Abstract: A system for analog gauge monitoring uses a machine learning model for computer vision that is trained using synthetic training data generated based on one or a few images of the gauge being monitored and a geometric model describing the scale and the indicator of the gauge. In some embodiments, the synthetic training data is generated using an image model implemented as a generative adversarial network (GAN) type neural network and trained to modify an image of a given gauge such that the gauge face is preserved while the gauge indicator is added to or removed from the image of the given gauge for any given gauge.

Abstract: A method for person detection using overhead images includes receiving a depth image captured from an overhead viewpoint at a first location; detecting in the depth image for a target region indicative of a scene object within a height range; determining whether the detected target region has an area within a head size range; if within the head size range, determining whether the detected target region has a roundness value less than a maximum roundness value; if less than the maximum roundness value, classifying the detected target region as a head of a person and masking the classified target region in the depth image, where the masked region is excluded from detecting; and repeating the detecting to the masking to detect for and classify another target region in the depth image within the height range and outside of the masked region.

Abstract: A method for person detection using overhead images includes receiving a depth image captured from an overhead viewpoint at a first location; detecting in the depth image for a target region indicative of a scene object within a height range; determining whether the detected target region has an area within a head size range; if within the head size range, determining whether the detected target region has a roundness value less than a maximum roundness value; if less than the maximum roundness value, classifying the detected target region as a head of a person and masking the classified target region in the depth image, where the masked region is excluded from detecting; and repeating the detecting to the masking to detect for and classify another target region in the depth image within the height range and outside of the masked region.

Abstract: A system for analog gauge monitoring uses a machine learning model for computer vision that is trained using synthetic training data generated based on one or a few images of the gauge being monitored and a geometric model describing the scale and the indicator of the gauge. In some embodiments, the synthetic training data is generated using an image model implemented as a generative adversarial network (GAN) type neural network and trained to modify an image of a given gauge such that the gauge face is preserved while the gauge indicator is added to or removed from the image of the given gauge for any given gauge.

Abstract: A system and method for determining an object or product represented in an image is disclosed. The system receives a first image, determines a region of interest in the first image, determines a classification score for the region of interest using a convolutional neural network that assigns the region of interest the classification score corresponding to a class, and identifies a first product in the first image based on the classification score.

Abstract: Methods and systems for planogram matching are described. The methods include capturing an image, processing the image to identify a product based on a symbolic identifier, receiving a planogram, identifying a region of a planogram based on a linear grouping, determining a geometrically consistent match between the product and a sample product included in the region of the planogram, and determining an alignment between the region of the planogram and a corresponding region of the image that includes the product. The methods may further include determining a location in the corresponding region that does not include an expected product based on the planogram.

Abstract: A system and method for determining an object or product represented in an image is disclosed. The system receives a first image, determines a region of interest in the first image, determines a classification score for the region of interest using a convolutional neural network that assigns the region of interest the classification score corresponding to a class, and identifies a first product in the first image based on the classification score.

Abstract: A system and method for determining an object or product represented in an image is disclosed. The system receives a first image, determines a region of interest in the first image, determines a classification score for the region of interest using a convolutional neural network that assigns the region of interest the classification score corresponding to a class, and identifies a first product in the first image based on the classification score.

Abstract: An electronic writing solution server includes a workflow dashboard application that comprises a dashboard generator. The dashboard generator receives a collection of forms, each form in the collection being of a same type and having been created from a dashboard template, the dashboard template including an association of fields, steps and indicators in each form, identifies which fields have been filled in by at least one user for each form, determines a current step of a multistep workflow based on the fields that have been filled out for each form and generates a dashboard for displaying a number of forms that correspond to each step.

Abstract: A system and method for creating one or more manifests that group one or more forms by one or more tasks is described. A manifest application determines one or more tasks and a first order for the one or more tasks, determines one or more forms associated with each task and a second order for the one or more forms within each task, generates one or more user interface elements that each link to a corresponding form within each tasks, generates a manifest comprising a summary of the one or more tasks in the first order, the forms in the second order for each task and the user interface elements that each link to a corresponding form and provides the manifest for display on a portable computing device.

