Grove - Vision AI Module V2

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.