Abstract: A mechanized store implements a first algorithm configured to detect an identity of an item in an image acquired by one or more imaging sensors and implements a second algorithm configured to detect an identity of the item in an image acquired by the one or more imaging sensors. The identity of the item detected using the first algorithm is compared to the identity of the item detected using the second algorithm. The user and/or a store employee can be alerted to a discrepancy.

Abstract: Systems and techniques are provided for detecting gaze direction of subjects in an area of real space. The system receives a plurality of sequences of frames of corresponding fields of view in the real space. The system uses sequences of frames in a plurality of sequences of frames to identify locations of an identified subject and gaze directions of the subject in the area of real space over time. The system includes logic having access to a database identifying locations of items in the area of real space. The system identifies items in the area of real space matching the identified gaze directions of the identified subject.

Abstract: The technology disclosed allows for remote distributed computing and storage of vehicle data obtained from one or more vehicles. Specifically, the technology disclosed is capable of determining, at a vehicle, resource requirements for a software application. The technology disclosed is also capable of selecting a computation resource from a plurality of computation resources based on one or more selection policies for meeting the resource requirements, sending the vehicle data from the vehicle to the selected computation resource, receiving at the vehicle data from the selected computation resource and utilizing the data obtained from the computation resource and data in the vehicle in the software application.

Abstract: Systems and techniques are provided for detecting gaze direction of subjects in an area of real space. The system receives a plurality of sequences of frames of corresponding fields of view in the real space. The system uses sequences of frames in a plurality of sequences of frames to identify locations of an identified subject and gaze directions of the subject in the area of real space over time. The system includes logic having access to a database identifying locations of items in the area of real space. The system identifies items in the area of real space matching the identified gaze directions of the identified subject.

Abstract: Registry verification is used in a mechanized store. A camera is used to count a first number of items taken by a user. Radio frequency tags are used to determine a second number of items. The first number of items is compared to the second number of items to reduce a likelihood of errors.

Abstract: Systems and techniques are provided for tracking subjects in an area of real space. The system receives a plurality of sequences of images of corresponding fields of view in the real space. The system uses the sequences of images to locate subjects in the area of real space during identification intervals. The system compares a current set of located subjects from a current identification interval with previous sets of located subjects from a plurality of previous identification intervals to track locations of tracked subjects in the area.

Abstract: Systems and techniques are provided for linking subjects in an area of real space with user accounts. The user accounts are linked with client applications executable on mobile computing devices. A plurality of cameras are disposed above the area. The cameras in the plurality of cameras produce respective sequences of images in corresponding fields of view in the real space. A processing system is coupled to the plurality of cameras. The processing system includes logic to determine locations of subjects represented in the images. The processing system further includes logic to match the identified subjects with user accounts by identifying locations of the mobile computing devices executing client applications in the area of real space and matching locations of the mobile computing devices with locations of the subjects.

Abstract: A mechanized identifies a user in an area. A sensor is used to identify an item removed from a display by the user. Cameras are configured to detect items removed from the display. An identity of the user is matched to items removed from the display by the user to obtain a result. The result is saved to a record of the user.

Abstract: Registry verification is used in a mechanized store. One or more sensors are used to identify one or more items available for purchase at display in a store. One or more cameras are used to detect identities of the one or more items removed by a user from the display. Identities of the one or more items identified by the one or more sensors are compared to the identities of the one or more items detected by the one or more cameras to obtain a result that is saved to a record of the user. The user can be charged for the items removed from the display.

Abstract: Systems and techniques are provided for linking subjects in an area of real space with user accounts. The user accounts are linked with client applications executable on mobile computing devices. A plurality of cameras are disposed above the area. The cameras in the plurality of cameras produce respective sequences of images in corresponding fields of view in the real space. A processing system is coupled to the plurality of cameras. The processing system includes logic to determine locations of subjects represented in the images. The processing system further includes logic to match the identified subjects with user accounts by identifying locations of the mobile computing devices executing client applications in the area of real space and matching locations of the mobile computing devices with locations of the subjects.

Abstract: The technology disclosed allows for remote distributed computing and storage of data obtained from one or more client devices. Specifically, the technology disclosed is capable of receiving, at the client device, data from at least one data source. The technology discloses is also capable of determining, at the client device, data information associated with the data from the at least one data source, selecting a computation resource from a plurality of computation resources based on one or more selection policies, where the selection policies are associated with one or more of location constraints, time constraints, and data type constraints and sending the data from the client device to the selected computation resource for processing.

Abstract: Systems and techniques are provided for tracking inventory items in an area of real space. A plurality of cameras, or other sensors, produce respective sequences of images in corresponding fields of view in the real space. The field of view of each camera overlaps with the field of view of at least one other camera. The system is coupled to the plurality of cameras and uses the sequences of images produced by at least two cameras in the plurality of cameras to identify inventory events. The inventory event includes an item identifier, a location and a timestamp. A plurality of cells having coordinates in the area of real space are stored as a data set in the memory. The processing system calculates scores at a scoring time, for inventory items having locations matching particular cells using respective counts of inventory events.

Abstract: 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.

Abstract: Systems and techniques are provided for automated shopping. The system processes sequences of sensor data to identify inventory events including item identifier and a classification confidence score. The system includes logic to generate and transmit digital receipts to devices linked to subjects in response to check-out events. The digital receipts include list of items based on the items in a log of items for the particular subject. The digital receipts can include links to graphical constructs for display on the device prompting input to request changes in the list of items. The system includes logic to process refund requests in response to messages from the device for the particular subject.

Abstract: Systems and techniques are provided for tracking inventory events in an area of real space. A plurality of sensors produce respective sequences of frames in corresponding fields of view in the real space. The field of view of each sensor overlaps with the field of view of at least one other sensor. The processing system uses the sequences of frames produced by sensors in the plurality of sensors to identify gestures by detected subjects in the area of real space and produce inventory events. The inventory events include a subject identifier identifying a detected subject, a gesture type of the identified gesture by the detected subject, an item identifier identifying an inventory item linked to the gesture by the detected subject, a location of the gesture represented by positions in three dimensions of the area of real space and a timestamp.

Abstract: Systems and techniques are provided for tracking inventory items in an area of real space. A plurality of cameras, or other sensors, produce respective sequences of images in corresponding fields of view in the real space. The field of view of each camera overlaps with the field of view of at least one other camera. The system is coupled to the plurality of cameras and uses the sequences of images produced by at least two cameras in the plurality of cameras to identify inventory events. The inventory event includes an item identifier, a location and a timestamp. A plurality of cells having coordinates in the area of real space are stored as a data set in the memory. The processing system calculates scores at a scoring time, for inventory items having locations matching particular cells using respective counts of inventory events.

Abstract: 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.

Abstract: 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.

Abstract: 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.