Abstract: A system and method for linking observed human activity on video to a user account of a preferred embodiment that includes: through a computer vision monitoring system, detecting and tracking a human as a computer vision modeled person within an environment, the computer vision monitoring system being part of a computing platform managing a user interaction experience; through at least one associative mechanism, establishing an association between the computer vision modeled person and at least one associative element and thereby associating the computer vision modeled person and a user-record linked through the associative element; and directing the user interaction experience at least in part based on the combination of the modeled person and at least the user-record.

Abstract: A system and method for computer vision driven applications in an environment that can include collecting image data across an environment; maintaining an environmental object graph from the image data whereby maintaining the environmental object graph is an iterative process that includes: classifying objects, tracking object locations, detecting interaction events, instantiating object associations in the environmental object graph, and updating the environmental object graph by propagating change in at least one object instance across object associations; and inspecting object state for at least one object instance in the environmental object graph and executing an action associated with the object state. The system and method can be applied to automatic checkout, inventory management, and/or other system integrations.

Abstract: A system and method for privacy protection in vision systems that can include collecting image data from an environment; collecting spatial information corresponding to the image data; selecting a sanitization image region in the image data based at least in part on the spatial information; and applying image sanitization to the sanitization image region thereby generating sanitized image data.

Abstract: An imaging system comprising of a set of cameras, the cameras having a configured relative camera arrangement; and each camera of the set of cameras comprising at least one corrective optical system. The system and method may comprise of multi-camera variations for coordinated alignment in multi-camera variations and/or split-field optical systems.

Abstract: A system and method for a remote state following device that includes an electronic device with a controllable operating state; an imaging device; and control system that when targeted at a control interface interprets a visual state from the control interface, and modifies the operating state in coordination with the visual state.

Abstract: A system and method for visually automated interface integration that includes collecting image data; detecting a device interface source in the image data; processing the image data associated with the device interface source into an extracted interface representation; and exposing at least one access interface to the extracted interface representation.

Abstract: A system and method for dynamically controlling cameras for computer vision monitoring, which can include: operating a computer vision monitoring system with a network of imaging devices distributed across an environment; collecting, using at least a subset of imaging devices from the network of imaging devices, a first set of image data of a base image form; processing the first set of image data and generating an interpreted data model of the environment; detecting, through the data model, a data model state condition; and in response to detection of the data model state condition, capturing image data in an enhanced image data form within at least a select subregion of the environment.

Abstract: Systems and methods for automated management of product presentation using remote sensing systems that can include collecting image data and generating a presentation characterization of detected products. The systems and methods can additionally include variations including detecting interaction data and training a presentation classification model using the interaction data and image data. The systems and methods can additionally include updating state of one or more computing device based on the presentation characterization.

Abstract: A system and method for sensor-enabled automated inventory stocking management that can include: operating a computer vision monitoring system comprising collecting image data, and identifying, by processing the image data, products and shelf space locations of the products; maintaining a shelving property map based on the products and shelf space locations identified through the computer vision monitoring system; in association with at least one request, allocating a shelf space usage option within a shelf space management database system, wherein each shelf space usage option specifies fulfillment parameters including at least one product identity and a set of shelf space placement parameters; confirming, based on processing of updated image data from the computer vision monitoring system, fulfillment of conditions defined through the fulfillment parameters of the a shelf space usage option and, in response, performing reactionary actions in the computing system.

Abstract: System and method for dynamic marketing of products that can include collecting image data; identifying a set of product instances within the environment; for each product instance of the set of product instances, analyzing image data of the product instance and thereby determining a product presentation variation associated with the product instance; detecting user-item interactions associated with the set of product instances; and analyzing user-item interactions associated with the set of product instances according to the product presentation variations.

