Edge AI and Sensor Integration with Raspberry Pi

Elevating Mobile Platforms with Cutting-Edge Technology

By: Barrett Williams

Narrated by: Virtual Voice

Unlock the potential of edge AI and sensor technology with "Edge AI and Sensor Integration with Raspberry Pi," your essential guide to developing intelligent, autonomous systems on a shoestring budget. This comprehensive eBook serves as your roadmap to mastering the integration of AI and robust sensor systems using the incredibly versatile Raspberry Pi platform.

Dive into the world of micro-mobile platforms, where you’ll discover why Raspberry Pi is the perfect choice for small rovers and drones. Learn how to navigate the practical constraints of power, weight, latency, and cost while achieving real-time multi-sensor fusion for tasks like obstacle avoidance and simultaneous localization and mapping (SLAM).

Explore the optimal selection of Raspberry Pi hardware and the myriad expansion options available, including power systems, thermal management, and mechanical mountings tailored for mobile use. Illuminate your understanding of camera systems, inertial measurement units (IMUs), ultrasonic sensors, and LiDARs. This eBook exhaustively covers the depths of sensor selection and integration, ensuring precise and reliable data collection.

Understand the intricacies of operating systems, drivers, middleware, and containerization for reproducible deployments. Delve into cutting-edge AI frameworks, discover model acceleration techniques, and learn to deploy robust edge AI models effectively.

Embark on a thrilling journey of system design, from crafting real-time data pipelines to optimizing concurrency and scheduling on constrained hardware. Learn to fuse data from multiple sensors into a cohesive, reliable whole, crucial for navigation and terrain mapping.

Bring theory into practice with detailed, step-by-step projects, including building autonomous micro-rovers and vision-stabilized drones. Whether you’re an enthusiast or a professional, this eBook equips you with the strategies and insights needed to push the boundaries of what's possible with Raspberry Pi, paving the way for innovation in AI-driven sensor integration.