Sensi, Vidi, Intellexi: Developing Imaging Systems on FPGA – from interfacing to processing to understanding

Modern imaging systems rely increasingly on smart, flexible hardware to meet demanding performance and adaptability requirements. FPGAs play a crucial role in enabling this next generation of camera technology by combining processing power with real-time AI integration.

• At ImagingNext 2025, Dr. Alex Lopich will explore how FPGAs enable the development of smart imaging solutions. This session will cover technical aspects of camera design, showing how signal processing, sensor interface, and AI workloads come together in a flexible and high-performance imaging pipeline.

What Is ImagingNext?

ImagingNext is FRAMOS’s annual innovation event dedicated to the future of imaging and machine vision. It brings together industry leaders, researchers, and solution providers to explore cutting-edge trends, real-world applications, and emerging technologies across various sectors. With expert talks, live demonstrations, and networking opportunities, ImagingNext 2025 offers participants a unique chance to gain fresh insights, spark collaboration, and discover how imaging is transforming industries, from robotics and automation to AI and beyond.

Session Overview & Technical Focus

Modern cameras rely on intelligent processing, from simple ISP tuning to fully automatic control of exposure, color balance, and focus (3A). Traditionally, this used computer vision algorithms analyzing abstracted data like histograms.

Dr. Lopich will present a smart camera solution that integrates a native AI inference engine with a flexible imaging pipeline. He will explain how FPGAs enable seamless sensor interfacing, signal fusion, and AI workload integration – creating a powerful synergy between image processing and AI. This allows real-time content analysis and advanced object detection to dynamically fine-tune ISP parameters such as tone mapping, noise reduction, image stabilization, and more.

About the Speaker: Dr. Alex Lopich

Dr. Alex Lopich has over 20 years of experience in vision, video, and sensor design. He gained his PhD in Electrical and Electronic Engineering from the University of Manchester and subsequently held a variety of engineering, research, and leadership roles, developing smart sensors, imaging systems, and AI acceleration IPs, as well as solutions for computer and machine vision.

Alex holds multiple patents, peer-reviewed publications, and presentations on topics related to his research interests in smart sensor design and novel image processing architectures. Alex currently leads the engineering team at Altera, developing solutions for Video and Vision applications.

At ImagingNext, Dr. Alex Lopich brings a deep understanding of FPGA-based smart camera design and AI integration – making his session a must-attend for anyone developing flexible, high-performance imaging systems.

Why You Shouldn’t Miss This Session

If you’re developing imaging systems that demand real-time adaptability and high performance, this session offers insights into FPGA-enabled smart camera design. Dr. Lopich will share practical approaches to leveraging AI for precise control over imaging pipelines, highlighting how cutting-edge hardware and algorithms come together to improve both human and machine vision applications.

Don’t miss the chance to deepen your understanding of how to optimize camera systems with real-time AI-driven processing, reducing development cycles while enhancing flexibility and accuracy.