Richard Crisp, Vice President and CTO at Etron Technology America, presents the “Specifying and Designing Cameras for Computer Vision Applications” tutorial at the May 2025 Embedded Vision Summit.
Designing a camera system requires a deep understanding of the fundamental principles of image formation and the physical characteristics of its components. Translating computer vision-based system requirements into camera system parameters is a crucial step. In this talk, Crisp provides a comprehensive overview of the key concepts involved in designing or specifying a camera system.
Crisp covers the basics of image formation and the associated physics. He discusses sensor and lens effects that impact image quality, such as diffraction, circle of confusion, and depth of field. He also discusses application-specific requirements, including lighting conditions, frame rate and motion blur. Finally, he present a detailed example illustrating how to translate application requirements into camera parameters, highlighting cost-performance trade-offs. You will gain a thorough understanding of the key factors influencing camera system design and be able to make informed decisions when selecting or designing a camera system.
See here for a PDF of the slides.
