As industries move toward intelligent, adaptive, and efficient manufacturing processes, the integration of (artificial intelligence) AI, (Internet of Things) IoT, signal processing, and computer vision is crucial. This book serves as a comprehensive guide for professionals, researchers, and academics seeking to leverage the power of cutting-edge technologies in the field of smart manufacturing. Smart Manufacturing with AIoT: Signal Processing, Computer Vision, and Data Analytics is a comprehensive guide that focuses on practical implementation, bridging the gap between theoretical concepts and real-world applications. Each chapter of this book explores a different aspect of the synergy between AI, IoT, signal processing, and computer vision, starting with foundational concepts and progressing toward advanced applications. From enhancing quality control processes to implementing proactive maintenance strategies and enabling dynamic threat assessment, this book covers a wide range of topics that define the contemporary landscape of smart manufacturing. This book explores the intricate details of AIoT, signal processing, and computer vision, providing valuable insights for both beginners and experienced professionals in the field. Readers will gain actionable knowledge that empowers them to implement transformative solutions in their smart manufacturing environments.