DFRobot Gravity Huskylens AI Camera – Vision Sensor with IPS Display

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  • Regular price 295 QAR
Product ID: VT-1394
28 in stock


The DFRobot Gravity Huskylens is an AI vision sensor designed for machine vision applications in robotics and embedded systems. It integrates the Kendryte K210 processor with a 2 MP OV2640 camera and supports multiple built-in algorithms including face recognition, object tracking, object recognition, line tracking, color detection, and QR code recognition. The module features a 2.0-inch IPS display for real-time visual feedback and parameter configuration without requiring a computer. With UART and I2C interfaces, it easily connects to platforms such as Arduino, micro:bit, Raspberry Pi, and LattePanda. It is suitable for robotics, interactive systems, smart access control, and educational AI projects.

  • Kendryte K210 AI processor for embedded machine vision
  • OV2640 2 MP camera image sensor
  • Built-in algorithms for face and object recognition
  • Object tracking capability for robotics applications
  • Line tracking function for autonomous robots
  • Color recognition for interactive projects
  • QR code and tag recognition support
  • 2.0-inch IPS display with 320 × 240 resolution
  • UART and I2C communication interfaces
  • Gravity interface for easy wiring
  • One-button learning function for training objects
  • Continuous learning from multiple angles
  • Compatible with Arduino, Raspberry Pi, and micro:bit
  • Compact module for embedded AI projects
  • Processor: Kendryte K210
  • Image Sensor: OV2640 2MP Camera
  • Supply Voltage: 3.3–5V DC
  • Typical Current Consumption: 320mA @ 3.3V
  • Typical Current Consumption: 230mA @ 5V
  • Display Size: 2.0 Inch IPS
  • Display Resolution: 320 × 240 Pixels
  • Communication Interface: UART, I2C
  • Built-in Algorithms: Face Recognition, Object Tracking, Object Recognition, Line
  • Tracking, Color Recognition, Tag Recognition
  • Camera Resolution: 2 Megapixels
  • Module Dimensions: 52mm × 44.5mm
  • Supported Platforms: Arduino, Raspberry Pi, micro:bit, LattePanda
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