Grenoble, France

Harsimrat Singh Sandhawalia


Average Co-Inventor Count = 5.3

ph-index = 2

Forward Citations = 7(Granted Patents)


Company Filing History:


Years Active: 2013-2017

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2 patents (USPTO):Explore Patents

Title: Harsimrat Singh Sandhawalia: Innovator in Vehicle Classification Technologies

Introduction

Harsimrat Singh Sandhawalia is an accomplished inventor based in Grenoble, France. He has made significant contributions to the field of vehicle classification through innovative technologies. With a total of 2 patents, his work focuses on enhancing the efficiency and accuracy of vehicle identification systems.

Latest Patents

Harsimrat's latest patents include "Vehicle classification from laser scanners using fisher and profile signatures" and "Methods and systems for improving yield in wanted vehicle searches." The first patent describes a method where one or more vehicles can be scanned using a laser scanner to compile data indicative of their optical profiles. This data is then pre-processed, and particular features are extracted to classify the vehicles based on these features. The second patent outlines a system for generating synthetic license plate images to assist law enforcement in identifying target vehicles. By matching signatures from authentic license plate images with those of synthetic images, law enforcement can be alerted when a target vehicle is detected.

Career Highlights

Harsimrat has worked with notable companies such as Conduent Business Services and Xerox Corporation. His experience in these organizations has allowed him to develop and refine his innovative ideas in vehicle classification technologies.

Collaborations

Harsimrat has collaborated with professionals like Jose Antonio Rodriguez Serrano and Herve Poirier, contributing to the advancement of his projects and patents.

Conclusion

Harsimrat Singh Sandhawalia's work in vehicle classification technologies showcases his innovative spirit and dedication to improving vehicle identification systems. His patents reflect a commitment to enhancing law enforcement capabilities and vehicle classification accuracy.

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