Sunnyvale, CA, United States of America

Kapil Mohan

This inventor holds 4 USPTO granted patents and 3 published patent applications. Top assignee: Adentro, Inc.. Active years: 2022-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kapil Mohan. Retrieved from https://idiyas.com/inventor/kapil-mohan

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

Calculating rank
USPTO Granted Patents = 4 

% Patents Active = 100.0

Average Co-Inventor Count = 4.3

ph-index = 2

Forward Citations = 9(Granted Patents)


Company Filing History:


Years Active: 2022-2025

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4 patents (USPTO):Explore Patents

Title: Innovations by Kapil Mohan in Device Detection Technology

Introduction

Kapil Mohan is an accomplished inventor based in Sunnyvale, CA. He has made significant contributions to the field of device detection technology, holding a total of 4 patents. His work focuses on integrating machine learning with device detection systems to enhance user experience in physical venues.

Latest Patents

One of Kapil Mohan's latest patents is a machine-learning model for detecting a device within a venue. This innovative model is designed to determine whether a device is located within a specific venue by analyzing wireless pings from mobile devices during a baseline time period. The system evaluates device parameters to ascertain if a mobile device has entered the venue or remains outside. It trains a model on data from the baseline period to differentiate between devices that enter and those that do not. This model is then applied to future detected devices to make real-time determinations.

Another notable patent is the integration of content distribution systems with device detection systems in physical venues. This system determines the location of devices within a venue and provides user identifiers to an anonymization server. The server then generates anonymous identifiers that are used by a content distribution system to deliver targeted content items to users. This innovative approach allows for the identification of users who received content and subsequently visited the venue.

Career Highlights

Kapil Mohan currently works at Adentro, Inc., where he continues to develop cutting-edge technologies in device detection. His expertise in machine learning and system integration has positioned him as a key player in the industry.

Collaborations

Throughout his career, Kapil has collaborated with talented individuals such as Kai Umezawa and Muhammad Ahsan Mirza. These collaborations have further enriched his work and contributed to the advancement of technology in his field.

Conclusion

Kapil Mohan's innovative patents and contributions to device detection technology demonstrate his commitment to enhancing user experiences in physical venues. His work continues to influence the industry and pave the way for future advancements.

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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