公开(公告)号：US11250303B2

公开(公告)日：2022-02-15

申请号：US16336551

申请日：2017-09-27

Applicant: 3M INNOVATIVE PROPERTIES COMPANY

Inventor： James W. Howard ,  James B. Snyder ,  Travis L. Potts ,  Deepti Pachauri ,  Guruprasad Somasundaram ,  Justin M. Johnson ,  Tamara M. Meehan-Russell

IPC: G06K19/06

Abstract: 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.

公开(公告)号：US20210150205A1

公开(公告)日：2021-05-20

申请号：US16630658

申请日：2018-08-07

Applicant: 3M INNOVATIVE PROPERTIES COMPANY

Inventor： James B. Snyder ,  Justin M. Johnson ,  James W. Howard

IPC: G06K9/00 ,  G06K19/06 ,  G05D1/02

Abstract: 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.

公开(公告)号：US20210085221A1

公开(公告)日：2021-03-25

申请号：US17247343

申请日：2020-12-08

Applicant: 3M INNOVATIVE PROPERTIES COMPANY

Inventor： Eric C. Lobner ,  James W. Howard ,  Richard J. Moore ,  Jennifer F. Schumacher ,  Brian J. Stankiewicz

IPC: A61B5/11 ,  A61B5/00

Abstract: A device for recognizing activity of an object. The device comprises a housing configured to be attached to the object and a processing unit disposed in the housing comprising a processor and a movement sensor. The movement sensor measures a signal related to movement of the object during a time window. The processor assigns at least one preliminary activity label to the time window based on at least one numerical descriptor computed from the signal. The processor then determines whether to perform additional analysis dependent upon at least the preliminary activity label. The processor then assigns a final activity label to the time window.

公开(公告)号：US10896340B2

公开(公告)日：2021-01-19

申请号：US15754155

申请日：2016-08-19

Applicant: 3M INNOVATIVE PROPERTIES COMPANY

Inventor： Justin M. Johnson ,  James W. Howard ,  James B. Snyder ,  Thomas J. Dahlin

IPC: G06K9/20 ,  G06K9/32

Abstract: In some examples, a computing device receives an image of an optically active article that includes a set of one or more symbols of a symbol set, wherein at least one symbol of the set of one or more symbols comprises a set of encoding regions that are embedded with the symbol. In response to receiving the image, the computing device may determine that a particular image region of the image represents the at least one symbol. For encoding regions within the at least one symbol, the computing device may determine, based at least in part on the determination that the particular image region of the image represents the at least one symbol, whether the one or more encoding regions are active or inactive. The computing device may perform, based at least in part on whether the one or more encoding regions are active or inactive, one or more operations.

公开(公告)号：US10881327B2

公开(公告)日：2021-01-05

申请号：US15117943

申请日：2015-02-12

Applicant: 3M INNOVATIVE PROPERTIES COMPANY

Inventor： Eric C. Lobner ,  James W. Howard ,  Richard J. Moore ,  Jennifer F. Schumacher ,  Brian J. Stankiewicz

IPC: A61B5/11 ,  A61B5/00

Abstract: A device for recognizing activity of an object. The device has a housing configured to be attached to the object and a processing unit disposed in the housing has a processor and a movement sensor. The movement sensor measures a signal related to the movement of the object during a time window. The processor assigns at least one preliminary activity label to the time window based on at least one numerical descriptor computed from the signal. The processor then determines whether to perform additional analysis dependent upon at least the preliminary activity label. The processor then assigns a final activity label to the time window.

公开(公告)号：US20200034590A1

公开(公告)日：2020-01-30

申请号：US16335707

申请日：2017-09-27

Applicant: 3M INNOVATIVE PROPERTIES COMPANY

Inventor： James W. Howard ,  Justin M. Johnson ,  Travis L. Potts ,  Deepti Pachauri ,  James B. Snyder ,  Guruprasad Somasundaram

IPC: G06K7/14 ,  G06K19/06

Abstract: In some examples, an article includes a substrate, the substrate including a physical surface; a hierarchy of parent and child optical element sets embodied on the physical surface, wherein a first encoded value represented by the parent optical element set is based at least in part on a visual appearance of a particular optical element in the child optical element set, and a second encoded value represented by the particular optical element is based at least in part on the visual appearance, the first and second encoded values being different, and the second encoded value not being decodable from a distance greater than a threshold distance, the first encoded value being decodable from the distance greater than the threshold distance.

