Grove - Vision AI Module V2

Αξιολόγηση: Δεν αξιολογήθηκε ακόμη
ΚατασκευαστήςGROVE
Διαθεσιμότητα : Σε stock 8 Προϊόν(ντα) Άμεσα Διαθέσιμο
Κωδικός προϊόντος :SS-0101
23,89 €
Χωρίς ΦΠΑ : 19,27 €

Περιγραφή

Grove - Vision AI Module V2

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.

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.

 

 

 

 

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, a gaming like smooth experience, 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.

 

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:
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.

Part List

Grove Vision AI V2 x1
Cable x1
 
 
 

ECCN/HTS

HSCODE 9031900090
USHSCODE 8517180050
UPC  
EUHSCODE 9013101000
COO CHINA

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

 

 

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