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21.
公开(公告)号:US20200042849A1
公开(公告)日:2020-02-06
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: In some examples, an article includes a substrate that having a physical surface; a multi-dimensional machine-readable code embodied on the physical surface, wherein the multi-dimensional machine-readable optical code comprises a static data (SD) optical element set and a dynamic lookup data (DLD) optical element set, each set embodied on the physical surface, wherein 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, wherein the DLD optical element set is not decodable at the distance greater than the threshold distance.
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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.
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23.
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
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.
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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
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.
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公开(公告)号:US11386540B2
公开(公告)日:2022-07-12
申请号:US16498621
申请日:2018-03-22
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor: Jennifer F. Schumacher , James B. Snyder , Nicholas A. Asendorf
Abstract: Systems and methods for authenticating material samples are provided. Digital images of the samples are processed to extract computer-vision features, which are used to train a classification algorithm. The computer-vision features of a test sample are evaluated by the trained classification algorithm to identify the test sample.
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26.
公开(公告)号:US20220215665A1
公开(公告)日:2022-07-07
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
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.
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公开(公告)号:US11361562B2
公开(公告)日:2022-06-14
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
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.
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28.
公开(公告)号:US20200279116A1
公开(公告)日:2020-09-03
申请号:US16649292
申请日:2018-09-12
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
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.
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公开(公告)号:US20200219274A1
公开(公告)日:2020-07-09
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
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 N model (e.g., a neural network). In some cases, the real images are clustered and representative style images are selected from the clusters.
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