Honeywell International Inc.

Schlumberger Technology Corporation

Atul Laxman Katole

Amit Kulkarni

Manjuprakash Rama Rao

Rajkumar Palanivel

Srinivas Muktevi

Uday Pulleti

Jagadeesh Brahmajosyula

Purnaprajna Raghavendra Mangsuli

Ishit Trivedi

Sunil Venugopalan

Douglas Beaudet

Aditya Narendrakumar Vora

Hemant Mahsky

Aria Abubakar

Hiren Maniar

Aaron Scollard

Denzil Francis Crasta

Preeti Gupta

Ekansh Verma

Omkar Anil Gune

A method can include receiving raster images of logs, where the logs include plots, tracks and headers and where, compared to the plots and the tracks, the headers are underrepresented; processing the raster images using a trained machine learning model to generate segmentation masks for the logs for identification of the plots, the tracks and the headers; and generating digitized versions of the logs using the segmentation masks, where each of the digitized versions of the logs includes a digitized plot with an associated digitized header and an associated digitized track.

Raster image digitization system for field data

A method for digitizing image-based data includes receiving an image file including one or more target objects, generating an intermediate image by removing noise from the image file using a denoising machine learning model, identifying the one or more target objects included in the intermediate image using an object segmentation machine learning model, discretizing the one or more target objects that were identified using the trained object segmentation machine learning model, and storing the one or more target objects that were discretized in a data file, visualizing the one or more target objects, or both.

Raster image digitization using machine learning techniques

Methods and systems for monitoring blockages of emergency escape routes and emergency exits of a building include capturing a plurality of images which may correspond to an emergency escape route and/or an emergency exit of a building. The plurality of images may be analyzed to determine when a stationary object is present and at least partially blocking the emergency escape route and/or the emergency exit. If a blockage is detected, a user may be notified of the blockage.

Systems and methods for identifying blockages of emergency exists in a building

Devices, methods, and systems for voice control of components of a facility are described herein. One computing device apparatus includes a memory, and a processor configured to execute executable instructions stored in the memory to receive a voice command or voice query from a user, determine location context information associated with the computing device, and determine which component or components of the facility are associated with the voice command or voice query based, at least in part, on the location context information associated with the computing device.

Voice control of components of a facility

Systems and methods for managing alert notifications from a secured area are provided. Such systems and methods can include a surveillance device monitoring the secured area and transmitting data captured from the secured area to an artificial intelligence module, the artificial intelligence module using the data to identify a scenario associated with the secured area and a notification priority of the scenario, and when the notification priority is at or above a preconfigured level, the artificial intelligence module transmitting an alert notification to a cloud server indicative of the scenario.

Systems and methods for managing alert notifications from a secured area

Growing community of inventors

Bengaluru, India

Atul Laxman Katole