This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Datalogic IP Tech S.r.l.. Active years: 2016.
Company Filing History:
Years Active: 2016
Title: Fiorella Sgallari: Innovator in Machine-Readable Symbol Recognition
Introduction
Fiorella Sgallari is a prominent inventor based in Zola Predosa, Italy. She has made significant contributions to the field of machine-readable symbols, particularly in developing systems and methods for recognizing highly blurred or distorted images. Her innovative work has the potential to enhance various applications in technology and data processing.
Latest Patents
Fiorella holds a patent for "Systems, methods and articles for reading highly blurred machine-readable symbols." This patent focuses on robust recognition techniques for machine-readable symbols from highly blurred images. The invention involves transforming an image signal representation of a machine-readable symbol element into a different space using various transform operations. These operations include blur robust orthonormal bases such as the Discrete Sine Transform, Discrete Cosine Transform, Chebyshev Transform, and Lagrange Transform. Additionally, a trained classifier, such as an artificial intelligence machine learning algorithm, is utilized to classify the transformed signal in the new space.
Career Highlights
Fiorella Sgallari is associated with Datalogic IP Tech S.r.l., where she applies her expertise in machine-readable symbol recognition. Her work at Datalogic has allowed her to contribute to advancements in technology that improve the efficiency and accuracy of data reading systems.
Collaborations
Fiorella collaborates with notable colleagues, including Francesco Deppieri and Maurizio Aldo De Girolami. These partnerships enhance her research and development efforts, fostering innovation in her field.
Conclusion
Fiorella Sgallari is a trailblazer in the realm of machine-readable symbol recognition, with her patent and work at Datalogic IP Tech S.r.l. showcasing her commitment to innovation. Her contributions are paving the way for advancements in technology that can significantly impact various industries.