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1.发明授权公开(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.
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公开(公告)号：US20210267488A1
公开(公告)日：2021-09-02
申请号：US17252415
申请日：2019-07-01
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Saber Taghvaeeyan , Golshan Golnari , Mojtaba Kadkhodaie Elyaderani , Robert W. Shannon , Roger W. Barton , Deepti Pachauri
Abstract: Systems and methods for detecting the quality of signals captured by a sensor device monitoring a biological function. Sensor data associated with the sensor device is received, the sensor data representing time-series measurement samples of one or more parameters associated with the biological function, the sensor data including usable and unusable samples of the time-series measurements. Data representing two or more features of samples of the time-series measurements is extracted and filtered to reduce outliers in the extracted data based on an expected outlier ratio. A machine learning algorithm is then trained to identify events based on the filtered extracted data.
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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
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.
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公开(公告)号：US20170169562A1
公开(公告)日：2017-06-15
申请号：US14965033
申请日：2015-12-10
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Guruprasad Somasundaram , Ravishankar Sivalingam , Evan J. Ribnick , Kevin S. Xu , Deepti Pachauri
CPC classification number: G06T7/0012 , A61B5/0088 , A61C9/0053 , G06K9/00214 , G06K9/32 , G06K9/4628 , G06K9/6267 , G06K9/6271 , G06K9/66 , G06T2207/10012 , G06T2207/30036
Abstract: Methods for recognizing or identifying tooth types using digital 3D models of teeth. The methods include receiving a segmented digital 3D model of teeth and selecting a digital 3D model of a tooth from the segmented digital 3D model. An aggregation of the plurality of distinct features of the tooth is computed to generate a single feature describing the digital 3D model of the tooth. A type of the tooth is identified based upon the aggregation, which can include comparing the aggregation with features corresponding with known tooth types. The methods also include identifying a type of tooth, without segmenting it from an arch, based upon tooth widths and a location of the tooth within the arch.
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公开(公告)号：US20230213426A1
公开(公告)日：2023-07-06
申请号：US17998979
申请日：2021-05-20
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Aloka Khanna , Deepti Pachauri , Michael L. Munson
CPC classification number: G01N15/06 , G01N15/0205 , G01N2015/0693
Abstract: A method and system of determining air quality are disclosed. In examples, a method comprises identifying one or more aerosol particle types based on an absorbance spectra of aerosol particles captured on a filter and determining a mass concentration of each of the one or more aerosol particle types based on the absorbance spectra and the aerosol particle type. The method further comprises detecting a median particle size of each of the one or more aerosol particle types based on a rate of change of the absorbance spectra and the aerosol particle type. The method further comprises determining an air quality metric based on the identified one or more aerosol particle types, the determined mass concentration of each of the one or more aerosol particle types, and the determined median particle size of each of the one or more aerosol particle types.
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Patent Agency Ranking
公开(公告)号：US20220243943A1
公开(公告)日：2022-08-04
申请号：US17605393
申请日：2020-04-22
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Saber Taghvaeeyan , Robert W. Shannon , Deepti Pachauri , Brian L. Linzie , Golshan Golnari , Mojtaba Kadkhodaie Elyaderani , Nicolas A. Echeverri
IPC: F24F11/39 , F24F11/58 , F24F11/63 , G05B19/042
Abstract: Systems and methods for monitoring the condition of an air filter installed in an HVAC system and for monitoring the condition of the HVAC system. The monitoring system includes a processing unit configured to receive data representative of at least a first temporal parameter of the HVAC system. The processing unit can process the data to obtain an indication of the condition of the air filter and can also process the data to obtain an indication of the condition of the HVAC system.
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公开(公告)号：US12023149B2
公开(公告)日：2024-07-02
申请号：US17252415
申请日：2019-07-01
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Saber Taghvaeeyan , Golshan Golnari , Mojtaba Kadkhodaie Elyaderani , Robert W. Shannon , Roger W. Barton , Deepti Pachauri
CPC classification number: A61B5/113 , A61B5/7225 , A61B5/7267 , A61B5/7282
Abstract: Systems and methods for detecting the quality of signals captured by a sensor device monitoring a biological function. Sensor data associated with the sensor device is received, the sensor data representing time-series measurement samples of one or more parameters associated with the biological function, the sensor data including usable and unusable samples of the time-series measurements. Data representing two or more features of samples of the time-series measurements is extracted and filtered to reduce outliers in the extracted data based on an expected outlier ratio. A machine learning algorithm is then trained to identify events based on the filtered extracted data.
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8.发明公开公开(公告)号：US20230343040A1
公开(公告)日：2023-10-26
申请号：US17998820
申请日：2021-05-05
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Claire R. Donoghue , Christopher P. Henderson , Benjamin W. Watson , Caroline M. Ylitalo , Gautam Singh , Alexandra R. Cunliffe , Deepti Pachauri , Jonathan D. Gandrud
CPC classification number: G06T19/006 , G06T19/20 , G06T13/40 , G06V10/50 , G06V40/161 , G06V40/171 , A62B27/00 , G06T2219/2004 , G06T2219/2016
Abstract: Augmented reality-based training systems are described that 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 includes instructions that when executed by the processors simulate a fitting of a PPE to a worker by capturing at least a first image of the worker; selecting a digital model of the PPE; determining an alignment of the digital model of the PPE to the first image of the worker; and outputting for display augmented reality content comprising a composite of a least a second image of the worker overlaid with the digital model of the PPE in accordance with the determined alignment.
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公开(公告)号：US20220054234A1
公开(公告)日：2022-02-24
申请号：US17413652
申请日：2019-12-24
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Alexandra R. Cunliffe , Benjamin D. Zimmer , Guruprasad Somasundaram , Deepti Pachauri , Jonathan D. Gandrud , Arash Sangari , Shawna L. Thomas , Nancy M. Amato
Abstract: Methods for automatically removing collisions between digital mesh objects and moving digital mesh objects between spatial arrangements. The collisions are removed from a set of digital mesh objects using a perturbation method or a mesh deformation method. After removing the collisions, the digital mesh objects are output in a state without collisions between them. The digital mesh objects can be moved between initial and final states based upon motion constraints of the mesh objects and interpolated states of them between the initial and final states. Based upon the constraints and interpolated states, a number of states for movement of the set of digital mesh objects is determined either collectively for the set or individually for each mesh object. The states can be used as digital setups for dental or orthodontic treatment planning.
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公开(公告)号：US10032271B2
公开(公告)日：2018-07-24
申请号：US14965033
申请日：2015-12-10
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Guruprasad Somasundaram , Ravishankar Sivalingam , Evan J. Ribnick , Kevin S. Xu , Deepti Pachauri
Abstract: Methods for recognizing or identifying tooth types using digital 3D models of teeth. The methods include receiving a segmented digital 3D model of teeth and selecting a digital 3D model of a tooth from the segmented digital 3D model. An aggregation of the plurality of distinct features of the tooth is computed to generate a single feature describing the digital 3D model of the tooth. A type of the tooth is identified based upon the aggregation, which can include comparing the aggregation with features corresponding with known tooth types. The methods also include identifying a type of tooth, without segmenting it from an arch, based upon tooth widths and a location of the tooth within the arch.
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