Grove Vision AI Module V2 Arm Cortex-M55 & Ethos-U55 - Seeed Studio

Seeed Studio

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SKU:
078-101021112
MPN:
101021112
Seeed Studio Grove Vision AI Module V2 features dual Arm Cortex-M55 cores, Ethos-U55 microNPU, CSI camera interface, PDM microphone, SD storage, and SenseCraft AI model deployment. View full description
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Technical Specifications

Brand:
Seeed Studio
Microcontroller:
Himax WiseEye2 HX6538 processor featuring a dual-core Arm Cortex-M55 and integrated Arm Ethos-U55
Onboard Peripherals:
PDM Microphone, SD Card Slot
Rich Interfaces:
CSI, IIC, UART, SPI, and Type-C
Input Voltage:
5V
Power Supply:
Dual 7-pin connector & Type-C & Grove Connector
Rate:
115200
I2C Interface:
Seeed Studio XIAO & Arduino
Downloading & Firmware Burn Interface:
Type-C
Frequency(ARM Cortex-M55 Processor(Big)):
Up to 400MHz
Frequency(ARM Cortex-M55 Processor(Little)):
Up to 150MHz
Frequency(ARM Ethos-U55 MicroNPU):
Up to 400MHz
Memory Card Interface:
Up to 1x SD and SDIO host, support DS mode, up to 25MHz
Internal System Memory:
Configurable system memory, up to 2432KB , 64KB boot ROM

Warranty Information

All the products supplied by Evelta are genuine and original. We offer 14 days replacement warranty in case of manufacturing defects. For more details, please visit our cancellation and returns page.

Description

Resources:

Seeed Studio Grove Vision AI Module V2 with Dual Cortex-M55, Ethos-U55 microNPU and SenseCraft AI Support

The Seeed Studio Grove Vision AI Module V2 is a compact MCU-based edge-AI vision module built around the Himax WiseEye2 HX6538 processor. It combines 2 Arm Cortex-M55 processing cores with an integrated Arm Ethos-U55 microNPU, allowing image processing and compatible machine-learning inference to run locally without relying on a cloud service or the connected host controller. The high-performance Cortex-M55 core operates at up to 400 MHz, while the efficiency-oriented Cortex-M55 core reaches 150 MHz, providing a flexible architecture for always-on vision and embedded-AI applications.

The module features a standard CSI camera interface, onboard PDM digital microphone, SD card slot, USB Type-C, Grove connector, I2C, UART, and SPI connectivity. Through SenseCraft AI, developers can deploy supported ready-made or custom models, including MobileNet V1/V2, EfficientNet-Lite, YOLOv5, and YOLOv8 workflows, with TensorFlow and PyTorch support. Compatibility with Seeed Studio XIAO, Arduino, Raspberry Pi, ESP32-based boards, and other controllers makes the module suitable for object detection, pose estimation, visual monitoring, smart sensors, industrial automation, and TinyML development.

Key Features

  • WiseEye2 HX6538 AI Processor: Uses the Himax WiseEye2 HX6538 architecture developed for always-on smart sensing and embedded-AI applications.
  • Dual Arm Cortex-M55 Cores: Combines a high-performance Cortex-M55 core with a power-efficient Cortex-M55 core for flexible edge processing.
  • 400 MHz High-Performance Core: Main Cortex-M55 processor operates at up to 400 MHz for image processing and application workloads.
  • 150 MHz Efficiency Core: Secondary Cortex-M55 processor operates at up to 150 MHz for lower-power processing tasks.
  • Arm Ethos-U55 microNPU: Integrated neural-processing accelerator executes compatible machine-learning workloads efficiently on-device.
  • 400 MHz microNPU: Ethos-U55 neural-processing unit operates at up to 400 MHz.
  • 64 MACs/Cycle: Ethos-U55 implementation provides 64 multiply-accumulate operations per cycle for accelerated neural-network inference.
  • Arm Helium Technology: Cortex-M55 cores include vector-processing extensions designed to accelerate DSP and machine-learning workloads.
  • Up to 2432 KB System Memory: Configurable internal memory supports model execution, image processing, and embedded applications.
  • 64 KB Boot ROM: Integrated boot memory supports device startup and system operation.
  • SenseCraft AI Support: Enables no-code or low-code deployment of compatible trained AI models to the module.
  • Multiple AI Models: Supports compatible MobileNet V1/V2, EfficientNet-Lite, YOLOv5, and YOLOv8 models.
  • TensorFlow Support: Supports deployment workflows based on compatible TensorFlow models.
  • PyTorch Support: Compatible PyTorch models can be prepared and deployed through supported AI toolchains.
  • On-Device AI Processing: Image processing and inference are performed locally on the HX6538 instead of relying on the host controller.
  • Standard CSI Camera Interface: Supports compatible CSI cameras, including selected Raspberry Pi camera modules.
  • Onboard PDM Microphone: Enables audio acquisition for multimodal sensing, voice detection, and acoustic AI applications.
  • SD Card Slot: Provides removable storage for data, model resources, images, and application files.
  • Grove Interface: Simplifies integration with Arduino-compatible boards and other Grove-based systems.
  • I2C Communication: Allows processed inference results to be transferred efficiently to compatible host controllers.
  • UART Interface: Provides serial communication for integration, debugging, and data transfer.
  • SPI Interface: Supports high-speed synchronous peripheral communication.
  • USB Type-C: Used for power, firmware downloading, configuration, and development.
  • 5 V Input: Designed for straightforward integration with common development-board power systems.
  • XIAO Compatible: Can operate as an AI expansion module for compatible Seeed Studio XIAO boards.
  • Broad Host Compatibility: Supports integration with Arduino, Raspberry Pi, ESP32-based boards, and other embedded controllers.
  • Open-Source Hardware Platform: Code, schematics, design files, and related development resources are available for customisation.
  • Camera Purchased Separately: The standard module does not include a CSI camera unless purchased as part of a camera or XIAO kit.

Applications

  • Object detection
  • Person detection
  • Facial key-point detection
  • Human pose estimation
  • Smart cameras
  • TinyML applications
  • Edge-AI sensing
  • Industrial quality inspection
  • Predictive-maintenance systems
  • Machine-vision prototypes
  • Smart agriculture
  • Equipment monitoring
  • Smart-city sensors
  • Occupancy monitoring
  • Embedded vision systems
  • Robotics
  • Mobile IoT devices
  • Audio and visual sensing
  • Automation systems
  • AI-enabled sensor nodes

Hardware Overview

Package Includes:

  • Grove Vision AI V2 (camera not included)x1
  • Cablex1