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.
PRODUCT DETAILS
Note
Kindly take note that if you'd like to purchase Grove Vision AI Module V2 separately, please head to this page.
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, 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 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)
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
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 |
5 Megapixels |
5 Megapixels |
|
FOV |
62 |
67 |
160 |
|
Video modes |
1080p@30fps 720p@60fps |
1080p@30fps 720p@60fps |
1080p@30fps 720p@60fps |
|
Sensor |
OV5647 |
OV5647 |
OV 5647 |
|
Sensor Resolution |
2592 × 1944 pixels |
2592 × 1944 pixels |
2592 x 1944 pixels |
|
Pixel Size |
1.4 µm x 1.4 µm |
1.4 µm x 1.4 µm |
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) |
3.3 V (Pin 15) |
3.3 V (Pin 15) |
|
Hardware Support |
Raspberry Pi 3B / 3B+ / 4 |
Raspberry Pi 3B / 3B+ / 4 |
Raspberry Pi 3B / 3B+ / 4 |
|
Operating Temp |
-20°C to 70°C |
-20°C to 70°C |
-20°C to 70°C |
|
CMOS Size |
1/4 inch |
1/4 inch |
1/4 inch |
|
Size |
25 x 23 x 9mm |
38 x 38 x 18.4mm (excluding lens) |
25mm × 24mm ×18±0.5mm |
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 |
|
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.
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REVIEWS
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from order viewnice board good price
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from order viewArrived on time. Not tested yet.