Abstract: A system and method for sharing documents and markup to documents in near real-time. A server coupled with a plurality of client devices via a network is configured to fairly distribute documents to each of the plurality of client devices in one or more collaborative sessions. The server receives a document for distribution to a plurality of client devices associated with a particular collaborative session, breaks the documents into pieces, and repeatedly, until all pieces of the document are distributed: selects a piece of the document for transmission, sends the selected piece to each of the plurality of client devices, computes a delay based on the size of the selected piece and a minimum network bandwidth, and waits for the computed delay.

Abstract: A distributed workflow-enabled system includes: a workflow-enabled provider and a workflow-enabled client communicatively coupled by a network. The workflow-enabled provider and the workflow-enabled client include a workflow unit. The workflow unit allows the workflow-enabled provider and the workflow-enabled client to communicate, distribute processes and present a user interfaces by providing a communication manager, a process control module and a user interface module. The present invention also includes a number of novel methods including a method for communication, a method for processing by a process control module, a method for creating and presenting the user interface and a method for retrieving processes executable by the process control module.

Abstract: Methods and systems for planogram matching are described. The methods include capturing an image, processing the image to identify a product based on a symbolic identifier, receiving a planogram, identifying a region of a planogram based on a linear grouping, determining a geometrically consistent match between the product and a sample product included in the region of the planogram, and determining an alignment between the region of the planogram and a corresponding region of the image that includes the product. The methods may further include determining a location in the corresponding region that does not include an expected product based on the planogram.

Abstract: An Image Based Document Management (IBDM) server includes a state recorder, a query engine, a view creation module and a user interface engine. The view creation module creates a first view of a collection based on at least one operation from a first user. The state recorder receives a selection of the first view of the collection from a user. The query engine runs a query associated with the first view of the collection. The user interface engine generates graphical data for presenting a list of views of the collection including the first view of the collection to a user and for displaying the first view of the collection to the user.

Abstract: An electronic writing solution server includes a query engine and a user interface engine. The query engine receives a search query from a user, the search query specifying a field in at least one form and including a first stroke or text, retrieves clusters from a database, retrieves example strokes from the clusters at vary levels of similarity to the first stroke, receives user selections for strokes of interest from the example strokes, and retrieves information associated with the strokes of interest from the database. The user interface engine generates graphical data for presenting the retrieved information to the user.

Abstract: A system and method for determining an object or product represented in an image is disclosed. The system receives a first image, determines a region of interest in the first image, determines a classification score for the region of interest using a convolutional neural network that assigns the region of interest the classification score corresponding to a class, and identifies a first product in the first image based on the classification score.

Abstract: The disclosure includes a system and method for aggregating form data based on marks in graphic form fields. The system includes a controller, a request customization module, a search module and a presentation module. The controller receives data indicating an initiation of a search request from a user, data describing a form selected by the user, data describing a graphic form field specified by the user in the form and data describing a region of interest specified by the user in the graphic form field. The request customization module customizes the search request using the region of interest. The search module performs a form search on a collection of form data using the search request to determine one or more matching forms that each include at least one mark satisfying the region of interest. The presentation module provides the one or more matching forms to the user.

Abstract: An Image Based Document Management (IBDM) server includes a table generator, a symbolic representation module and a sort engine. The table generator generates a table from the form images, the table comprising cells with data types including image data, symbolic data, image and symbolic data and an empty value, and updates the table. The symbolic representation module converts at least one of the cells with image data to symbolic data. The sort engine determines, from a sort request for a column of the table received from a user, at least a first priority for a first data type, the column including at least two of the data types, determines from the sort request a second priority within one of the data types, and sorts the column according to the sort request.

Abstract: A system and method for creating a table including multiple rows to accommodate redundant field information is described. A table creation module receives a completed form, generates field images, determines a set of unique field images, redundant fields and associated fields in the completed form, populates a first row of the table in a first column with a first unique field image, adds remaining field images from the set of unique field images to the first row, populates the first row with a first redundant field image and remaining field images from a first set of associated fields. The tables can be used to create an organized report.

Abstract: An electronic writing solution server includes a classification application that comprises a classifier and a user interface engine. The classifier receives multimedia data on a form, identifies at least one field in the form to be modified and modifies the at least one field in the form based on the multimedia data. The user interface engine provides the modified form to a user.