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RISC-V Based AI SoC Module For Embedded Edge AI Systems

The AI SoC Module is a high-performance, power-efficient computing solution designed for next-generation embedded vision. Leveraging the open RISC-V architecture and a dedicated AI acceleration engine, it offers a plug-and-play experience that slashes development cycles by 69%, making it the ideal choice for rapid deployment in smart security, industrial inspection, and IoT applications.

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Product Introduction

Key Advantages

Rapid Deployment & Ease of Integration: Get from unboxing to a running AI vision inference in under 30 minutes. Our streamlined tools and plug-and-play UVC functionality act as a universal USB camera, drastically simplifying prototyping and cutting development time by up to 69%.
Unmatched Cost-Efficiency: Achieve superior performance-per-dollar, reducing total hardware system costs by 30%. Its native compatibility with leading AI frameworks and operating systems protects your software investment and accelerates time-to-market.
Adaptable & Robust Performance: Engineered for versatile deployment across 8 key domains-from industrial automation and smart retail to security and home automation. It features high-efficiency video codecs for smooth, low-latency streaming and flexible connectivity with dual-band Wi-Fi and Gigabit Ethernet.
Design & Development Flexibility: Supports a broad ecosystem of MIPI and DVP interface cameras, allowing optimal sensor choice for any application. The integrated AI accelerator robustly runs complex models for tasks like object detection, classification, and facial recognition right at the edge.

Technical Specifications

Feature	Specification
Core Architecture	High-performance RISC-V Processor
AI Acceleration	Hardware-integrated NPU/AI Engine
Supported Algorithms	Object Detection, Face Recognition, Motion Tracking, etc.
Camera Interfaces	1x MIPI CSI, 1x DVP (Digital Video Port)
Video Codec	High-efficiency H.264/H.265 (Low Latency)
Connectivity	2.4G/5G WiFi + 10/100M Ethernet
USB Function	USB 2.0/3.0 with UVC (Driver-free) support
OS Support	Linux, RTOS, and mainstream AI development environments
Applications	Smart Home, Industrial QC, Security, Robotics (8+ Major Fields)