Quidient, LLC

United States of America

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IPC Class
G06T 7/557 - Depth or shape recovery from multiple images from light fields, e.g. from plenoptic cameras 7
G06T 9/40 - Tree coding, e.g. quadtree, octree 7
G06T 15/08 - Volume rendering 3
G06T 15/20 - Perspective computation 3
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NICE Class
09 - Scientific and electric apparatus and instruments 7
42 - Scientific, technological and industrial services, research and design 6
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Pending 5
Registered / In Force 14

1.

Systems and Methods for Reconstructing Scenes to Disentangle Light and Matter Fields

      
Application Number 18422754
Status Pending
Filing Date 2024-01-25
First Publication Date 2024-05-23
Owner QUIDIENT, LLC (USA)
Inventor
  • Ackerson, David Scott
  • Meagher, Donald J.
  • Leffingwell, John K.
  • Daniilidis, Kostas

Abstract

A stored volumetric scene model of a real scene is generated from data defining digital images of a light field in a real scene containing different types of media. The digital images have been formed by a camera from opposingly directed poses and each digital image contains image data elements defined by stored data representing light field flux received by light sensing detectors in the camera. The digital images are processed by a scene reconstruction engine to form a digital volumetric scene model representing the real scene. The volumetric scene model (i) contains volumetric data elements defined by stored data representing one or more media characteristics and (ii) contains solid angle data elements defined by stored data representing the flux of the light field. Adjacent volumetric data elements form corridors, at least one of the volumetric data elements in at least one corridor represents media that is partially light transmissive. The constructed digital volumetric scene model data is stored in a digital data memory for subsequent uses and applications.

IPC Classes  ?

  • G06T 15/08 - Volume rendering
  • G06T 7/00 - Image analysis
  • G06T 7/557 - Depth or shape recovery from multiple images from light fields, e.g. from plenoptic cameras
  • G06T 9/00 - Image coding
  • G06T 9/40 - Tree coding, e.g. quadtree, octree
  • G06T 15/20 - Perspective computation
  • H04N 13/111 - Transformation of image signals corresponding to virtual viewpoints, e.g. spatial image interpolation

2.

Codec for processing scenes of almost unlimited detail

      
Application Number 18514340
Grant Number 12217389
Status In Force
Filing Date 2023-11-20
First Publication Date 2024-03-14
Grant Date 2025-02-04
Owner QUIDIENT, LLC (USA)
Inventor
  • Ackerson, David Scott
  • Meagher, Donald J.
  • Leffingwell, John K.

Abstract

Methods and apparatus for systems using a scene codec are described, where systems are either providers or consumers of multi-way, just-in-time, only-as-needed scene data including subscenes and subscene increments. An example system using a scene codec includes a plenoptic scene database containing one or more digital models of scenes, where representations and organization of representations are distributable across multiple systems such that collectively the multiplicity of systems can represent scenes of almost unlimited detail. The system may further include highly efficient means for the processing of these representation and organizations of representation providing the just-in-time, only-as-needed subscenes and scene increments necessary for ensuring a maximally continuous user experience enabled by a minimal amount of newly provided scene information, where the highly efficient means include a spatial processing unit.

IPC Classes  ?

  • G06T 3/4092 - Image resolution transcoding, e.g. by using client-server architectures
  • G06T 3/067 - Reshaping or unfolding 3D tree structures onto 2D planes
  • G06T 3/4076 - Scaling of whole images or parts thereof, e.g. expanding or contracting based on super-resolution, i.e. the output image resolution being higher than the sensor resolution using the original low-resolution images to iteratively correct the high-resolution images
  • G06T 9/40 - Tree coding, e.g. quadtree, octree
  • G06T 19/00 - Manipulating 3D models or images for computer graphics

3.

