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Grove - Vision AI Module V2 - Arm Cortex-M55 & Ethos-U55, TensorFlow and PyTorch supported, Arduino, Raspberry Pi, Seeed Studio XIAO, ESP-based dev board compatible


It is an MCU-based vision AI module powered by Himax WiseEye2, featuring Arm Cortex-M55 & Ethos-U55. TensorFlow and PyTorch frameworks are supported. Compatible with Arduino IDE and no code model deployment and immediate visualization of identification results with SenseCraft AI

In stock
  • 10+: $14.20



Kindly take note that the Grove Vision AI V2's Part List does not include a camera. In order to make use of all the features and capabilities of the Grove Vision AI V2, you may need to acquire a CSI camera separately. We recommend using the OV5647-62 FOV Camera Module for Raspberry Pi.  Alternatively, you may opt to purchase it as a bundle on the product page.            


  • Powerful AI Processing Capabilities: Utilizes WiseEye2 HX6538 processor with a dual-core Arm Cortex-M55 and integrated Arm Ethos-U55 neural network unit.
  • Versatile AI Model Support: Easily deploy off-the-shelf or your custom AI models from SenseCraft AI, including Mobilenet V1, V2, Efficientnet-lite, Yolo v5 & v8. TensorFlow and PyTorch frameworks are supported.
  • Rich Peripheral Devices: Includes PDM microphone, SD card slot, Type-C, Grove interface, and other peripherals.
  • High Compatibility: Compatible with XIAO series, Arduino, Raspberry Pi, ESP32 dev board, easy for further development
  • Fully Open Source: All codes, design files, and schematics available for modification and use.


What are the cores?

The Grove - Vision AI V2 is a highly efficient MCU-based smart vision module driven by the Himax WiseEye2 HX6538 processor, featuring a dual-core Arm Cortex-M55 and integrated Arm Ethos-U55 neural network component. It integrates Arm Helium technology, which is finely optimized for vector data processiong, enables a significant uplift in DSP and ML capabilities without compromising on power consumption, which is ideal for battery-powered applications.


How's the performance of Grove Vision AI V2?

To have a quick evaluation of this board's performance, we compared it to Seeed's other MCU-based vision AI boards - Grove Vision AI Module, XIAO ESP32S3 Sense in four areas:

1. Power consumption: This metric indicates whether the board can be used in battery-powered products.

2. Inference time: This metric indicates the processing speed of the MCU and how much latency is involved.

3. Frame rate: This metric evaluates whether the product can capture instant changes, patterns, and movements.

4. Ease of use: We assessed whether this product is user-friendly for vision AI novices and can quickly run mainstream models on the market.



 (Image Credits: Mengdu)



Based on the evaluation results, the Grove Vision AI V2 boasts an impressive inference time of just 33 milliseconds, a fast frame rate of 30.30 FPS, a gaming like smooth experience, and efficient power consumption at only 0.35 watts. These results clearly demonstrate that the Grove Vision AI V2 is a premium choice for high-performance vision processing.

What's on the board?

Grove Vision AI V2 is now compatible with all Pi cameras through a standard CSI interface

Grove Vision AI V2 is not only designed for vision applications but also features an onboard PDM microphone for sound applications. It comes with a SD card slot allows for convenient storage of images, videos, and identification results using an SD card.

With various interfaces like IIC, UART, SPI, and Type-C, this board has expansive capabilities and can be easily connected to popular products such as Seeed Studio XIAO, Grove, Raspberry Pi, BeagleBoard and ESP-based products for further development. For instance, integrating Grove Vision AI V2 with XIAO can effortlessly access the interface and data of Grove Vision AI V2 through Arduino, Micropython, CircuitPython, and PlatformIO, and conveniently connect to the cloud or dedicated servers like Home Assistance.


How to use it?

SenseCraft AI is a platform that enables easy AI model training and deployment with no-code/low-code. It supports Seeed products natively, ensuring complete adaptability of the trained models to Seeed products. Moreover, deploying models through this platform offers immediate visualization of identification results on the website, enabling prompt assessment of model performance.

Ideal for tinyML applications, adding vision AI to your smart sensor with Grove Vision AI V2 is made easy with the SenseCraft AI. Effortlessly deploy off-the-shelf or custom AI models by connecting the device, selecting a model, and viewing identification results.



Hardware Overview




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


Power Supply

Dual 7-pin connector & Type-C & Grove Connector



I2C Interface

Seeed Studio XIAO & Arduino

Downloading & Firmware Burn Interface


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


Earlier MCU-based vision sensors were constrained by limited computing power, typically only supporting simple tasks like face detection. We believe this product surpasses the limits, enabling functionalities that were previously unachievable with traditional MCU-based vision AI sensors, such as:
1. Facial Keypoint Detection: Beyond basic facial recognition, detailed facial keypoint detection is capable of running. It accurately identifies critical features such as eyes, nose, and mouth.
2. Human Pose Estimation: It analyzes key joints and limbs to determine human posture, identifying body parts like arms, legs, torso, and head. This is useful for fitness tracking, posture correction, and motion recognition.
3.Object Detection: It supports powerful models like the Yolo v8n model, which can detect and classify over 80 types of objects.

Part List

Grove Vision AI V2 x1
Cable x1


HSCODE 9031900090
USHSCODE 8517180050
EUHSCODE 9013101000



Write Your Own Review
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  1. Documentation
    Product Quality
    from order view
    Setting up as a training station in the workplace for the other engineers to learn this space and tech.
  2. Documentation
    Product Quality
    from order view
    Very compact solution for ai.
  3. Documentation
    Product Quality
    from order view
    have good documents and great product quality
  4. Documentation
    Product Quality
    from order view
    I'm absolutely thrilled to be a part of Groov AI!
  5. Documentation
    Product Quality
    from order view
    Great development, so much in a so little footprint is amazing!
    A good technical support to start developing your AI application.


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