# Grove - Vision AI Module V2

**Type:** Product page · **SKU:** SS101021112 · **Brand:** [Seeed Studio](https://core-electronics.com.au/brands/seeed-studio-australia)
**Page:** https://core-electronics.com.au/grove-vision-ai-module-v2.html ([markdown](https://core-electronics.com.au/grove-vision-ai-module-v2.html.md))

It is an MCU-based vision AI module powered by Arm Cortex-M55 & Ethos-U55. TensorFlow and PyTorch frameworks are supported. Compatible with Arduino IDE...

## Pricing

- **Price:** $34.70 (inc GST) — $31.55 AUD, exc GST
- **Quantity discounts:** 10+ $30.28 (exc GST) · 25+ $29.34 (exc GST)

## Availability & dispatch

- Available with a lead time — expect dispatch between Sep 01 and Sep 03.

## Description

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**.

## Features

- **Powerful AI Processing Capabilities:** Utilizes [WiseEye2 HX6538 processor](https://www.himax.com.tw/products/intelligent-sensing/always-on-smart-sensing/wiseeye2-ai-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](https://seeed-studio.github.io/SenseCraft-Web-Toolkit/#/setup/process), 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, ESP dev board, easy for further development
- **Fully Open Source:** All codes, design files, and schematics available for modification and use.
 
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](https://core-electronics.com.au/arducam-5mp-ov5647-1080p-autofocus-camera.html).

****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](https://core-electronics.com.au/seeed-studio-xiao-esp32s3-54467.html) 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.

## Documents:

- [WIki & Learn](https://wiki.seeedstudio.com/grove_vision_ai_v2/)

## Guides for this product

- [Getting Started with the Grove Vision AI V2 \| Power Efficient Object Detection](https://core-electronics.com.au/guides/sensors/getting-started-with-the-grove-vision-ai-v2-power-efficient-object-detection/)

## Videos for this product

- [Getting Started with the Grove Vision AI V2 \| Power Efficient Object Detection](https://core-electronics.com.au/videos/getting-started-with-the-grove-vision-ai-v2-power-efficient-object-detection)

## Images

- [Product image 1](https://core-electronics.com.au/media/catalog/product/S/S/SS101021112-1.jpg)