Pranav Prakash

Title: Pranav Prakash and Hazard-Tree Detection for Power Infrastructure

Introduction

Pranav Prakash is an inventor based in San Jose, California, and is associated with AiDash, Inc. His patent work addresses the identification of trees that could pose risks to electrical assets in power distribution infrastructure.

Latest Patents

Prakash is named on one patent, Systems and Methods for Identifying Hazard Trees. The invention describes processing multiple images of a geographic area containing electrical assets. Convolutional neural networks classify image pixels as hazard-tree or non-hazard-tree pixels, and the system uses the identified pixels to generate polygons corresponding to trees. It then evaluates each polygon’s height and distance from an electrical asset to determine whether the tree may present a hazard. When a potential risk is identified, the system generates and provides a notification. Prakash’s listed portfolio includes 1 patent.

Career Highlights

Prakash’s patent reflects an application of image analysis and machine learning to infrastructure monitoring. By combining tree identification with measurements of height and proximity, the described system can help identify potential vegetation hazards near electrical assets.

Collaborations

Prakash is associated with AiDash, Inc. His listed coworkers include Akshay Patil and Ankur Saxena.

Conclusion

Pranav Prakash’s patent describes an image-based approach to identifying trees that may threaten power distribution assets, connecting machine-learning analysis with practical infrastructure risk monitoring.