Charlotte, NC, United States of America

Mayuri Deshpande

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Siemens Aktiengesellschaft. Active years: 2024.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Mayuri Deshpande: Innovator in Machine Learning-Based Safety Systems

Introduction

Mayuri Deshpande is a prominent inventor based in Charlotte, NC (US). She has made significant contributions to the field of machine learning, particularly in developing fail-safe systems that enhance safety in various environments. Her innovative approach combines advanced technology with practical applications, showcasing her expertise and dedication to improving safety standards.

Latest Patents

Mayuri holds a patent for a groundbreaking invention titled "Machine learning-based environment fail-safes through multiple camera views." This computing system is designed to utilize data captured by multiple cameras positioned within an environment. During the learning phase, the system generates training data and constructs a human detection model. In the active phase, it accesses camera data to identify target objects and execute fail-safe actions when a human is detected. This invention highlights her commitment to leveraging technology for safety enhancements.

Career Highlights

Mayuri Deshpande is currently employed at Siemens Aktiengesellschaft, where she continues to innovate and develop cutting-edge technologies. Her work at Siemens allows her to collaborate with other talented professionals in the field, further advancing her contributions to machine learning and safety systems.

Collaborations

One of her notable coworkers is Anant Kumar Mishra, with whom she collaborates on various projects. Their combined expertise fosters a creative environment that drives innovation and enhances the effectiveness of their work.

Conclusion

Mayuri Deshpande is a trailblazer in the realm of machine learning and safety systems. Her patent and ongoing work at Siemens demonstrate her commitment to innovation and the advancement of technology for safer environments.

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