The Study Pack of HUSKYLENS for micro:bit is an HuskyLens extension kit based on micro:bit programming. It is suitable for students aged 8-19. Centered around AI image recognition, the kit is equipped with 7 external modules and 28 cards that are applicable to teaching scenarios.
| Feature | HUSKYLENS (SEN0305) | HUSKYLENS 2 (SEN0638) |
|---|---|---|
| Positioning | Easy-to-use AI vision sensor for beginner–intermediate projects | Next-gen 6 TOPS AI vision sensor with LLM/MCP support and custom model deployment |
| Processor & AI performance | Kendryte K210 dual-core RISC-V MCU, no dedicated TOPS rating | Kendryte K230 dual-core RISC-V @ 1.6 GHz with 6 TOPS on-device AI accelerator |
| Built-in AI modes | 7 modes: Face Recognition, Object Tracking, Object Recognition, Line Tracking, Color Recognition, Tag (QR) Recognition, Object Classification | 20+ models including: face detection/recognition, object detection & classification, instance segmentation, pose & keypoint detection, gesture & hand recognition, license plate & text recognition, QR/barcode/tag, line tracking, fall detection, expression & gaze detection |
| Custom model support | Onboard “learning” of examples via button (no external custom model deployment) | Supports deploying custom-trained models (YOLO-style workflow) plus onboard self-learning classification; model hub for official & community models |
| Display & UI | 2.0" IPS screen, 320 × 240 resolution, button-based UI | 2.4" full-lamination IPS capacitive touchscreen, 640 × 480 resolution, touch + single function button |
| Camera module | Fixed OV2640 2 MP sensor | GC2093 2 MP sensor, 1/2.9", up to 60 FPS; replaceable modular camera (supports alternate lenses such as microscope or night-vision modules) |
| Audio I/O | None | Built-in MEMS microphone and 1 W speaker for audio feedback and AI applications |
| Memory & storage | On-chip memory only; microSD slot primarily for images & config | 1 GB LPDDR4 RAM, 8 GB eMMC onboard storage, TF (microSD) card slot for expansion |
| Connectivity to controllers | UART & I2C via Gravity 4-pin; USB (Micro-USB) for power & firmware | UART & I2C via Gravity 4-pin; USB-C for power, data & firmware; designed to work with Arduino, micro:bit, Raspberry Pi, ESP32, UNIHIKER etc. |
| Wireless options | None (no built-in wireless) | Optional Wi-Fi 6 module (TEL0191) adds wireless video streaming, MQTT, OTA, remote model download, and MCP/LLM over network |
| LLM / MCP integration | Not supported | Built-in MCP server mode: can act as a vision “tool” for Large Language Models (LLMs), sending structured scene understanding instead of raw images |
| Power supply | 3.3 – 5.0 V, ~310 mA @ 3.3 V (~220 mA @ 5 V) | 3.3 – 5.0 V, powered over USB-C or recommended HUSKYLENS 2 power board when used with controllers |
| Physical size | Approx. 52 × 44.5 mm PCB | Approx. 70 × 58 × 19 mm (without packaging) |
| Typical classroom level | Upper primary to early high-school; perfect for first AI-vision projects, line-following robots, face-unlock demos | High-school to university & competition teams; ideal for advanced AI/robotics, custom datasets, LLM-connected projects |
| Learning curve | Very low – simple button interface and 7 fixed modes | Still beginner-friendly, but with deeper features (touch UI, model deployment, Wi-Fi, LLM/MCP) for advanced users |
Focusing on computer science, the tutorial provided for this kit aims to help students learn knowledge related to AI image recognition in an enjoyable and engaging way. In the tutorial, they will explore how the image recognition technology is applied to real-life through projects like face unlocking, AI camera, pet feeding, self-service charging, scanning code payment, target tracking, etc. And each project comes with corresponding teaching cards to help them get started easily.
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Catalogue
- Music Magic Mirror
Project 1 Distinguish human faces
Project 2 Add music
- Face Recognition Access Control
Project 1 Multiple face discrimination
Project 2 Smart access control
- Colorful Piano
Project 1 Distinguish multiple colors
Project 2 Define notes
- Vending Machine for Cats And Dogs
Project 1 Distinguish between cats and dogs
Project 2 Add the function of sending grain
- Object Tracker
Project 1 Object tracking and coordinate value function
Project 2 Vibration feedback prompt
- Self-service Cashier
Project 1 Commodity price display
Project 2 Commodity settlement
- Energy Harvest
Project 1 Generate energy value
Project 2 Energy Synthesis
- Smart Bus Ticketing Machine
Project 1 Pay by card
Project 2 Voice prompt "Payment successful"
- Safety Helmet Reminder
Project 1 Shows whether or not a helmet is worn
Project 2 Safety helmet reminder device
- Encryption and Decryption
Project 1 Character encryption
Project 2 Decrypt
- HuskyLens AI Camera
Project 1 Touch-controlled camera
Project 2 Voice-activated camera
Project 3 Time-lapse photography
- Emergency Lane Watchdog
Project 1 Taking pictures of vehicles
Project 2 Alarm reminder
Features:
- A variety of tutorial cases, 25 fun projects in 12 lessons
- 28 teaching cards help you easily learn the AI image recognition function
- Cards: people, colors, objects, barcodes, labels, QR codes, object tracking
You can also buy micro:Maqueen Plus with HUSKYLENS and micro:bit
Documents:
Product wiki
Product Includes:
- IO Extender for micro:bit ×1
- Gravity: Vibration Motor Module For Arduino ×1
- Gravity: Voice Recorder Module ×1
- Stereo Enclosed Speaker-3W 8Ω ×1
- 9g 180° Micro Servo (1.6kg) ×1
- Bistable LED Switch - Blue ×1
- RGB Full Color LED Strip ×1
- Micro USB Cable ×2
- Gravity: Digital Sensor Cable for Arduino ×4
- Gravity: 4Pin I2C/UART Sensor Cable ×1
- Face Card ×5
- Color Card ×7
- Object Card ×4
- Barcode Card ×3
- QR Code Card ×3
- Object Tracking Card ×3
- Label Card ×3
- Plastic Round Snap Ring ×1
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