Grove - Vision AI Module V2 - Arm Cortex-M55 & Ethos-U55, TensorFlow and PyTorch Supported, Arduino, Raspberry Pi, Seeed Studio XIAO, ESP-Based dev Board Compatible

Descripción

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. 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.