Applied Computer Vision through Artificial Intelligence

Applied Computer Vision through Artificial Intelligence

Unlock the power of machine sight and transform raw visual data into intelligent, actionable insights. Applied Computer Vision through Artificial Intelligence provides a definitive, engineering-first roadmap to the most transformative field in modern AI. Learn how to move beyond basic image processing to high-performance, autonomous visual recognition—bridging the gap between pixel-level data and cognitive understanding—ensuring your digital systems are equipped for the 2026 landscape of automated intelligence.

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What You Will Learn:

Deep Learning for Vision: Master the core architectures of Convolutional Neural Networks (CNNs) and Vision Transformers used for object detection and image segmentation.

Real-Time Object Tracking: Step-by-step guidance on implementing high-velocity tracking algorithms for surveillance, robotics, and industrial automation.

Advanced Feature Extraction: Discover how to utilize AI to identify complex patterns, facial features, and structural anomalies within large-scale datasets.

Edge AI & Deployment: Learn advanced techniques for optimizing computer vision models for resource-constrained devices, ensuring low-latency performance in the field.

Who This Book is For: This professional-grade guide is essential for AI Engineers, Computer Vision Researchers, and Data Scientists. It is an invaluable resource for any technical lead—including those building security-focused graduation projects like Smart Guard—aiming to master the visual surveillance and monitoring protocols that define modern information security.

Product Details:

Format: Digital PDF Download

Authors: Jasminder Kaur Sandhu; Abhishek Kumar; Rakesh Sahu; Sachin Ahuja

Publisher: Wiley-IEEE Press

ISBN-13: 9781394272600

ISBN-10: 139427260X