Note: This Kit inclued a Study Pack, a HUSKYLENS and a micro:bit V2 board.
The Study Pack of HuskyLens for micro:bit is a great partner for the AI Vision Smart Sensor - HuskyLens. Based on micro:bit programming, it aims to extend the capabilities of HuskyLens and help students learn knowledge related to AI image recognition in an enjoyable and engaging way.
| 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 |
The extension kit is designed for users to better understand the eight functions of HuskyLens. The kit contains “Face cards”for face recognition project, “Color cards” for color recognition learning, and “Barcode cards” for studying lessons like self-service checkout. Besides, it also comes with cards of other types like animals, plants, QR codes, objects, gestures, etc.
Besides the cards we mentioned above, the kit also includes 7 external modules. For instance, the servo can be used in face unlocking project, RGB LED strip for color recognition, and voice recorder module for sound-related project.
Tutorial
The tutorial consists of 12 chapters with about 2 projects included in one chapter, in which students will explore how the AI Image Recognition technology is applied in everyday life by projects like face unlocking, AI camera, pet feeding, self-service checkout, target tracking, etc.
Catalogue
Project 1 Distinguish human faces
Project 2 Add music
Project 1 Multiple face discrimination
Project 2 Smart access control
Project 1 Distinguish multiple colors
Project 2 Define notes
Project 1 Distinguish between cats and dogs
Project 2 Add the function of sending grain
Project 1 Object tracking and coordinate value function
Project 2 Vibration feedback prompt
Project 1 Commodity price display
Project 2 Commodity settlement
Project 1 Generate energy value
Project 2 Energy Synthesis
Project 1 Pay by card
Project 2 Voice prompt "Payment successful"
Project 1 Shows whether or not a helmet is worn
Project 2 Safety helmet reminder device
Project 1 Character encryption
Project 2 Decrypt
Project 1 Touch-controlled camera
Project 2 Voice-activated camera
Project 3 Time-lapse photography
Project 1 Taking pictures of vehicles
Project 2 Alarm reminder
Course Structure
The course structure clearly describes how a lesson is implemented, which can help to build up projects conveniently.
Tutorial Cases
Face Recognition Access Control
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
Documents:
Product Includes:
Study Pack
- 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
HUSKYLENS
- HuskyLens Mainboard x1
- M3 Screws x6
- M3 Nuts x6
- Small Mounting Bracket x1
- Heightening Bracket x1
- Gravity 4-Pin Sensor Cable x1
micro:bit
- micro: bit V2 x1
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