Company Filing History:
Years Active: 2012-2016
Title: Venkat Krishnamurthy: Innovator in Monitoring Device Systems
Introduction
Venkat Krishnamurthy is a notable inventor based in Acton, MA (US). He has made significant contributions to the field of monitoring device systems, holding a total of three patents. His work focuses on enhancing the efficiency and accuracy of asset localization and radio frequency identification.
Latest Patents
One of his latest patents is titled "Localizing tagged assets in a configurable monitoring device system." This invention involves a method for determining range information that represents the distance between two tags. It also includes estimating parameter information that represents backscatter signals of a marker tag and an asset tag. The system utilizes a plurality of beacon signals to provide a localized tag based on the range and parameter information.
Another significant patent is "Calibration of beamforming nodes in a configurable monitoring device system." This system is designed for radio frequency identification of a tag within an interrogation zone. It includes a calibration node that measures signal strength from a beamforming system and provides signal data accordingly. The reader node adjusts the radio frequency identification signals based on this data, optimizing the system's performance.
Career Highlights
Venkat Krishnamurthy is currently employed at Checkpoint Systems, Inc., where he continues to innovate in the field of monitoring devices. His work has been instrumental in advancing the technology used for asset tracking and identification.
Collaborations
He has collaborated with notable coworkers such as Thomas J Clare and Jasjit Singh Mangat, contributing to various projects that enhance the capabilities of monitoring systems.
Conclusion
Venkat Krishnamurthy's contributions to the field of monitoring device systems through his patents and collaborations highlight his role as an influential inventor. His work continues to impact the efficiency of asset localization and identification technologies.