Ballen

Tien Yi T H Whiting

Jeffrey D Janovec

Paul L Acito

Charles Allen Shaklee

Katja Hansen

Michael R Duoos

Jennifer F Schumacher

John Allen Wheatley

Mark A Roehrig

Michael E Hamerly

Kevin W Gotrik

Richard J Moore

Tadesse G Nigatu

Jonah Shaver

Onur Sinan Yordem

Claire R Donoghue

Muhammad Jamal Afridi

Joshua M Fishman

Del R Lawson

Jason M Patterson

Mark G Mathews

Elisa J Collins

Andrew W Long

Tony J Kaufman

Wesley M Barbee

Matthew Shannon

Eric J Larson

Panagiotis D Stanitsas

Johnathan R Graves

Ravi Raagav Srinivas

Billy L Weaver

Tamara M Meehan-Russell

Lingesh Venugopalappa

Carla H Barnes

Matthew M Shettel

Jerome Shanko, Jr

Tyler William Olson

Payas Tikotekar

A method and system for monitoring impairment indicators. The method includes, during a first time window, measuring a first movement signal related to movement of the person with a movement sensor associated with the person, and measuring a first biological signal of the person with a biological sensor attached to the person. The method further includes electronically storing at least one numerical descriptor derived from the first movement signal and at least one numerical descriptor derived from the first biological signal as reference data for the person. The method includes during a second time window, measuring a second signal related to movement of the person with the movement sensor, and measuring a second biological signal of the person with the biological sensor. The method further includes comparing at least one numerical descriptor derived from the second signal and at least one numerical descriptor derived from the second biological signal to the reference data to identify an impairment indicator.

Impairment detection with biological considerations

Embodiment herein provides an Infrastructure article () and method thereof for synchronizing blinks of infrastructure articles in a mesh network. The method includes detecting an expiry of a sync timer counted by a real time clock (RTC) and determining whether a charge level of a battery () of the infrastructure article () meets a battery charge threshold. When the charge level of the battery () of the infrastructure article () meets the battery charge threshold, the method includes establishing a connection with other infrastructure article and/or an infrastructure article server () in the mesh network, and sending a time to synchronize blink of the at least one light source () to all other infrastructure articles in the mesh network. When the charge level of the battery () of the infrastructure article () does not meet the battery charge threshold, the method includes resetting the sync timer, and initiating a count of the sync timer.

Infrastructure article system for synchronizing blinks of infrastructure articles connected in mesh network

A method for monitoring impairment indicators, the method includes measuring, with a movement sensor attached to the person, a first signal related to movement of a person during a first time window and electronically storing the at least one numerical descriptor derived from the first signal as reference data for the person. The method further includes measuring, with the movement sensor attached to the person, a second signal related to movement of the person during a second time window and comparing at least one numerical descriptor derived from the second signal to the reference data as a factor to identify an impairment indicator. The present disclosure also includes a device for monitoring impairment indicators.

Impairment detection

A system, wearable device and management device provided for predicting a flashover event. According to one aspect of the disclosure, a wearable device for predicting a flashover event is provided. The wearable device includes at least one thermal sensor configured to generate thermal data associated with an environment, and processing circuitry configured to: determine a risk of ignition of at least one combustible gas in the environment based on the thermal data, and trigger at least one action based on the determined risk of ignition.

System and method for risk classification and warning of flashover events

An optical system is disclosed and includes an optical sensor, a plurality of photosensitive pixels disposed on the optical sensor, a wavelength-selective optical filter in optical communication with the photosensitive pixels, the wavelength-selective optical filter being disposed remotely from the optical sensor, an area disposed in the wavelength-selective optical filter, the area having a transmission spectrum different from a transmission spectrum of a portion of the wavelength-selective optical filter not in the area and a reflector, the wavelength-selective optical filter and a measurement subject each being disposed between the reflector and the optical sensor along an optical path.

Sensor array spectrometer

In general, techniques are described for a personal protective equipment (PPE) management system (PPEMS) that uses images of optical patterns embodied on articles of personal protective equipment (PPEs) to identify safety conditions that correspond to usage of the PPEs. In one example, an article of personal protective equipment (PPE) includes a first optical pattern embodied on a surface of the article of PPE; a second optical pattern embodied on the surface of the article of PPE, wherein a spatial relation between the first optical pattern and the second optical pattern is indicative of an operational status of the article of PPE.

