Location History:
- Thiruvalluvar Salai, IN (2018)
- Tirupati, IN (2020)
- Chennai, IN (2018 - 2021)
- Bengaluru, IN (2021)
Company Filing History:
Years Active: 2018-2021
Title: The Innovative Mind of Kalidas Yeturu
Introduction
Kalidas Yeturu is a prominent inventor based in Chennai, India. He has made significant contributions to the field of technology, particularly in the areas of unmanned aerial vehicles and machine learning. With a total of 8 patents to his name, Yeturu continues to push the boundaries of innovation.
Latest Patents
One of his latest patents involves controlling a route based on priority levels associated with delivery action or surveillance action. This patent describes how an unmanned aerial vehicle (UAV) can perform surveillance actions at properties defined by a geo-fence. The UAV captures surveillance images that include data of objects both inside and outside the geo-fence. The technology ensures privacy by obscuring or removing image data referring to objects outside the geo-fence. Another notable patent focuses on an artificial intelligence system designed to enhance data sets used for training machine learning-based classifiers. This involves generating a regression model to map observation records from one dimensionality to another, ultimately improving the training process for classifiers.
Career Highlights
Kalidas Yeturu is currently employed at Amazon Technologies, Inc., where he applies his expertise in technology and innovation. His work at Amazon has allowed him to explore new frontiers in UAV technology and machine learning, contributing to the company's advancements in these fields.
Collaborations
Throughout his career, Yeturu has collaborated with notable colleagues, including Howard Lee Huddleston, Jr. and Anaiappan Govindan. These collaborations have fostered a creative environment that encourages the exchange of ideas and innovative solutions.
Conclusion
Kalidas Yeturu exemplifies the spirit of innovation through his patents and contributions to technology. His work not only enhances the capabilities of UAVs and machine learning but also sets a standard for future inventors in the field.