This inventor holds 3 USPTO granted patents. Top assignees: Indiana University, USA as Represented by Secretary of the Navy, The University of North Carolina at Chapel Hill. Active years: 2017-2020.
Company Filing History:


Years Active: 2017-2020
Title: Apu Kapadia: Innovator in Mobile Sensory Devices and 3D Modeling
Introduction
Apu Kapadia is a notable inventor based in Bloomington, IN (US). He has made significant contributions to the fields of mobile sensory devices and 3D modeling. With a total of 3 patents, his work focuses on enhancing privacy and improving the efficiency of image processing.
Latest Patents
Kapadia's latest patents include a "Method and system of enforcing privacy policies for mobile sensory devices." This invention provides a method and device for classifying collected images. The system includes instructions to compare a captured image to a known set of images to determine the location depicted therein. It applies a classification upon the image based on the determined location and whether it indicates the potential to depict privacy-sensitive information. Another significant patent is the "Method and apparatus for virtual 3D model generation and navigation using opportunistically captured images." This invention allows for the opportunistic collection of images via a mobile device, utilizing algorithms that facilitate the creation of a 3D model while minimizing storage needs.
Career Highlights
Apu Kapadia has worked with prestigious institutions, including Indiana University and the United States as represented by the Secretary of the Navy. His work in these organizations has allowed him to develop and refine his innovative ideas.
Collaborations
Some of his notable coworkers include Robert E. Templeman and David Crandall. Their collaboration has contributed to the advancement of technology in their respective fields.
Conclusion
Apu Kapadia's contributions to mobile sensory devices and 3D modeling demonstrate his innovative spirit and commitment to enhancing technology. His patents reflect a deep understanding of privacy and efficiency in image processing.