Optimizing the Camera System for Vision AI Applications: An End-to-End Investigation

Imagine developing a vision AI product and knowing – before building a single prototype – that your camera system will deliver the right data for your model. This session explores how to make that possible by evaluating and optimizing each component of the imaging pipeline.

• At ImagingNext 2025, Giuseppe Contini will take attendees through a full end-to-end analysis of the camera system – from lens and sensor selection to preprocessing and ISP tuning. He’ll explain how component specifications and manufacturing tolerances influence image quality before it ever reaches the AI stage – and how those early decisions impact downstream performance.

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.

Simulating Imaging Performance with Digital Twins

The session also introduces the use of digital twins to simulate and assess optimal system configurations. This technique allows engineers to evaluate and fine-tune imaging setups virtually, enabling better design choices while reducing physical prototyping, cost, and time-to-market.

About the Speaker: Giuseppe Contini

Giuseppe Contini is a Computer Science Engineer with over two decades of experience in imaging systems software and hardware. Over the past seven years at FRAMOS, he’s supported clients by providing custom design solutions from requirements to mass production.

With a dedication to research and development, Giuseppe has not only advanced the field but also contributed to establishing FRAMOS as a trusted partner for clients worldwide. As a Technical Imaging Expert, he continues to drive innovation and contribute significantly to the growth of computer vision technology.

At ImagingNext, Giuseppe Contini offers an in-depth look at optimizing imaging systems for AI applications – making his session essential for anyone aiming to enhance AI accuracy through smarter camera design.

Why You Shouldn’t Miss This Session

If you want to understand how every part of the camera system—from lens to ISP tuning—impacts the performance of AI models, this session is for you. Giuseppe will share insights on using digital twins to optimize imaging setups before building physical prototypes, helping reduce costs and accelerate product development.

Whether you’re designing new AI vision products or improving existing ones, this talk offers practical strategies to achieve the best results.