Honeywell International Inc.

Sparta Systems, Inc.

Timothy Sneed

Arun Ramasubrahmanyan

Bruce Kratz

Judith Fainor

Tanmay Sonawadekar

Daniel Burns

Embodiments provide for visual object export. Some embodiments receive, by a server-side computing device, a message data object identifying at least one previously rendered visual object at a client-side computing device via a web application, render, at the server-side computing device utilizing a browser client, at least one new visual object corresponding to the at least one previously rendered visual object, capture an image of the at least one new visual object rendered on the server-side computing device using the browser client, and integrate the image into a data file associated with the at least one previously rendered visual object.

Systems, apparatuses, methods, and computer program products for visual object export

A method of generating an annual product quality review report includes defining at least one author for generating the report; selecting a chapter for inclusion in the report, wherein the chapter is associated with one or more predefined data requirements which predefined data requirements may be presented to the author for inclusion in the report; defining at least one system of record from a plurality of systems of record as a source of raw data for providing data to the one or more predefined data requirements. The at least one system of record provides raw data to the predefined data requirements through a tech fabric that causes the raw data to populate one or more enterprise object models to standardize the raw data.

Systems and methods for generating annual product quality reviews

An apparatus, method and computer-readable medium for maintaining visual consistency of a presentation layer of an application, including receiving images and associated metadata from client-side computing devices, the associated metadata indicating a corresponding feature and a corresponding state for each image, retrieving a baseline image corresponding to each image from a server-side memory based on the corresponding feature and the corresponding state for each image, performing a visual regression analysis between each image and the corresponding baseline image to determine values of indicators, and transmitting alerts to client-side computing devices based at least in part on a determination that a value of an indicator is outside of a predetermined range of values or does not match an expected value of the indicator.

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Beachwood, NJ, United States of America

Timothy Sneed