San Francisco, CA, United States of America

Shantanu Rajora

This inventor holds 1 USPTO granted patent. Top assignee: Aidash, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Shantanu Rajora. Retrieved from https://idiyas.com/inventor/shantanu-rajora-1rwtqrm5

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Shantanu Rajora and Tree-Identification Technology

Introduction

Shantanu Rajora is an inventor associated with AIDash, Inc. and based in San Francisco, California. His patent work addresses the use of satellite imagery and machine learning to identify trees and assess potential risks to electrical infrastructure.

Latest Patents

Rajora is named on 1 patent: “Systems and Methods for Identifying Trees and Estimating Tree Heights and Other Tree Parameters.” The disclosed method processes georeferenced satellite images with fully convolutional networks to classify pixels as trees or non-trees. It then uses the resulting segmentation maps to generate rasters and vectors, with polygons representing individual trees.

The method also uses digital surface models to create canopy height models and associate tree heights with the corresponding polygons. By comparing a tree’s estimated height with its distance from an electrical asset, the system can identify trees that may pose a hazard and provide notifications.

Career Highlights

Rajora’s patent reflects an application of computer vision and geospatial data analysis to infrastructure monitoring. The approach is designed to help identify potentially hazardous trees near electrical assets.

Collaborations

The provided information lists Nitin Das as Rajora’s coworker. It does not specify whether Das collaborated with him on the patent.

Conclusion

Shantanu Rajora’s patent describes a data-driven method for mapping trees, estimating their heights, and flagging potential risks to electrical infrastructure.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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