Computer Vision Algorithms for High Performance Embedded Digital Cameras: from the prototype to the product

11 Dicembre 2023
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Francesco De Gioia e Luca Barbaro (Alkeria)
11 dicembre dalle ore 15:00 alle ore 18:00 nell’aula F2 del Polo "E.Vitale" (ex Etruria)

 

Abstract
High-performance embedded digital cameras are currently revolutionizing the field of computer vision, introducing a new era of advanced applications and solutions. These cameras, designed for seamless integration into various platforms, offer enhanced processing power with reduced power consumption, a small memory footprint, and lower system cost. The role of Artificial Intelligence (AI) in this context is pivotal. AI, particularly machine learning and deep learning, enables computer vision systems to comprehend, identify, and analyze various kinds of visual input with high variability. In industrial applications, embedded vision systems powered by these cameras are being deployed for quality control systems, vision-guided robotics, packaging inspection, and more. In the medical field, they are helping in microscopy, multispectral imaging, lab automation, and more. The advent of AI-driven computer vision has made autonomous cars a reality, enabling them to understand their surroundings. High-performance embedded digital cameras and AI is not just the future of computer vision, it is the future of numerous industries, promising unprecedented levels of efficiency, accuracy, and automation.

Francesco de Gioia - Short Bio
Francesco de Gioia is currently the lead Software Engineer at Alkeria working on high-performance algorithms for digital cameras for industrial and scientific applications. He graduated (cum laude) in Embedded Computing Systems at Pisa University in 2018 and received the PhD in Computer Engineering in 2022. His main research interests involve computer vision algorithms for industrial applications for resource-constrained embedded digital cameras.

Luca Barbaro - Short Bio
Luca Barbaro is currently Digital Design Engineer at Alkeria working in the design and verification on FPGA for digital cameras for industrial and scientific applications. He graduated in Electronic Engineering at Pisa University in 2023 with a thesis on "Design and implementation on FPGA of an HDR (High Dynamic Range) algorithm for industrial digital cameras" developed in collaboration with Alkeria.