特長
● 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, ESP 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:
(Image Credits: Mengdu)
These results clearly demonstrate that the Grove Vision AI V2 is a premium choice for high-performance vision processing.
What's on the board?
仕様
Specification of different OV5647 Camera Modules
Parameters | OV5647- 62 FOV Camera module | OV5647-67 FOV IR Camera module | OV5647-160 FOV IR Camera module |
Still resolution | 5 Megapixels | ||
FOV | 62 | 67 | 160 |
Video modes | 1080p@30fps 720p@60fps | ||
Sensor | OV5647 | ||
Sensor Resolution | 2592 × 1944 pixels | ||
Pixel Size | 1.4 µm x 1.4 µm | ||
Focal Length | 3.4 mm (adjustable) | 3.6 mm (adjustable) | 3.15 mm (adjustable) |
Focal Ratio (F-Stop) | 2.8 | 2.0 | 2.35 |
Power Supply | 3.3 V (Pin 15) | ||
Hardware Support | Raspberry Pi 3B / 3B+ / 4 | ||
Operating Temp | -20°C to 70°C | ||
CMOS Size | 1/4 inch | ||
Size | 25 x 23 x 9mm | 38 x 38 x 18.4mm (excluding lens) | 25mm × 24mm ×18±0.5mm |
Specification of Grove - Vision AI Module V2
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 |
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 |
ハードウェア概要
用途
- 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.
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.
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ドキュメント
部品リスト
Grove Vision AI V2 | x1 |
Raspberry Pi OV5647 Camera Module | x1 |
Seeed Studio XIAO | x1 |
Grove Vision AI v2 Kit - with optional Raspberry Pi OV5647 Camera Module, Seeed Studio XIAO; Arm Cortex-M55 & Ethos-U55, TensorFlow and PyTorch supported
It is an MCU-based vision AI module powered by Himax WiseEye2, featuring Arm Cortex-M55 & Ethos-U55. TensorFlow and PyTorch frameworks are supported. Compatible with Arduino IDE and no code model deployment and immediate visualization of inference results with SenseCraft AI.
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