HuskyLens AI Camera

Overview

The HuskyLens by DFRobot is an easy-to-use AI vision sensor with a built-in Kendryte K210 processor and 2-inch IPS screen. It can perform multiple AI functions including face recognition, object tracking, object recognition, line following, color recognition, and tag recognition — all without requiring an external computer or cloud connection.

Key Features

• Built-in K210 AI processor for on-device machine learning inference
• 2-inch IPS display for real-time visual feedback
• 7 built-in functions: face recognition, object tracking, object recognition, line following, color recognition, tag recognition, object classification
• Learn by example — train models by pressing a single button
• I2C and UART interfaces for easy integration with Arduino, micro:bit, Raspberry Pi
• Gravity connector compatible with DFRobot ecosystem

Supported Functions

1. Face Recognition — detect and identify learned faces
2. Object Tracking — track a learned object in real-time
3. Object Recognition — classify objects using built-in models
4. Line Following — detect and follow lines for robot navigation
5. Color Recognition — identify and track specific colors
6. Tag Recognition — read AprilTags for positioning
7. Object Classification — custom object classification with on-device learning

Getting Started

Connect HuskyLens to your microcontroller via I2C or UART using the included Gravity cable. Use the function button to select the desired AI function, then press the learning button while pointing at your target object. The HuskyLens library is available for Arduino, MakeCode, and Mind+ programming environments.