TensorFlow Lite for On-Device Vision: Edge Processing for Real-Time Image Analysis Author: Benjamin Bazzi First Edition: 2025 Pages: 121 Unlock the future of edge AI with this groundbreaking guide to TensorFlow Lite for on-device vision processing. Released in 2025, this 121-page first-edition book by Benjamin Bazzi empowers developers, engineers, and AI enthusiasts to harness real-time image analysis on resource-constrained devices, revolutionizing applications from smart cameras to autonomous drones. Dive into a structured journey across 13 chapters, starting with TensorFlow Lite fundamentals and computer vision basics, then progressing to environment setup, model building, optimization for peak performance, advanced tasks like object detection and segmentation, real-time pipelines, production deployment, and beyond. Packed with hands-on tutorials, real-world case studies, debugging tips, and insights into emerging trends like federated learning and neuromorphic computing, this practical resource equips you to overcome latency, privacy concerns, and power limitations in edge computing. Whether you're building IoT solutions, mobile apps, or embedded systems, this book delivers the tools to innovate efficiently and deploy intelligent vision at the edge. Don't lag behind in the AI revolution—secure your copy today and bring cutting-edge vision to your devices!