Other

Standard Cognition, Corp.

Novak, John F.

Burch, Michael R.

John F Novak

Jordan E Fisher

Brandon L Ogle

Juan C Lasheras

Daniel L Fischetti

Kyle E Dorman

Kenneth S Kihara

David Valdman

Michael R Burch

A method for identifying an inventory item is provided. The method includes using first one or more sensors to produce first one or more outputs indicative of an inventory item, using second one or more sensors to produce second one or more outputs indicative of the inventory item, generating, based on the first one or more outputs and independent of the second one or more outputs, a first confidence level of the inventory item being a first inventory item, generating, based on the second one or more outputs and independent of the first one or more outputs, a second confidence level of the inventory item being a second inventory item, and identifying, based on the first confidence level and the second confidence level, the inventory item as one of the first inventory item or the second inventory item.

Identifying inventory items using multiple confidence levels

Systems and techniques are provided for tracking puts and takes of inventory items by subjects in an area of real space. A plurality of cameras with overlapping fields of view produce respective sequences of images of corresponding fields of view in the real space. In one embodiment, the system includes first image processors, including subject image recognition engines, receiving corresponding sequences of images from the plurality of cameras. The first image processors process images to identify subjects represented in the images in the corresponding sequences of images. The system includes second image processors, including background image recognition engines, receiving corresponding sequences of images from the plurality of cameras. The second image processors mask the identified subjects to generate masked images. Following this, the second image processors process the masked images to identify and classify background changes represented in the images in the corresponding sequences of images.

Systems and methods for deep learning-based shopper tracking

Machine learning-based subject tracking

Predicting inventory events using foreground/background processing

Systems and methods for deep learning-based notifications

Systems and techniques are provided for tracking puts and takes of inventory items by subjects in an area of real space. A plurality of cameras with overlapping fields of view produce respective sequences of images of corresponding fields of view in the real space. A processing system is coupled to the system. In one embodiment, the processing system comprises image recognition engines receiving corresponding sequences of images from the plurality of cameras. The image recognition engines process the images in the corresponding sequences to identify subjects represented in the images and generate classifications of the identified subjects. The system processes the classifications of identified subjects for sets of images in the sequences of images to detect takes and puts of inventory items on shelves by identified subjects.

Item put and take detection using image recognition

Predicting inventory events using semantic diffing

Systems and techniques are provided for tracking multi joint subjects in real space having a plurality of cameras. The field of view of each camera overlaps with at least one other camera. The plurality of cameras produce respective sequences of images of corresponding fields of view in the real space. A processing system is coupled to the plurality of cameras. In one embodiment, the processing system comprises image recognition engines receiving sequence of images from the plurality of cameras and generating corresponding arrays of joint data structures. A tracking engine is configured to receive the arrays of joint data structures and generate candidate joints having coordinates in the real space. The processing system includes the logic to identify sets of candidate joints having coordinates in the real space as multi-joint subjects in the real space.

Subject identification and tracking using image recognition

The invention described herein pertains generally to a more efficient and cost-effective method and apparatus for: (1) coupling of microwave energy from a microwave generator or plurality of microwave generators into an integral set of applicators; (2) extraction and separation of organic compounds from a mixture of organic and inorganic compounds; and (3) recovery and conversion of the organic compounds to gaseous and liquid fuels. The apparatus described in this invention result in improved microwave absorption within the mixture flowing through the applicators by increasing residence time within the applicators, resulting in a higher temperature within the material. The higher temperature lowers the viscosity of the solution, but also provides a limited reduction of the combination of complex chain and aromatic organic compounds to allow recovery of syngas and fuel oil.

Method and apparatus for dual applicator microwave design

The invention pertains to utilization of high power density microwave energy to reduce organic compounds to carbon and their constituents, primarily in a gaseous state. The process includes, but is not limited to, scrap tires, plastics, asphalt roofing shingles, computer waste, medical waste, municipal solid waste, construction waste, shale oil, and PCB/PAH/HCB-laden materials. The process includes the steps of feeding organic material into a microwave applicator and exposing the material to microwave energy fed from at least two linear polarized sources in non-parallel alignment to each other, and collecting the material. The at least two sources of microwave energy are from a bifurcated waveguide assembly, whose outputs are perpendicular to each other and fed through waveguide of proper impedance, such that the microwave sources are physically and electrically 90&#xb0; out of phase to each other. The microwave frequency is between 894 and 1000 MHz, preferably approximately 915 MHz.

Method and apparatus for microwave reduction of organic compounds

The invention described herein generally pertains to coupling microwave energy into a tuned multi-section WR-975 waveguide assembly, connected to a waveguide containing a ceramic cylindrical applicator, terminated in a dummy load, for pre-heating fuels to improve vaporization, combustion efficiency, and soot reduction in combustion chamber(s). Designed primarily for processing liquid byproducts produced during biodiesel fuel manufacturing, this invention establishes a charge density in a cross-coupled applicator, according to the applicator's volume, dielectric characteristics of the materials being processed, applied frequency, and voltage. This invention may also be used for preheating or polarization of solids within a pipe-conveyed slurry, such as biosolids, bituminous coal, crude oil sludge, paper pulp or shale oil rock. Finally, this invention may serve as an integral part of a coal gasification process, employing both microwave drying and reduction methods, to produce syngas, hydrogen, and/or liquid fuels.

Method and apparatus for microwave-based liquid vaporization system

The invention describes a process for reducing an organic-containing material into lower molecular weight gaseous hydrocarbons, liquid hydrocarbons and solid carbon constituents, by using out-of-phase microwaves which enter the applicator through at least one applicator diffuser matrix. The matrix includes essentially parallel beveled entry channels.

Method and apparatus for microwave dissociation of organic compounds

The invention described herein generally pertains to utilization of high power density microwave energy to reduce organic compounds to carbon and their constituents, primarily in a gaseous state. The process includes, but is not limited to, scrap tires, plastics, asphalt roofing shingles, computer waste, medical waste, municipal solid waste, construction waste, shale oil, and PCB/PAH/HCB-laden materials. The process includes the steps of feeding organic material into a microwave applicator and exposing the material to microwave energy fed from at least two linear polarized sources in non-parallel alignment to each other, and collecting the material. The at least two sources of microwave energy are from a bifurcated waveguide assembly, whose outputs are perpendicular to each other and fed through waveguide of proper impedance, such that the microwave sources are physically and electrically 90&#xb0; out of phase to each other. The microwave frequency is between 894 and 1000 MHz, preferably approximately 915 MHz.

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Fredericktown, OH, United States of America

John F Novak