HuskyLens AI camera from DFRobot

Gravity: HuskyLens K210 AI camera - AI vision for education & training

The HuskyLens is a plug & play AI camera (vision sensor) especially for teaching and vocational training: learners can "train" their own recognitions in just a few seconds without complicated modelling or setup - simply align the camera, press the learning button and see the result directly on the screen. This makes topics such as artificial intelligence, sensor technology, robotics and automation immediately tangible.

The camera is ideal for schools (secondary schools I/II) and training (e.g. mechatronics/IT/electronics) as it can be easily combined with other projects, such as Arduino or Raspberry Pi.

Core elements

- Immediate feedback on the integrated 2.0" IPS color display: learners see directly what is detected and can debug projects quickly - even without a PC in place.

- Edge AI on the device thanks to Kendryte K210: computing work happens locally, in real time - without a permanent internet connection.

- Easy to integrate into existing learning platforms: compatible with micro:bit, Arduino, Raspberry Pi (connection via UART/I²C).

- Typical teaching & training projects (practical, motivating)

The HuskyLens brings "eyes" into your prototypes - ideal for project work, makerspaces and exam preparation:

Face recognition: e.g. "Smart Locker"/access control (discuss data topics: training, error rates, bias)

Object tracking & object recognition: robot follows a person / sorts components or workpieces

Line tracking: AGV/vehicle demo for logistics & automation

Color recognition: sorting system, quality control in the mini "production line"

Tag/QR code recognition: station operation, interactive learning posters, inventory systems

Technical highlights (for material list & lesson preparation)

Processor: Kendryte K210

Camera: OV2640, 2.0 MP

Display: 2.0" IPS, 320×240

Interfaces: UART, I²C

Power supply: 3.3-5.0 V

Algorithms (integrated): Face Recognition, Object Tracking/Recognition, Line Tracking, Color Recognition, Tag Recognition

Learning ecosystem & teaching material

According to the manufacturer, there are numerous free step-by-step tutorials (40+) and courses, including MakeCode/Mind+ (block-based) and robotics paths (English) to get you started quickly

The HuskyLens is a robust, easy-to-use AI camera for STEM teaching and training that translates artificial intelligence from the theory block directly into working robotics and automation projects.

Technical data (overview)

• Processor / Edge-AI: Kendryte K210

• Image sensor: OV2640 (2.0 MP) (sometimes also mentioned in the wiki as OV2640/GC0328 depending on the version)

• Display: 2.0" IPS color display, 320 × 240 px

• Supply voltage: 3.3-5.0 V

• Power consumption (typical): 320 mA @ 3.3 V / 230 mA @ 5 V

• Interfaces: UART, I²C (Gravity 4-pin)

• USB: for power supply and firmware updates

• Dimensions: 52 × 44.5 mm (board)

• Scope of delivery (short): Camera, mounting bracket/raiser, screws/nuts, Gravity 4-pin cable

Scope of delivery

HuskyLens AI Camera

Mounting bracket (small) + elevation bracket

Screws/nuts (M3)

Gravity 4-pin sensor cable

Instructions and tutorials:

Official DFRobot documentation (EN) - Reference/Manual

DFRobot Wiki: HuskyLens V1.0 (main doc) - Modes, UART/I²C, examples.
https://wiki.dfrobot.com/HUSKYLENS_V1.0_SKU_SEN0305_SEN0336

HuskyLens WIKI Document (PDF) - Manual as PDF (offline/printable).
https://raw.githubusercontent.com/DFRobot/Wiki/master/SEN0305/res/HuskyLens%20WIKI%20Document.pdf

Calliope mini (DE) - Teaching material & learning tracks

Calliope: AI page (HuskyLens in the classroom) - overview & introduction.
https://calliope.cc/schulen/ki

Face recognition - step-by-step teaching unit.
https://calliope.cc/schulen/unterrichtsmaterial/7-1-gesichtserkennung

Color recognition - step-by-step teaching unit.
https://calliope.cc/schulen/unterrichtsmaterial/7-2-farberkennung

Object recognition - step-by-step teaching unit.
https://calliope.cc/schulen/unterrichtsmaterial/7-3-objekterkennung

Worksheet (PDF) Color recognition - easy to print as a handout/station.
https://calliope.cc/download.php?file=schule%2F7_2%2FPAP-HuskyLens-Farberkennung.pdf

inf-schule: HuskyLens first steps - connection, hints, lesson setup.
https://inf-schule.de/nkso

inf-schule: Learning path face recognition - tasks + MakeCode building blocks.
https://inf-schule.de/informatiksysteme/calliope/projekte/KI_Kamera/lernstrecke/Gesichtserkennung

micro:bit (EN) - MakeCode, Extensions & Projects

MakeCode Package: HuskyLens Extension - can be imported directly into MakeCode.
https://makecode.microbit.org/pkg/dfrobot/pxt-dfrobot_huskylens

GitHub: pxt-DFRobot_HuskyLens (extension repo) - source code/issues/updates.
https://github.com/DFRobot/pxt-DFRobot_HuskyLens

DFRobot Tutorial: HuskyLens 2 + micro:bit (MakeCode) - import, setup, examples.
https://wiki.dfrobot.com/Tutorial%20for%20HUSKYLENS%202%20and%20micro%3Abit%20Graphical%20Programming%28MakeCode%29

Instructables: micro:bit Visual Object Tracking with HuskyLens - project based (Tracking).
https://www.instructables.com/Microbit-Visual-Object-Tracking-With-Huskylens/

DFRobot Learn: Object Tracker (micro:bit + HuskyLens Study Pack) - tutorial article (project idea).
https://learn.dfrobot.com/makelog-308707.html

Arduino (EN/DE) - Libraries & step-by-step tutorials

GitHub: HUSKYLENSArduino (Arduino API / Library) - Core library + examples.
https://github.com/HuskyLens/HUSKYLENSArduino

DFRobot Tutorial: HuskyLens 2 + Arduino IDE (Code Programming) - Library setup + sample code.
https://wiki.dfrobot.com/Tutorial%20for%20HUSKYLENS%202%20and%20Arduino%20Code%20Programming%20%28Arduino%20IDE%29

DFRobot Tutorial: HuskyLens 2 + Arduino (Mind+) - graphical programming (upload mode).
https://wiki.dfrobot.com/Tutorial%20for%20HuskyLens%202%20And%20Arduino%20Graphical%20Programming%20%20%28Mindplus%29

MakerGuides: Getting Started with HuskyLens 2 + Arduino/ESP32 - hands-on (wiring/query).
https://www.makerguides.com/getting-started-with-huskylens-2-and-arduino-esp32/

DroneBot Workshop: HuskyLens - good explanation + Arduino project ideas.
https://dronebotworkshop.com/huskylens/

Raspberry Pi (EN) - Python & I²C tutorials

GitHub: HUSKYLENSPython - Python library for HuskyLens.
https://github.com/HuskyLens/HUSKYLENSPython

Raspberry Pi tutorial (in repo) - I²C setup & step-by-step.
https://github.com/HuskyLens/HUSKYLENSPython/blob/master/Raspberry%20Pi%20Tutorial.md

SparkFun: qwiic_huskylens_py - Python/MicroPython/CircuitPython implementation.
https://github.com/sparkfun/qwiic_huskylens_py

Mind+ (EN) - Block programming (for lessons/AG)

Mind+ Download (official) - Installation files for Windows/macOS/Linux.
https://mindplus.cc/en/download.html

Mind+ (DFRobot) - tutorial/start page - official documentation & learning paths.
https://mindplus.dfrobot.com/