SYSTEMS AND METHODS FOR GENERALIZED SCENE RECONSTRUCTION

      
Application Number US2023014734
Publication Number 2023/172573
Status In Force
Filing Date 2023-03-07
Publication Date 2023-09-14
Owner QUIDIENT, LLC (USA)
Inventor
  • Ackerson, David Scott
  • Leffingwell, John
  • Rablau, Alexandru
  • Diamond, Stara
  • Green, Brett-Michael Thomas
  • Mcbride, Philip Anthony
  • Kakde, Sakshi Madan

Abstract

Various embodiments of the disclosure are directed to a scene reconstruction and machine learning system. In embodiments, the system comprises a storage medium configured to store image data, one or more scene models, one or more relightable matter fields, and information related to a machine learning model. In one or more embodiments, the system comprises an input circuit configured to receive image data characterizing light in a scene. In embodiments the system includes a processor. In embodiments the processor configured to reconstruct a scene model representing the scene using the image data. In embodiments the processor is configured to extract a relightable matter field from the scene model representing the object, store the scene model and the relightable matter field representing the object in the storage medium, apply the relightable matter field as an input to the machine learning model, and generate an output from the machine learning model.

IPC Classes  ?

  • G06T 7/557 - Depth or shape recovery from multiple images from light fields, e.g. from plenoptic cameras
  • G06T 15/50 - Lighting effects

4.

SYSTEMS AND METHODS FOR GENERALIZED SCENE RECONSTRUCTION

      
Application Number 18118601
Status Pending
Filing Date 2023-03-07
First Publication Date 2023-09-07
Owner Quidient, LLC (USA)
Inventor
  • Ackerson, David Scott
  • Leffingwell, John
  • Rablau, Alexandru
  • Diamond, Stara
  • Green, Brett-Michael Thomas
  • Mcbride, Philip Anthony
  • Kakde, Sakshi Madan

Abstract

Various embodiments of the disclosure are directed to a scene reconstruction and machine learning system. In embodiments, the system comprises a storage medium configured to store image data, one or more scene models, one or more relightable matter fields, and information related to a machine learning model. In one or more embodiments, the system comprises an input circuit configured to receive image data characterizing light in a scene. In embodiments the system includes a processor. In embodiments the processor configured to reconstruct a scene model representing the scene using the image data. In embodiments the processor is configured to extract a relightable matter field from the scene model representing the object, store the scene model and the relightable matter field representing the object in the storage medium, apply the relightable matter field as an input to the machine learning model, and generate an output from the machine learning model.

IPC Classes  ?

  • G06V 10/60 - Extraction of image or video features relating to illumination properties, e.g. using a reflectance or lighting model
  • G06V 10/762 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks
  • G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
  • G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks

5.

PORT IT

      
Serial Number 97295875
Status Registered
Filing Date 2022-03-04
Registration Date 2024-03-05
Owner Quidient, LLC ()
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

Downloadable or recorded computer programs, computer software and computer firmware, and computer hardware, all for extracting information from image or camera data; downloadable or recorded computer programs, computer software and computer firmware, and computer hardware, all for creating or transferring an electronic representation of one or more objects or scenes to a virtual environment including a metaverse, virtual reality world, digital twin environment and extended reality virtual environment Design, development, and consulting services related thereto in the field of computer programs, computer software, computer firmware, and computer hardware all for extracting information from image or camera data; research, design, development and consulting services in the field of artificial intelligence and visual cognition as it relates to processing image or camera data; design, development, and consulting services related thereto in the field of computer programs, computer software, computer firmware, and computer hardware all for creating or transferring an electronic representation of one or more objects or scenes to a virtual environment including a metaverse, virtual reality world, digital twin environment and extended reality virtual environment; research, design, development and consulting services in the field of artificial intelligence and visual cognition as it relates to creating or transferring an electronic representation of one or more objects or scenes to a virtual environment including a metaverse, virtual reality world, digital twin environment and extended reality virtual environment

6.

PORTALING

      
Serial Number 97295937
Status Registered
Filing Date 2022-03-04
Registration Date 2023-06-13
Owner Quidient, LLC ()
NICE Classes  ? 09 - Scientific and electric apparatus and instruments

Goods & Services

Downloadable or recorded computer programs, computer software and computer firmware, and computer hardware, all for extracting information from image or camera data; downloadable or recorded computer programs, computer software and computer firmware, and computer hardware, all for creating or transferring an electronic representation of one or more objects or scenes to a virtual environment including a metaverse, virtual reality world, digital twin environment and extended reality virtual environment

7.

