Raspberry Pi Al HAT+ 2

Description

Building on the success of the original AI HAT+, it has been fully upgraded to efficiently accelerate selected Large Language Models (LLMs) and Vision-Language Models (VLMs), specifically designed for Raspberry Pi 5. It offers an accessible, cost-effective, and energy-efficient way to integrate high-performance artificial intelligence technology. Widely applicable to scenarios such as intelligent monitoring, smart home control, robotics development, industrial process inspection, and intelligent interactive terminals.

Feature

• Built-in Hailo AI Accelerator: Equipped with a Hailo AI accelerator delivering 40 TOPS (INT4). It offers vision capabilities equivalent to the AI HAT+ while adding support for LLMs and VLMs.
• Expected LLM/VLM support at launch:
• Llama-3.2-3B-lnstruct
• 5-VL-3B
• ASR (whisper-base)
• Seamless Integration: Fully integrated into the Raspberry Pi camera software stack, offering native support for AI-driven post-processing tasks via the built-in rpicam applications.
• Easy Installation: The AI HAT+ 2 comes with a 16mm stacking header, spacers, and screws, allowing for effortless mounting on the Raspberry Pi 5 even when an Active Cooler is installed.
• Energy Efficient: Designed for high-performance AI, the AI HAT+ 2 delivers impressive processing power while maintaining low power consumption.
• Versatile Application Support: Supports a wide range of AI applications, including object detection, pose estimation, intelligent dialogue, and image understanding, significantly enhancing the capabilities of Raspberry Pi projects.

Application

• Manufacturing & Industrial Automation: Leveraging high-speed PCIe connectivity and powerful computing performance, this solution enables precision quality inspection, autonomous robotic control, and predictive maintenance. It delivers real-time multi-tasking decision-making at the edge, significantly enhancing factory digitalization and operational efficiency.
• Multimodal Video Analytics & Security: Empowered by Vision-Language Models (VLM), the system supports behavioral recognition, anomaly detection, and real-time semantic alerts. The onboard 8GB memory ensures seamless concurrent processing of multiple high-definition video streams, providing deep situational awareness for modern security.
• Smart Retail & Edge Gateways: Optimize operations through real-time product recognition, customer behavior analytics, and traffic management. Its local LLM inference capability ensures robust data security and efficient infrastructure control for smart buildings and retail environments, even in offline scenarios.
• Higher Education & Engineering Practice: Designed as a next-generation AI teaching tool and course project kit, it supports curriculum development in deep learning and edge computing. Its user-friendly ecosystem allows students to bridge the gap between algorithm simulation and physical prototype development effectively.
• Developer Innovation & Prototyping: Provides developers with a high-performance Generative AI inference engine to accelerate projects like ASR voice assistants and vision-based robotics. The exceptional power-to-performance ratio enables individuals to transform creative ideas into commercial-grade prototypes with minimal cost.