Gravity: HUSKYLENS - Easy-to-Use AI Vision Sensor

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Gravity: HUSKYLENS - Easy-to-Use AI Vision Sensor Grades: 9+ Number of Students: 1-3 Number of Lessons: 5 Projects Contact Hours: 5+ Additional Resources: Huskylens AI Camera | Vis ion 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 Highlights: Huskylens is an easy-to-use AI Camera | Vision Sensor. DFrobot Huskylens is equipped with multiple functions, such as face recognition, object tracking, object recognition, line tracking, color recognition, and tag(QR code) recognition. Through the UART / I2C port, HuskyLens can connect popular main control boards like Arduino, micro: bit, Raspberry Pi and LattePanda to help you make very creative projects without playing with complex algorithms. You can change various algorithms by pressing the function button. Click the learning button, Husky lens starts learning new things. After that, HuskyLens is able to 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 AI Camera is designed to be smart. It has the 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. DFRobot Huskylens adopts the new generation of specialized AI chip Kendryte K210. The performance of this special AI chip is 1,000 times faster than that of the STM32H743 when running a neural network algorithm. With these excellent performances, it is capable of capturing even fast-moving objects. With the HuskyLens, your projects have new ways to interact with you or the environment, such as interactive gesture control, autonomous robot, smart access control, and interactive toy. There are so many new applications for you to explore. Huskylens' object-tracking skills can be used to learn specific gestures. It is able to recognize those learned hand movement patterns and feed their positions. With these data, creating awesome interactive projects are never so easy. Huskylens vision sensor can detect and follow lines. Line follower is not something new, there are plenty of excellent methods and algorithms in this scenario. However, most of them require tedious parameters tuning. This time, HuskyLens provides a new way to do line following: simply click the button, then it starts learning and tracking new lines. Let's enjoy the fun of making with HuskyLens! Husky lens machines can be the eyes of robots. which allows your robot to recognize you, understand your hand gesture commands, or help you put stuff in order, and so on. With Huskylens, nothing is impossible! Curriculum or Lesson Topics: Project 1. AI Projects made simple by Huskylens Project 2. DIY Line Tracking Robot with Huskylens and Romeo Project 3. Easy Machine Learning on Arduino/Raspberry Pi with HuskyLens! Project 4. DIY Amazing Object Tracking Robot using Huskylens Project 5. Can a Raspberry Pi Pico Run an AI Project? What's Included: HuskyLens Mainboard x1 M3 Screws x6 M3 Nuts x6 Small Mounting Bracket x1 Heightening Bracket x1 Gravity 4-Pin Sensor Cable x1 Additional Information and Resources: 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 Technology Requirements/Specifications: Processor: Kendryte K210 Image Sensor: OV2640 (2.0Megapixel Camera) Supply Voltage: 3.3~5.0V Current Consumption (TYP): [email protected], [email protected] (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 Show more