REALITY PORTAL

      
Serial Number 97102055
Status Pending
Filing Date 2021-11-01
Owner Quidient, LLC ()
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

Downloadable or recorded computer programs for use in extracting information from camera data; Downloadable or recorded computer software for use in extracting information from camera data; Downloadable or recorded computer firmware for use in extracting information from camera data; Computer hardware for use in extracting information from camera data Providing access to temporary, online non-downloadable, computer programs for use in extracting information from camera data; Providing access to temporary, online non-downloadable computer software for use in extracting information from camera data; Design, development, and consulting services related thereto in the field of computer programs, computer software, computer firmware, and computer hardware all for extracting information from camera data; research and development in the field of artificial intelligence and visual cognition as it relates to processing camera data

8.

Codec for processing scenes of almost unlimited detail

      
Application Number 17051951
Grant Number 11875476
Status In Force
Filing Date 2019-05-02
First Publication Date 2021-05-06
Grant Date 2024-01-16
Owner QUIDIENT, LLC (USA)
Inventor
  • Ackerson, David Scott
  • Meagher, Donald J.
  • Leffingwell, John K

Abstract

Methods and apparatus for systems using a scene codec are described, where systems are either providers or consumers of multi-way, just-in-time, only-as-needed scene data including subscenes and subscene increments. An example system using a scene codec includes a plenoptic scene database containing one or more digital models of scenes, where representations and organization of representations are distributable across multiple systems such that collectively the multiplicity of systems can represent scenes of almost unlimited detail. The system may further include highly efficient means for the processing of these representation and organizations of representation providing the just-in-time, only-as-needed subscenes and scene increments necessary for ensuring a maximally continuous user experience enabled by a minimal amount of newly provided scene information, where the highly efficient means include a spatial processing unit.

IPC Classes  ?

  • G06T 3/40 - Scaling of whole images or parts thereof, e.g. expanding or contracting
  • G06T 3/00 - Geometric image transformations in the plane of the image
  • G06T 9/40 - Tree coding, e.g. quadtree, octree
  • G06T 19/00 - Manipulating 3D models or images for computer graphics

9.

QUIDIENT REALITY

      
Serial Number 90135479
Status Registered
Filing Date 2020-08-25
Registration Date 2021-11-30
Owner Quidient, LLC ()
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

Downloadable computer programs for extracting information from camera data; Recorded computer programs for extracting information from camera data; Downloadable computer software for extracting information from camera data; Recorded computer software for extracting information from camera data; Downloadable computer firmware for extracting information from camera data; Recorded computer firmware for extracting information from camera data; Computer hardware for use in extracting information from camera data Providing an interactive website featuring technology that enables users to access downloadable, recorded and temporary, online non-downloadable, computer programs for use in extracting information from camera data; Providing an interactive website featuring technology that enables users to access downloadable, recorded and temporary, online non-downloadable computer software for use in extracting information from camera data; Design, development, and consulting services related thereto in the field of computer programs, computer software, computer firmware, and computer hardware all for extracting information from camera data; research and development in the field of artificial intelligence and visual cognition as it relates to processing camera data

10.

Quotidian scene reconstruction engine

      
Application Number 16684231
Grant Number 11508115
Status In Force
Filing Date 2019-11-14
First Publication Date 2020-03-12
Grant Date 2022-11-22
Owner QUIDIENT, LLC (USA)
Inventor
  • Ackerson, David Scott
  • Meagher, Donald J.
  • Leffingwell, John K.
  • Daniilidis, Kostas

Abstract

A stored volumetric scene model of a real scene is generated from data defining digital images of a light field in a real scene containing different types of media. The digital images have been formed by a camera from opposingly directed poses and each digital image contains image data elements defined by stored data representing light field flux received by light sensing detectors in the camera. The digital images are processed by a scene reconstruction engine to form a digital volumetric scene model representing the real scene. The volumetric scene model (i) contains volumetric data elements defined by stored data representing one or more media characteristics and (ii) contains solid angle data elements defined by stored data representing the flux of the light field. Adjacent volumetric data elements form corridors, at least one of the volumetric data elements in at least one corridor represents media that is partially light transmissive. The constructed digital volumetric scene model data is stored in a digital data memory for subsequent uses and applications.

