HUSKYLENS 2: DFRobot’s New AI Machine Vision Sensor Unveiled 0 By androidpimp on November 5, 2025 Edge AI Cameras Vision Hardware Table of contents HUSKYLENS 2: An advanced AI-powered machine vision camera perfect for AI and robotics applications. Part I: Introducing the Product A full up-close view of the product Key Features Model Context Protocol (MCP) support and large language models (LLMs) 🧠 MCP (Model Context Protocol) 🤖 Leveraging the LLM 🚀 Why It Matters 🧠 What is LLM all about? 📚 How It Works Specifications With over 20 built-in algorithms ready to use Applications in education and AI project development. Broad compatibility with popular controllers and SBCs Wide Controller Support What’s included in the package? Additional accessories Part II: HUSKYLENS 2 Review (Currently being updated) The Product Package Unboxing all Items Package Contents The Main Module/Unit The camera module Interfaces HUSKYLENS 2 Power Board The advantages of the Power Board So, when would you need to use it? Operation Standalone mode Self-Learning Capabilities (A partial list) YOLO-Style Workflow How It Works on HuskyLens 2 Connecting with external hardware Interfacing with the Orange Pi RV2 Orange Pi RV2 to HuskyLens 2 Wiring (I2C Mode) Orange Pi RV2 to HuskyLens 2 Wiring (UART Mode) Connecting the Orange Pi RV2 to the HuskyLens 2 in I2C mode. Software Setup 1. Enabling the I2C3 interface 2. Installing I2C Tools 3. Installing the HuskYLENS Python library 4. Checking for available I2C devices connected to the HUSKYLENS 2 5. Final result? The great features of HUSKYLENS 2 Real-world user cases Price and availability Part II: HUSKYLENS 2 Review (Currently being updated) The Product Package HUSKYLENS 2 PKG 1 HUSKYLENS 2 PKG 5 HUSKYLENS 2 PKG 2 HUSKYLENS 2 PKG 3 HUSKYLENS 2 PKG 4 HUSKYLENS 2 PKG 6 1 2 3 4 5 6 AI Machine Vision Sensor HUSKYLENS 2