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Description: Grove - Vision AI Module V2 is an intelligent edge vision solution designed for various IoT applications. Here's a detailed bullet-point description of its features, uses, and unique benefits: 1. Edge AI Processing: The module incorporates an onboard neural processing unit (NPU) to perform real-time image recognition locally without requiring cloud connectivity. 2. Object Detection & Classification: Supports multiple object detection models like YOLOv3, Mobilenet_SSD, and Tiny_YOLO, offering high accuracy in recognizing common objects and custom classes. 3. User-Friendly Interface: Comes with the Arduino IDE library, allowing users to easily program and control the Vision AI Module through simple API calls. 4. Versatile Inputs: Accepts various input sources like Grove RGB camera, MIPI CSI camera, or JPEG image files for real-time vision applications. 5. Smart Alerts & Events: Provides customizable threshold settings and event triggers to initiate actions based on detected objects, en
| Specification | Details |
|---|---|
| Module Type | AI Computer Vision Module |
| Processor | Movidius Myriad 2 VPU |
| Operating System | MicroSD Card (supports Linux) |
| Sensor Interface | OV4689 Camera Sensor |
| Resolution | Up to 1280 x 720 pixels @ 30fps |
| Field of View | 63.3° x 47.8° |
| Power Consumption | 1-2 Watts (depending on load) |
| Memory | 1GB DDR4 RAM 16 GB eMMC Flash |
| Communication | MicroUSB for data and power |
| Dimensions | 35.5mm x 28mm x 14.8mm |
| Weight | 30g |
| Operating Temp | -20°C to +70°C |
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