HUSKYLENS
Features
- Multiple AI Vision Functions
- Face recognition
- Object tracking & recognition
- Line tracking
- Color recognition
- Tag/QR code recognition
- Easy Integration with Popular Boards
- Connects via UART or I2C
- Compatible with Arduino, micro:bit, Raspberry Pi, and LattePanda
- Simple Operation & Learning
- Switch algorithms using a single function button
- One-click learning button for adding new faces, objects, or lines
- Long-press learning allows continuous learning from various angles and distances
- Built-in 2.0 inch IPS Screen
- Real-time visual feedback without needing a PC
- Simplified parameter tuning (“what you see is what you get”)
- High Performance AI Chip
- Powered by Kendryte K210 specialized AI chip
- 1,000 times faster than STM32H743 in neural network tasks
- Able to capture fast-moving objects
- Versatile Use Cases
- Interactive gesture control, autonomous robotics, smart access control, interactive toys, line-following vehicles, and more
- Continuous Learning & Improved Accuracy
- The more HuskyLens learns, the more accurate it becomes
- Supports learning from different perspectives and environments
- Effortless Line Tracking
- Click to start learning and tracking lines
- Eliminates complex parameter adjustments common in traditional line-followers
- Empowers Creative Projects
- Serves as the “eyes” of a robot, recognizing people, gestures, and objects
- Ideal for diverse interactive and AI-driven applications
HuskyLens AI Vision Sensor Useful Functions
Specifications
- Processor: Kendryte K210
- Image Sensor: OV2640 (2.0Megapixel Camera)
- Supply Voltage: 3.3~5.0V
- Current Consumption (TYP): 320mA@3.3V, 230mA@5.0V (face recognition mode; 80% backlight brightness; fill light off)
- Connection Interface: UART, I2C
- Display: 2.0-inch IPS screen with 320*240 resolution
- Built-in Algorithms: Face Recognition, Object Tracking, Object Recognition, Line Tracking,
- Color Recognition, Tag Recognition
- Dimension: 52mm * 44.5mm / 2.05 x 1.75inch
Documents
- Product Wiki
- Tutorials for Devastator Tank, Romeo, and HUSKYLENS
- Collection of HUSKYLENS Projects and Tutorials
- Download Mind+(Scratch3.0 Based Offline Editor) For Free
- Community
- CE RoHS Certifications Files
Shipping List
- HuskyLens Mainboard x1
- M3 Screws x6
- M3 Nuts x6
- Small Mounting Bracket x1
- Heightening Bracket x1
- Gravity 4-Pin Sensor Cable x1
- Silicone Case
STUDY PACK OF HUSKYLENS FOR MICRO:BIT | KIT0179-EN
Note: HUSKYLENS and micro:bit board are not included.
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.
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
Shipping List
- 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 ×1
- Gravity: Digital Sensor Cable for Arduino ×4
- Gravity: Analog Sensor Cable for Arduino ×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