Grove Vision AI v2 - Arm Cortex-M55 & Ethos-U55, TensorFlow and PyTorch supported, Arduino, Raspberry Pi, xiao ESP32C3

Features:

🌱 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.

Product Description:

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, 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:

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 Kit:

Grove Vision AI v2     *1

OV5647 Camera Module      *1

Seeed Studio XIAO ESP32 C3      *!

Grove Vision AI v2

Grove Vision AI V2    *1

Cable     *1

Documentations

HX6538 Datasheet

Himax examples for Seeed Grove Vision AI Module V2