Company Filing History:
9 out of 18 
1 out of 574 Years Active: 2024-2025
Title: Innovations by Manuel Gerardo Garcia
Introduction
Manuel Gerardo Garcia is an accomplished inventor based in Austin, TX, with a remarkable portfolio of eight patents. His work primarily focuses on advancements in material classification and sorting technologies, particularly utilizing x-ray fluorescence spectroscopy.
Latest Patents
One of his latest patents addresses correction techniques for material classification. When x-ray fluorescence ('XRF') spectroscopy is employed to classify materials on a moving conveyor belt, the x-ray beam may only partially irradiate the material piece. This can lead to inaccurate XRF spectra, resulting in erroneous classifications. Garcia's innovation measures the intersections between the x-ray beam spots and the material pieces, allowing for corrections to the measured XRF spectrum. Consequently, the material pieces can be sorted accurately based on the corrected spectrum. Another significant patent involves a material handling system that sorts mixed materials using a combination of a spectroscopic sensor and a vision system powered by artificial intelligence. This system can effectively identify and classify materials, sorting them into distinct groups, particularly aluminum alloys typically found within Zorba.
Career Highlights
Garcia has made significant contributions to the field through his work with Sortera Technologies, Inc. and Battelle Energy Alliance, LLC. His expertise in material handling systems and classification technologies has positioned him as a leader in his field.
Collaborations
Throughout his career, Garcia has collaborated with notable professionals, including Nalin Kumar and Isha Kamleshbhai Maun. These collaborations have further enhanced his innovative capabilities and contributions to the industry.
Conclusion
Manuel Gerardo Garcia's innovative work in material classification and sorting technologies has made a significant impact in his field. His patents reflect a commitment to improving accuracy and efficiency in material handling systems.