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Home Sensors Energy Tracking Devices
Product Details

Please be advised that the Grove Vision AI Module V2 does not come with a camera included in its Part List. If you intend to fully utilize the features and capabilities of this product, you may need to separately obtain a CSI camera. For optimal results, we suggest investing in the OV5647-62 FOV Camera Module for Raspberry Pi. Alternatively, you can also purchase it as a bundle on the product page.            

Features

  • Powerful AI Processing Capabilities: Utilizes 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 , 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.

Description

What are the cores?

The Grove - Vision AI V2 is a technologically advanced MCU-based smart vision module powered by the Himax WiseEye2 HX6538 processor. It boasts a dual-core Arm Cortex-M55 and integrated Arm Ethos-U55 neural network component, utilizing Arm Helium technology for highly efficient vector data processing. This results in a substantial improvement in DSP and ML capabilities without sacrificing power consumption, making it 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 - ,  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.

According to the evaluation, the Grove Vision AI V2 showcases a remarkable inference time of 33 milliseconds, a speedy frame rate of 30.30 FPS, and a low power consumption of only 0.35 watts. These findings prove that the Grove Vision AI V2 is a top choice for effective and efficient visual processing.
 

What's on the board?

Grove Vision AI V2 is now compatible with the OV5647 camera module through a standard CSI interface. We're also developing support for more camera versions,

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?

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 . Effortlessly deploy off-the-shelf or custom AI models by connecting the device, selecting a model, and viewing identification results.

Hardware Overview

Specification

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

Applications

  • Industrial automation: quality inspection, predictive maintenance, voice control, etc.
  • Smart city: equipment monitoring, energy management, etc.
  • Transportation: status monitoring, location tracking, etc.
  • Intelligent agriculture: environmental monitoring, etc.
  • Mobile IoT devices: wearable devices, handheld devices, etc.

 Part List

Grove Vision AI V2 x1
Cable x1

ECCN/HTS

HSCODE 9031900090
USHSCODE 8517180050
UPC
EUHSCODE 9013101000
COO CHINA
Grove - Vision AI Module V2 - Arm Cortex-M55 & Ethos-U55
  • Localstock
  • Overseasstock

$ 32.46

$ 32.46

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