公开(公告)号：US20230376069A1

公开(公告)日：2023-11-23

申请号：US18031051

申请日：2021-10-22

Applicant: 3M INNOVATIVE PROPERTIES COMPANY

Inventor： Lingesh Venugopalappa ,  Justin M. Johnson ,  Eric J. Larson ,  James W. Howard ,  Mark G. Mathews

IPC: G06F1/14 ,  G06F1/10 ,  G01R31/382

CPC classification number: G06F1/14 ,  G06F1/105 ,  G01R31/382 ,  H04W84/18

Abstract: Embodiment herein provides an Infrastructure article (101) 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 (105) of the infrastructure article (101) meets a battery charge threshold. When the charge level of the battery (105) of the infrastructure article (101) meets the battery charge threshold, the method includes establishing a connection with other infrastructure article and/or an infrastructure article server (200) in the mesh network, and sending a time to synchronize blink of the at least one light source (106) to all other infrastructure articles in the mesh network. When the charge level of the battery (105) of the infrastructure article (101) does not meet the battery charge threshold, the method includes resetting the sync timer, and initiating a count of the sync timer.

公开(公告)号：US11816971B2

公开(公告)日：2023-11-14

申请号：US17291172

申请日：2019-11-13

Applicant: 3M INNOVATIVE PROPERTIES COMPANY

Inventor： Andrew Long ,  Panagiotis D. Stanitsas ,  Jerome Shanko, Jr. ,  Wesley M. Barbee ,  Matthew M. Shettel ,  Matthew Shannon ,  Johnathan R. Graves ,  James W. Howard ,  James B. Snyder ,  James L. C. Werness, Jr. ,  Jason Patterson ,  Ravi Raagav Srinivas ,  Payas Tikotekar

IPC: G08B21/16 ,  G01J5/00 ,  G06F18/24 ,  G06T7/00 ,  G06V20/20 ,  G08B17/06 ,  G08B17/117 ,  G08B17/12 ,  G06F1/24

CPC classification number: G08B21/16 ,  G01J5/00 ,  G06F1/24 ,  G06T7/97 ,  G06V20/20 ,  G08B17/06 ,  G08B17/117 ,  G08B17/12 ,  G01J2005/0077 ,  G06T2207/10048 ,  G06T2207/20084

Abstract: 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.

公开(公告)号：US11682185B2

公开(公告)日：2023-06-20

申请号：US17655178

申请日：2022-03-17

Applicant: 3M INNOVATIVE PROPERTIES COMPANY

Inventor： Caroline M. Ylitalo ,  Kui Chen-Ho ,  Paul L. Acito ,  Tien Yi T. H. Whiting ,  James B. Snyder ,  Travis L. Potts ,  James W. Howard ,  James L. C. Werness, Jr. ,  Suman K. Patel ,  Charles A. Shaklee ,  Katja Hansen ,  Glenn E. Casner ,  Kiran S. Kanukurthy ,  Steven T. Awiszus ,  Neeraj Sharma

IPC: G06K9/00 ,  G06V10/22 ,  G06K7/10 ,  G06K7/12 ,  G06T1/00 ,  G06V20/52 ,  G06V10/24

CPC classification number: G06V10/225 ,  G06K7/10722 ,  G06K7/12 ,  G06T1/0014 ,  G06V10/245 ,  G06V20/52

Abstract: 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.

公开(公告)号：US11631186B2

公开(公告)日：2023-04-18

申请号：US16634845

申请日：2018-07-25

Applicant: 3M INNOVATIVE PROPERTIES COMPANY

Inventor： Muhammad J. Afridi ,  Elisa J. Collins ,  Jonathan D. Gandrud ,  James W. Howard ,  Arash Sangari ,  James B. Snyder

IPC: G06T7/00 ,  G06T7/45 ,  G06N20/00 ,  G06N3/04 ,  G06F18/28 ,  G06F18/214

Abstract: 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.