Sensor Imaging Systems for Real-Time Applications 1st Edition

Sensor Imaging Systems for Real-Time Applications (1st Edition) — a definitive, practical guide for engineers, researchers, and developers working with imaging sensors and low-latency vision systems worldwide (by).

Grab attention with a clear roadmap to designing and deploying modern sensor imaging systems. This book demystifies the intersection of optics, electronics, and algorithms that power real-time imaging in robotics, automotive ADAS, surveillance, medical imaging, industrial inspection, and aerospace. Rich with examples, it translates theory into actionable design choices for real-world projects.

Explore the core building blocks of real-time imaging: sensor architectures, pixel design, signal conditioning, high-speed interfaces, and on-device processing with FPGA and GPU. Learn how to manage bandwidth, minimize latency, and optimize frame rates while preserving image quality under challenging lighting and motion. Coverage includes practical topics like embedded vision pipelines, synchronization, time-stamping, and system-level trade-offs that matter to practitioners across North America, Europe, and Asia.

Picture the benefits: faster prototype cycles, more reliable deployments, and measurable performance gains in your vision applications. Whether you’re an experienced systems engineer or a graduate student moving into industry, this edition arms you with design patterns, performance metrics, and troubleshooting strategies to accelerate development.

Ready to elevate your imaging projects? Add Sensor Imaging Systems for Real-Time Applications (1st Edition) to your library and gain a practical, globally relevant reference that turns sensor theory into dependable, high-performance solutions. Order now to start building smarter, faster imaging systems.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.