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DFRobot HUSKYLENS 2 AI Vision Sensor (6 TOPS) for Robotics, Object Detection & Custom AI Models — image 1
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DFRobot

DFRobot HUSKYLENS 2 AI Vision Sensor (6 TOPS) for Robotics, Object Detection & Custom AI Models

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AI Summary
DF Robot Modules for premium buyers

The DFRobot HUSKYLENS 2 AI Vision Sensor (6 TOPS) for Robotics, Object Detection & Custom AI Models by DFRobot is a premium df robot modules designed for premium buyers. It features Operating Voltage (VDC): 3.3 to 5 and Computing Power: 6 TOPS.

₹12,662
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Total: ₹12,662
Buying tip: A top-tier option — the best features and quality available in this category.
Estimated delivery: 17 Aug31 Aug
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Quick Specs

Operating Voltage (VDC): 3.3 to 5
Computing Power: 6 TOPS
Storage Capacity: 8GB eMMC
Power Consumption: 1.5 – 3 W
Camera Details: GC2093, 2 MP, 1/2.9", 60 FPS
Display: 2.4″ IPS Touchscreen (640 × 480)

Ideal For

Electronics projectsArduino / Raspberry Pi buildsPrototyping
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SKU: robu-3107930Category: DF Robot Modules

About This Product

The DFRobot HUSKYLENS 2 AI Vision Sensor (6 TOPS) for Robotics, Object Detection & Custom AI Models by DFRobot is a premium df robot modules designed for premium buyers. It delivers reliable performance at an accessible price.

Key Specifications

  • Operating Voltage (VDC): 3.3 to 5 — works with standard household power
  • Computing Power: 6 TOPS
  • Storage Capacity: 8GB eMMC — plenty of room for files, apps, and media
  • Power Consumption: 1.5 – 3 W
  • Camera Details: GC2093, 2 MP, 1/2.9", 60 FPS — captures sharp, detailed images
  • Display: 2.4″ IPS Touchscreen (640 × 480) — crisp, vibrant visuals in any lighting
  • Connectivity: USB-C, UART, I²C, Wi-Fi 6 (optional) — fast, stable wireless internet
  • Operating Temperature (°C): -10 °C to +55 °C

Why Buy from Pricio?

Pricio sources this product directly, cutting out multiple middlemen. Every order includes free shipping, a 15-day return policy, and secure payment via Razorpay.

The HUSKYLENS 2 is a powerful next-generation AI vision sensor designed for innovators, educators, and developers. Powered by a 1.6GHz dual-core processor with 6 TOPS of AI acceleration, it delivers real-time, on-device performance without cloud dependency. With over 20 built-in AI models and full support for custom YOLO-trained models, it enables face recognition, object tracking, gesture control, and more. Featuring a vivid 2.4” IPS touchscreen, replaceable 2MP camera, and onboard microphone and speaker, HUSKYLENS 2 combines intelligent vision and interactive capabilities. Compatible with Arduino, Raspberry Pi, ESP32, and UNIHIKER, it’s ideal for educational robotics, AI prototyping, and smart systems development.

Note: The Huskylense 2 does not have Wi-Fi module installed by default.

Blazing-Fast On-Device AI with 6 TOPS of Power

Start Creating Instantly with Over 20 Built-in AI Models

Empowering LLMs with Contextual Awareness via MCP Service

 


Applications:
  1. Educational robotics
  2. Interactive systems
  3. Intelligent device prototyping

Features:

  1. 6 TOPS AI computing power for ultra-fast processing
  2. 20+ pre-trained AI models ready to use
  3. Supports custom YOLO-trained models
  4. Built-in MCP service for LLM interaction
  5. Replaceable 2MP camera module
  6. 2.4-inch IPS touchscreen with intuitive control
  7. Real-time video streaming via USB-C or Wi-Fi
  8. Compatible with major controllers (Arduino, Raspberry Pi, ESP32, etc.)

Package Includes:

1 x DFRobot HUSKYLENS 2 AI Vision Sensor (6 TOPS) for Robotics, Object Detection & Custom AI Models

6 x M3 Screws

6 x M3 Nuts

1 x Mounting Bracket

1 x Heightening Bracket

1 x Gravity-4P Sensor Connector Cable (30cm)

1 x Dual-Plug PH2.0-4P Silicone Cable (20cm)

1 x Power Adapter Board

Setup Guide

1
Identify the pins
Locate VCC (power), GND (ground), and data pins (SDA/SCL for I2C, MOSI/MISO for SPI, or TX/RX for UART). Refer to the pinout diagram on the product page.
2
Wire to your microcontroller
Connect VCC to 3.3V or 5V (check the module spec), GND to GND, and data pins to the appropriate GPIO pins on your Arduino or Raspberry Pi.
3
Install libraries
In Arduino IDE, go to Sketch → Include Library → Manage Libraries and search for the sensor library. Install the recommended version.
4
Upload example sketch
Open File → Examples → [library name] → Basic Example. Upload to your board and open Serial Monitor to view output.
5
Calibrate if needed
Some sensors (temperature, humidity, distance) may need a short warm-up period or calibration. Run the calibration sketch if provided.