Gravity: HUSKYLENS - An Easy-to-use AI Machine Vision Sensor

HuskyLens is an easy-to-use AI machine vision sensor. It 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.

HuskyLens 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. 

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 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!

HuskyLens can be 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!

SPECIFICATION

• 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 x 44.5mm / 2.05 x 1.75inch

DOCUMENTS

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