IPC Classes  ?

  • G06T 15/08 - Volume rendering
  • G06T 7/557 - Depth or shape recovery from multiple images from light fields, e.g. from plenoptic cameras
  • H04N 13/111 - Transformation of image signals corresponding to virtual viewpoints, e.g. spatial image interpolation
  • G06T 9/40 - Tree coding, e.g. quadtree, octree
  • G06T 9/00 - Image coding
  • G06T 7/00 - Image analysis
  • G06T 15/20 - Perspective computation
  • H04N 5/76 - Television signal recording
  • H04N 5/232 - Devices for controlling television cameras, e.g. remote control
  • G06T 17/00 - 3D modelling for computer graphics

11.

FINAL FRONTIER OF PHOTOGRAPHY

      
Serial Number 88739525
Status Registered
Filing Date 2019-12-26
Registration Date 2022-05-24
Owner Quidient, LLC ()
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

Downloadable or recorded computer programs for use in extracting information from camera data; Downloadable or recorded computer software for use in extracting information from camera data; Downloadable or recorded computer firmware for use in extracting information from camera data; Computer hardware for use in extracting information from camera data Providing access to temporary, online non-downloadable, computer programs for use in extracting information from camera data; Providing access to temporary, online non-downloadable computer software for use in extracting information from camera data; Design, development, and consulting services related thereto in the field of computer programs, computer software, computer firmware, and computer hardware all for extracting information from camera data; research and development in the field of artificial intelligence and visual cognition as it relates to processing camera data

12.

A CODEC FOR PROCESSING SCENES OF ALMOST UNLIMITED DETAIL

      
Document Number 03097202
Status Pending
Filing Date 2019-05-02
Open to Public Date 2019-11-07
Owner QUIDIENT, LLC (USA)
Inventor
  • Ackerson, David Scott
  • Meagher, Donald J.
  • Leffingwell, John K.

Abstract

Methods and apparatus for systems using a scene codec are described, where systems are either providers or consumers of multi-way, just-in-time, only-as-needed scene data including subscenes and subscene increments. An example system using a scene codec comprises aplenoptic scene database containing one or more digital models of scenes, where representations and organization of representations are distributable across multiple systems such that collectively the multiplicity of systems can represent scenes of almost unlimited detail. The system may further include highly efficient means for the processing of these representation and organizations of representation providing the just-in-time, only- as-needed subscenes and scene increments necessary for ensuring a maximally continuous user experience enabled by a minimal amount of newly provided scene information, where the highly efficient means include a spatial processing unit.

IPC Classes  ?

  • H04N 19/96 - Tree coding, e.g. quad-tree coding
  • H04N 21/23 - Processing of content or additional dataElementary server operationsServer middleware
  • H04N 19/136 - Incoming video signal characteristics or properties

13.

A CODEC FOR PROCESSING SCENES OF ALMOST UNLIMITED DETAIL

      
Application Number US2019030483
Publication Number 2019/213450
Status In Force
Filing Date 2019-05-02
Publication Date 2019-11-07
Owner QUIDIENT, LLC (USA)
Inventor
  • Ackerson, David, Scott
  • Meagher, Donald, J.
  • Leffingwell, John, K.

Abstract

Methods and apparatus for systems using a scene codec are described, where systems are either providers or consumers of multi-way, just-in-time, only-as-needed scene data including subscenes and subscene increments. An example system using a scene codec comprises aplenoptic scene database containing one or more digital models of scenes, where representations and organization of representations are distributable across multiple systems such that collectively the multiplicity of systems can represent scenes of almost unlimited detail. The system may further include highly efficient means for the processing of these representation and organizations of representation providing the just-in-time, only- as-needed subscenes and scene increments necessary for ensuring a maximally continuous user experience enabled by a minimal amount of newly provided scene information, where the highly efficient means include a spatial processing unit.

IPC Classes  ?

