Grove - Vision AI Module V2
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Grove - Vision AI Module V2 The Grove Vision AI Module V2 is the perfect solution for AI enthusiasts and professionals. It is compact, versatile, feature-rich, highly compatible, user-friendly, power-efficient, and fully open source. Powered by the Himax WiseEye2 HX6538 processor, it ensures the highest quality and durability. Its dual-core Arm Cortex-M55 and Arm Ethos-U55 neural network unit provide exceptional AI processing capabilities. The module's PDM microphone, SD card slot, and Type-C interface offer comprehensive functionality, making it ideal for sound and vision applications. Compatible with Arduino IDE, Raspberry Pi, Seeed Studio XIAO, and ESP-based dev boards, it suits various development environments. With SenseCraft AI, users can deploy models with no code and visualize results immediately. The module operates efficiently at only 0.35 watts, perfect for battery-powered applications. Fully open source, it invites community collaboration. The Grove Vision AI Module V2 measures 25mm x 25mm, making it suitable for developers of all skill levels. Available in the standard Grove form factor, it supports a wide range of projects and offers extensive support to developers. 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. Applications: 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: 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. 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. Object Detection: It supports powerful models like the Yolo v8n model, which can detect and classify over 80 types of objects.
- Dual-core Arm Cortex-M55 + Ethos-U55 NPU for edge AI
- Supports YOLO v8n, MobileNet, EfficientNet models
- Ultra-low power: 0.35W operation
- PDM mic, SD slot, Type-C, and Grove interface
- Compatible with Arduino, Raspberry Pi, ESP32, XIAO
- Fully open source hardware and software
- 25mm x 25mm compact form factor
- Edge AI vision processing
- No-code model deployment via SenseCraft AI
- Real-time object and human detection
- Multimodal input (audio + vision)
- Battery-friendly low power design
- Plug-and-play with Grove ecosystem
| 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 |
What AI models are supported by the Grove Vision AI Module V2?
Supports MobileNet V1/V2, EfficientNet-Lite, YOLO v5 & v8. Compatible with TensorFlow and PyTorch frameworks via SenseCraft AI.
Is the module compatible with Raspberry Pi and Arduino?
Yes, it works with Arduino IDE, Raspberry Pi, ESP32, and Seeed XIAO boards using standard Grove connectors.
What is the power consumption of the Vision AI Module V2?
Operates at only 0.35 watts, ideal for battery-powered and portable AI applications.
Can I run facial keypoint detection and pose estimation?
Yes, it supports advanced tasks like facial keypoint detection and human pose estimation using on-device AI models.
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About Grove - Vision AI Module V2 by Seeed Studio
Grove - Vision AI Module V2 The Grove Vision AI Module V2 is the perfect solution for AI enthusiasts and professionals. It is compact, versatile, feature-rich, highly compatible, user-friendly, power-efficient, and fully open source. Powered by the Himax WiseEye2 HX6538 …
Categorised under: Age 12+› Electronic Modules› Development Boards› AI Hardware› Compatible with Arduino› Boards Compatible with Arduino