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Gravity: HUSKYLENS with Devastator Tank Mobile Robot Platform and Romeo V2
DFRobot

Gravity: HUSKYLENS with Devastator Tank Mobile Robot Platform and Romeo V2

SKU: SHN0104589
R 4 599,00Ex Tax: R 3 999,13
Ships in 7–10 working days
Qty
1
  • Delivery nationwide via The Courier Guy — R150 flat, free over R2,000
  • Free collection from our Milnerton (Cape Town) warehouse
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  • Questions? WhatsApp us on +27 65 900 8570

Description

This complete robotics kit combines the AI-powered HuskyLens vision sensor, the rugged Devastator Tank mobile platform, and the Romeo V2 Arduino Leonardo controller with built-in motor drivers. It is an ideal development platform for students, makers, and educators building autonomous, vision-guided tracked robots without coding complex machine learning algorithms from scratch.

Six built-in vision algorithms

HuskyLens comes pre-programmed with face recognition, object tracking, object recognition, line tracking, colour recognition, and tag detection. Users can switch between vision modes instantly using onboard hardware controls.

Six built-in vision algorithms

Multi-platform controller communication

The sensor communicates over UART or I2C to interface seamlessly with controllers such as Arduino, micro:bit, Raspberry Pi, and LattePanda. The included Romeo V2 board easily receives sensor telemetry to control the tank platform's dual motors.

Multi-platform controller communication

Onboard display and calibration

A built-in 2.0-inch IPS screen with a 320x240 resolution provides real-time visual feedback and simplifies parameter tuning without requiring a computer. Dedicated hardware buttons allow you to trigger new object training cycles directly on the device.

Onboard display and calibration

Continuous multi-angle learning

HuskyLens uses integrated machine learning algorithms to record and remember target objects. By holding the learning button, the sensor continuously captures training data across various angles and distances to improve recognition accuracy.

Continuous multi-angle learning

Kendryte K210 neural processor

Powered by the specialised Kendryte K210 AI chip, HuskyLens runs neural network algorithms 1,000 times faster than an STM32H743 MCU. Paired with a 2.0-megapixel OV2640 camera, it quickly detects and tracks fast-moving objects in dynamic environments.

Kendryte K210 neural processor

Interactive gesture tracking

The sensor's object-tracking capabilities can learn specific hand movements and output their real-time positional data. This enables the Devastator platform to respond directly to interactive hand gesture commands and spatial triggers.

Interactive gesture tracking

Push-button line tracking

Line following requires no manual algorithm configuration or tedious parameter adjustments. Pressing the learning button trains HuskyLens on the target line, allowing the Devastator tank to track paths autonomously.

Push-button line tracking

Video

Downloads & documentation

Specifications

ProcessorKendryte K210
Image SensorOV2640 (2.0Megapixel Camera)
Supply Voltage3.3~5.0V
Current Consumption (TYP)[email protected] , [email protected] (face recognition mode; 80% backlight brightness; fill light off)
Connection InterfaceUART, I2C
Display2.0-inch IPS screen with 320*240 resolution
Built-in AlgorithmsFace Recognition, Object Tracking, Object Recognition, Line Tracking, Color Recognition, Tag Recognition
Dimension52mm * 44.5mm / 2.05 x 1.75inch

In the box

HuskyLens Mainboard1
Devastator Tank Mobile Robot Platform1
Romeo V2- an Arduino Robot Board (Arduino Leonardo) with Motor Driver1
M3 Screws6
M3 Nuts6
Small Mounting Bracket1
Heightening Bracket1
Gravity 4-Pin Sensor Cable1

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