Feature

• Powerful AI Processing Capabilities: Utilizes WiseEye2 HX6538 processorwith 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 fromSenseCraft 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.

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:

These results clearly demonstrate that the Grove Vision AI V2 is a premium choice for high-performance vision processing.

What's on the board?

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

Hardware Overview

Application

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.

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.