Description:
HuskyLens is pretty easy to use. You can change various algorithms by pressing the function button. Click the learning button, Husky lens starts learning new things. After that, HuskyLens can recognize them.
Additionally, HuskyLens carries a 2.0-inch IPS screen. So you don’t need to use a PC in the parameters tuning. Enjoy the convenience it brings, what you see is what you get!
HuskyLens is designed to be smart. It has built-in machine-learning technology that enables HuskyLens to recognize faces and objects. Moreover, by long-pressing the learning button, HuskyLens can continually learn new things even from different angles and in various ranges. The more it learns, the more accurate it is.
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
Projects:
Project 1. AI Projects made simple by Huskylens
Introduction: This video has shown the demo of every algorithm that is built in this Huskylens, and also shown how you can integrate this product with your favorite Arduino Board.
Project 2. DIY Line Tracking Robot with Huskylens and Romeo
Introduction: This project will demonstrate the line tracking function of Huskylens and will install HuskyLens on a Devastator tank mobile robot, then Huskylens will control the robot to perform line tracking.
Project 3. Easy Machine Learning on Arduino/Raspberry Pi with HuskyLens!
Introduction: This is a tutorial on how to easily use an Arduino and a Huskylens to do complex artificial intelligence such as facial recognition, object detection, line following, object recognition, and more!
Project 4. DIY Amazing Object Tracking Robot using Huskylens
Introduction: This project will show you how you can make an Object Tracking Robot using Arduino.
Project 5. Can a $4 Raspberry Pi Pico Run an AI Project?
Introduction: With the combination of Huskylens and Raspberry Pi Pico for ONLY $50, we can quickly build a digital instrumentation solution! And it can be adapted to digitize all kinds of meters!
Useful Links:
- Huskylens AI Camera | Vision Sensor Product Wiki
- New Function Update: Object Classification
- Tutorials for micro: Macqueen Plus and HUSKYLENS
- Download Mind+(Scratch3.0 Based Offline Editor) For Free
- Community
- CE RoHS Certifications Files
Package Included:
- 1 x Huskylens Mainboard
- 6 x M3 Screws
- 6 x M3 Nuts
- 1 x Small Mounting Bracket
- 1 x Heightening Bracket
- 1 x Gravity 4-Pin Sensor Cable