Sipeed M3AXPI - 14.4 TOPS AI Vision Board - Low light night vision

• Quick Start:
  
  WIKI
  AI Model (MaixHub)
  
  
• Tips
  
  Raspberry Pi and Jetson Nano boards are really popular because of their good performance, but now MAIX-III AXera-Pi comes out, equipped with the high-performance 3.6TOPs@INT8 chip ax620a, which will be your good choice and provide you a really good experience.
  
  

Introduction

M3AXPI is an AI board developed by SIPEED, which belongs to MAIX-III AXera-Pi series. This board is designed for embedded system and intelligent hardware development, with rich functions and flexible application scenarios. In the following, we will analyze the definition and functions of M3AXPI, its usage, application scenarios and other aspects in detail from various angles to provide you with a comprehensive understanding.

M3AXPI integrates a variety of sensors and peripheral device interfaces to support a variety of AI application development. Its core processor adopts NPU (Neural Processing Unit) or similar dedicated AI processing unit, which can efficiently perform deep learning and machine learning tasks.M3AXPI usually includes input and output devices such as Wi-Fi, Bluetooth, camera, microphone, etc., which can realize image capture, voice processing, data analysis and other functions.

Features

• AI application development: supports mainstream AI frameworks such as TensorFlow, PyTorch, etc., suitable for model training and inference.
• Multimedia processing: supports video codecs, capable of processing and playing high-definition video streams.
• Sensor Data Processing: Capable of collecting and processing data from various types of sensors, such as temperature, humidity, light, and so on.
• Network communication: Supports wired and wireless network communication, which facilitates the interconnection of devices.

Shipping List

Application

Intelligent Surveillance: utilizing cameras for real-time analysis of video streams and event response.

Edge computing: data processing in close proximity to the data source to reduce the pressure on the cloud.

Intelligent Robotics: Integrate multiple sensors to realize autonomous navigation and interaction functions for robots.

Education and R&D: serve as a teaching and research platform for practicing and exploring AI and IoT technologies.