Personal protective equipment management system using optical patterns for equipment and safety monitoring

Systems and methods for image recognition are provided. A style-transfer neural network is trained for each real image to obtain a trained style-transfer neural network. The texture or style features of the real images are transferred, via the trained style-transfer neural network, to a target image to generate styled images which are used for training an image-recognition machine learning model (e.g., a neural network). In some cases, the real images are clustered and representative style images are selected from the clusters.

Neural style transfer for image varietization and recognition

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 selecting, by a coding computing device, a particular identifier from a set of identifiers generated by an identifier allocation authority, wherein the set of identifiers are included within a global set of identifiers maintained by the identifier allocation authority; coding, by the coding computing device, the particular identifier from the set of identifiers into an optical element set that represents an optical code comprising a plurality of finder optical elements arranged in a pattern to localize the optical code within an image, a plurality of context optical elements representing context information, and a plurality of content optical elements representing content information; and generating a visual output of the optical code that is decodable to the particular identifier which, in combination with at least one other parameter associated with the optical element set, comprises a globally unique identifier in a set of globally unique identifiers.

Identifier allocation for optical element sets in machine-read articles

The disclosure is directed to an article, such as a pathway article or a sheeting. The article includes a physical surface having a code embodied thereon. The code is associated with pathway information in transaction data stored by a blockchain managed by a consensus network of node. The pathway information indicates one or more characteristics of a vehicle pathway, wherein the pathway information provides at least one of: information descriptive of at least a portion of the vehicle pathway, or vehicle operation instructions associated with the portion of the vehicle pathway.

Pathway article authentication

A method and system for monitoring impairment indicators. The method comprises, during a first time window, measuring a first movement signal related to movement of a person with a movement sensor associated with the person, and measuring a first environmental signal with an environmental sensor. The method further comprises electronically storing at least one numerical descriptor derived from the first movement signal and the first environmental signal as reference data for the person. The method further includes, during a second time window, measuring a second movement signal related to movement of the person with the movement sensor and measuring a second environmental signal with the environmental sensor; and comparing at least one numerical descriptor derived from the second movement signal and the second environmental signal to the reference data to identify an impairment indicator.

Impairment detection with environmental considerations

A body-worn tracking device (BWTD) includes a global navigation satellite system (GNSS) device, at least one motion sensor, at least one processor, and at least one memory device. The at least one memory device includes instructions that, when executed by the at least one processor, cause the at least one processor to determine, based on data generated by the at least one motion sensor, a net distance between the last known location of the BWTD and a current location of the BWTD. The instructions further cause the at least one processor to determine, based on the net distance, whether the BWTD is within a bounded area that includes the last known location; and responsive to determining that BWTD is not within the bounded area, output an indication that the BWTD is not within the bounded area.

Geographic boundary compliance detection using body-worn offender monitoring electronic devices

An article includes a substrate having a physical surface, a multi-dimensional machine-readable code embodied on the physical surface, wherein the multi-dimensional machine-readable optical code includes a static data (SD) optical element set and a dynamic lookup data (DLD) optical element set. Each of the SD and the DLD sets are embodied on the physical surface. The DLD optical element set encodes a look-up value that references dynamically changeable data, wherein the SD optical element set encodes static data that does not reference other data. The DLD optical element set is not decodable at the distance greater than the threshold distance.

Multi-dimensional optical code with static data and dynamic lookup data optical element sets

In some examples, a computing device includes one or more computer processors, a communication device, and a memory comprising instructions that cause the one or more computer processors to: receive, using the communication device and from a set of vehicles, different sets of infrastructure data for a particular infrastructure article that is proximate to each respective vehicle of the set of vehicles, wherein each respective vehicle in the set of vehicles comprises at least one infrastructure sensor that generates infrastructure data descriptive of infrastructure articles that are proximate to the respective vehicle; determine, based at least in part on the different sets of infrastructure data for the particular infrastructure article from each respective vehicle of the set of vehicles, a quality metric for the infrastructure article; and perform at least one operation based at least in part on the quality metric for the infrastructure article.

Vehicle-sourced infrastructure quality metrics

Growing community of inventors

Circle Pines, MN, United States of America

James W Howard