Abstract: A system and method for computer vision assisted physical-labels functions to use functional, large format product labeling for better computer vision (CV) identification. The product labels and detection capabilities of the system and method enhance product label detection and interpretation for use with image sensing at a distance. The product labels are non-obtrusive and can mitigate changes to sizing or visual appearance of packaging of goods or products. The system and method can enable universal product labeling for vision-based commerce and other applications.

Abstract: A system and method for vehicle facilitated commerce comprising: collecting a payment mechanism associated with a vehicle station at a vehicle service site; collecting image data in a defined region containing the vehicle station and a defined commerce region; initializing monitoring of at least one detected user associated with the vehicle station; monitoring commerce activity of the user, which comprises of: through CV processing of image data, detecting at least one commerce activity event involving the user and updating a checkout list associated with the user based on the commerce activity event; and executing a transaction with the payment mechanism for the checkout list.

Abstract: A system and method for an associative interaction framework used for user input within an interaction platform used in an environment that includes collecting image data in the environment; through computer vision analysis of the image data, classifying objects in the environment wherein a plurality of the objects are detected users; for at least one user, detecting an associative interaction event, which includes: through computer vision analysis of the image data, detecting a first object association of the one user with a first object, and initiating an associative interaction event with a set of interaction properties including properties of the user and the first object association; and executing an action response based on the associative interaction event.

Abstract: A system and method for a dynamic customer checkout experience within an automated shopping environment that includes generating a virtual cart for the customer through an automatic checkout system; tracking location of the customer; generating an assessment of the virtual cart; and selecting a processing mode for the customer based in part on the assessment and executing the processing mode within at least one computing device in coordination with the location of the entity.

Abstract: A system and method for sensor-enabled automated inventory stocking management that can include: operating a computer vision monitoring system comprising collecting image data, and identifying, by processing the image data, products and shelf space locations of the products; maintaining a shelving property map based on the products and shelf space locations identified through the computer vision monitoring system; in association with at least one request, allocating a shelf space usage option within a shelf space management database system, wherein each shelf space usage option specifies fulfillment parameters including at least one product identity and a set of shelf space placement parameters; confirming, based on processing of updated image data from the computer vision monitoring system, fulfillment of conditions defined through the fulfillment parameters of the a shelf space usage option and, in response, performing reactionary actions in the computing system.

Abstract: A system and method for outfitting an environment with a camera array that includes: a set of camera modules mounted and interconnected as a monitoring network within the environment; wherein each camera module instance of the set of camera modules comprises of: at least one camera, and at least a first connection port and second connection port; and wherein the camera modules of the set of camera modules serially connect through the connection ports of adjacent camera modules.

Abstract: System and method for dynamic marketing of products that can include collecting image data; identifying a set of product instances within the environment; for each product instance of the set of product instances, analyzing image data of the product instance and thereby determining a product presentation variation associated with the product instance; detecting user-item interactions associated with the set of product instances; and analyzing user-item interactions associated with the set of product instances according to the product presentation variations.

Abstract: A system and method for a remote state following device that includes an electronic device with a controllable operating state; an imaging device; and control system that when targeted at a control interface interprets a visual state from the control interface, and modifies the operating state in coordination with the visual state.

Abstract: A system and method for training, using a supervised learning process, a first learning model with a first dataset; applying the first learning model to a second dataset thereby generating a first learning model output; training, using an unsupervised learning process, a second learning model with the first learning model output thereby generating a clustering output of the second learning model; determining a bias assessment based on the clustering output; and training, using a third dataset, a bias assessment modified learning model using supervised learning.

Abstract: A system and method for linking observed human activity on video to a user account of a preferred embodiment that includes: through a computer vision monitoring system, detecting and tracking a human as a computer vision modeled person within an environment, the computer vision monitoring system being part of a computing platform managing a user interaction experience; through at least one associative mechanism, establishing an association between the computer vision modeled person and at least one associative element and thereby associating the computer vision modeled person and a user-record linked through the associative element; and directing the user interaction experience at least in part based on the combination of the modeled person and at least the user-record.