  • G06T 7/12 - Edge-based segmentation
  • G06T 7/149 - SegmentationEdge detection involving deformable models, e.g. active contour models
  • G06T 7/44 - Analysis of texture based on statistical description of texture using image operators, e.g. filters, edge density metrics or local histograms
  • G06T 7/521 - Depth or shape recovery from laser ranging, e.g. using interferometryDepth or shape recovery from the projection of structured light
  • G06T 7/557 - Depth or shape recovery from multiple images from light fields, e.g. from plenoptic cameras
  • G06T 7/586 - Depth or shape recovery from multiple images from multiple light sources, e.g. photometric stereo

14.

BEHIND THE SCENES

      
Serial Number 88663962
Status Registered
Filing Date 2019-10-22
Registration Date 2022-01-25
Owner Quidient, LLC ()
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

Downloadable or recorded computer programs for use in extracting information from camera data; Downloadable or recorded computer software for use in extracting information from camera data; Downloadable or recorded computer firmware for use in extracting information from camera data; Computer hardware for use in extracting information from camera data Providing access to temporary, online non-downloadable, computer programs for use in extracting information from camera data; Providing access to temporary, online non-downloadable computer software for use in extracting information from camera data; Design, development, and consulting services related thereto in the field of computer programs, computer software, computer firmware, and computer hardware all for extracting information from camera data; research and development in the field of artificial intelligence and visual cognition as it relates to processing camera data

15.

Quotidian scene reconstruction engine

      
Application Number 16089064
Grant Number 10521952
Status In Force
Filing Date 2017-04-11
First Publication Date 2019-05-02
Grant Date 2019-12-31
Owner Quidient, LLC (USA)
Inventor
  • Ackerson, David Scott
  • Meagher, Donald J.
  • Leffingwell, John K.
  • Daniilidis, Kostas

Abstract

A stored volumetric scene model of a real scene is generated from data defining digital images of a light field in a real scene containing different types of media. The digital images have been formed by a camera from opposingly directed poses and each digital image contains image data elements defined by stored data representing light field flux received by light sensing detectors in the camera. The digital images are processed by a scene reconstruction engine to form a digital volumetric scene model representing the real scene. The volumetric scene model (i) contains volumetric data elements defined by stored data representing one or more media characteristics and (ii) contains solid angle data elements defined by stored data representing the flux of the light field. Adjacent volumetric data elements form corridors, at least one of the volumetric data elements in at least one corridor represents media that is partially light transmissive. The constructed digital volumetric scene model data is stored in a digital data memory for subsequent uses and applications.

IPC Classes  ?

  • G06T 15/08 - Volume rendering
  • G06T 7/557 - Depth or shape recovery from multiple images from light fields, e.g. from plenoptic cameras
  • G06T 9/40 - Tree coding, e.g. quadtree, octree
  • H04N 13/111 - Transformation of image signals corresponding to virtual viewpoints, e.g. spatial image interpolation
  • G06T 7/00 - Image analysis
  • G06T 15/20 - Perspective computation
  • G06T 9/00 - Image coding
  • H04N 5/76 - Television signal recording
  • H04N 5/232 - Devices for controlling television cameras, e.g. remote control
  • G06T 17/00 - 3D modelling for computer graphics

16.

QUOTIDIAN SCENE RECONSTRUCTION ENGINE

      
Application Number US2017026994
Publication Number 2017/180615
Status In Force
Filing Date 2017-04-11
Publication Date 2017-10-19
Owner QUIDIENT, LLC (USA)
Inventor
  • Ackerson, David, Scott
  • Meagher, Donald, J.
  • Leffingwell, John, K.
  • Daniilidis, Kostas

Abstract

A stored volumetric scene model of a real scene is generated from data defining digital images of a light field in a real scene containing different types of media. The digital images have been formed by a camera from opposingly directed poses and each digital image contains image data elements defined by stored data representing light field flux received by light sensing detectors in the camera. The digital images are processed by a scene reconstruction engine to form a digital volumetric scene model representing the real scene. The volumetric scene model (i) contains volumetric data elements defined by stored data representing one or more media characteristics and (ii) contains solid angle data elements defined by stored data representing the flux of the light field. Adjacent volumetric data elements form corridors, at least one of the volumetric data elements in at least one corridor represents media that is partially light transmissive. The constructed digital volumetric scene model data is stored in a digital data memory for subsequent uses and applications.

