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DFRobot HuskyLens AI Machine Vision Sensor

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HuskyLens is an easy-to-use AI machine vision sensor with a built-in camera and display. It supports face recognition, object tracking, line tracking, and color recognition without needing complex programming. HuskyLens works seamlessly with Arduino, ESP32, and Raspberry Pi, making it ideal for robotics, AI learning, and STEM projects.

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⃁ 299.00

Out of stock

HuskyLens AI Machine Vision Sensor

HuskyLens is an easy-to-use AI machine vision sensor with a built-in camera and onboard artificial intelligence. It allows users to perform complex vision tasks such as face recognition, object tracking, object recognition, line tracking, and color recognition without needing advanced AI or image-processing knowledge.

With a 2.0-inch color display, simple button controls, and plug-and-play communication via I2C or UART, HuskyLens is perfect for Arduino, ESP32, Raspberry Pi, and other microcontroller platforms. It is widely used in robotics, AI learning, STEM education, and DIY projects.

Key Features

  • Built-in AI processor with camera

  • Supports face recognition & object tracking

  • Line tracking and color recognition modes

  • Object classification and tag recognition

  • 2.0-inch color LCD display

  • On-device learning (no PC required)

  • Easy integration via I2C or UART

  • Compatible with Arduino, ESP32, Raspberry Pi

  • Beginner-friendly and ideal for education

Technical Specifications

Specification Details
Sensor Type AI Machine Vision Sensor
Camera Built-in intelligent camera
Display 2.0-inch color LCD
Communication I2C, UART
Operating Voltage 5V
Learning Mode On-device AI learning
Supported Functions Face, Object, Line, Color Recognition
Platform Support Arduino, ESP32, Raspberry Pi
Programming Arduino / Python
Use Case Robotics, AI, STEM Education

 

Package Includes

  • 1 x HuskyLens Mainboard

  • 6 x M3 Screws

  • 6 x M3 Nuts

  • 1 x Small Mounting Bracket

  • 1 x Heightening Bracket

  • 1 x Gravity 4-Pin Sensor Cable

SKU: YX788 Categories: , ,

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