This inventor holds 2 USPTO granted patents. Top assignee: Sas Institute Inc.. Active years: 2023-2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023-2024
Title: Neela Niranjani Vengateshwaran: Innovator in Object Classification Technologies
Introduction
Neela Niranjani Vengateshwaran is a prominent inventor based in Canton, MI (US). She has made significant contributions to the field of machine learning and object classification. With a total of 2 patents, her work focuses on enhancing the capabilities of systems that classify and analyze objects within images.
Latest Patents
Neela's latest patents include innovative systems and methods for configuring and using a multi-stage object classification and condition pipeline. One of her patents describes a system that detects a target object within image data using a localization machine learning model. It classifies the object into a probable class and routes the image data to a classification model that determines the object's condition. The system also displays a representation of the target object alongside its probable condition class through a graphical user interface. Another patent outlines a similar process, but it emphasizes the extraction of a target sub-image from original image data, further enhancing the accuracy of object classification.
Career Highlights
Neela currently works at SAS Institute Inc., where she applies her expertise in machine learning to develop advanced technologies. Her work has been instrumental in pushing the boundaries of what is possible in object classification and analysis.
Collaborations
Neela collaborates with Robert Winston Blanchard, leveraging their combined expertise to drive innovation in their projects.
Conclusion
Neela Niranjani Vengateshwaran is a trailblazer in the field of object classification technologies. Her patents reflect her commitment to advancing machine learning applications, making significant strides in how we understand and interact with visual data.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