IPC Classes  ?

  • H04N 5/225 - Television cameras
  • H04N 5/76 - Television signal recording
  • G06T 7/55 - Depth or shape recovery from multiple images
  • G06T 7/557 - Depth or shape recovery from multiple images from light fields, e.g. from plenoptic cameras
  • G06T 9/40 - Tree coding, e.g. quadtree, octree
  • G02B 1/08 - Optical elements characterised by the material of which they are madeOptical coatings for optical elements made of polarising materials

17.

QUOTIDIAN SCENE RECONSTRUCTION ENGINE

      
Document Number 03214444
Status Pending
Filing Date 2017-04-11
Open to Public Date 2017-10-19
Owner QUIDIENT, LLC (USA)
Inventor
  • Ackerson, David Scott
  • Meagher, Donald J.
  • Leffingwell, John K.
  • Daniilidis, Kostas

Abstract

ABSTRACT A stored volumetric scene model of a real scene is generated from data defining digital images of a light field in a real scene containing different types of media. The digital images have been fomied by a camera from opposingly directed poses and each digital image contains image data elements defined by stored data representing light field flux received by light sensing detectors in the camera. The digital images are processed by a scene reconstruction engine to form a digital volumetric scene model representing the real scene. The volumetric scene model (i) contains volumetric data elements defined by stored data representing one or more media characteristics and (ii) contains solid angle data elements defined by stored data representing the flux of the light field. Adjacent volumetric data elements fonn corridors, at least one of the volumetric data elements in at least one corridor represents media that is partially light transmissive. The constructed digital volumetric scene model data is stored in a digital data memory for subsequent uses and applications. Date Recue/Date Received 2023-09-22

18.

QUOTIDIAN SCENE RECONSTRUCTION ENGINE

      
Document Number 03018604
Status In Force
Filing Date 2017-04-11
Open to Public Date 2017-10-19
Grant Date 2023-11-07
Owner QUIDIENT, LLC (USA)
Inventor
  • Ackerson, David Scott
  • Meagher, Donald J.
  • Leffingwell, John K.
  • Daniilidis, Kostas

Abstract

A stored volumetric scene model of a real scene is generated from data defining digital images of a light field in a real scene containing different types of media. The digital images have been formed by a camera from opposingly directed poses and each digital image contains image data elements defined by stored data representing light field flux received by light sensing detectors in the camera. The digital images are processed by a scene reconstruction engine to form a digital volumetric scene model representing the real scene. The volumetric scene model (i) contains volumetric data elements defined by stored data representing one or more media characteristics and (ii) contains solid angle data elements defined by stored data representing the flux of the light field. Adjacent volumetric data elements form corridors, at least one of the volumetric data elements in at least one corridor represents media that is partially light transmissive. The constructed digital volumetric scene model data is stored in a digital data memory for subsequent uses and applications.

IPC Classes  ?

  • H04N 23/951 - Computational photography systems, e.g. light-field imaging systems by using two or more images to influence resolution, frame rate or aspect ratio
  • G06T 7/55 - Depth or shape recovery from multiple images
  • G06T 7/557 - Depth or shape recovery from multiple images from light fields, e.g. from plenoptic cameras
  • G01N 21/95 - Investigating the presence of flaws, defects or contamination characterised by the material or shape of the object to be examined
  • G06T 9/40 - Tree coding, e.g. quadtree, octree

19.

QUIDIENT

      
Serial Number 86707827
Status Registered
Filing Date 2015-07-29
Registration Date 2017-10-03
Owner Quidient, LLC ()
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

Computer programs, computer software, computer firmware, and computer hardware all for extracting information from camera data Design, development, and consulting services related thereto in the field of computer programs, computer software, computer firmware, and computer hardware all for extracting information from camera data; research and development in the field of artificial intelligence and visual cognition as it relates to processing camera data