DFRobot HUSKYLENS Easy-to-use AI Vision Camera Sensor

HuskyLens is an easy-to-use AI vision camera sensor that can be mounted on a self-built robot. It can learn to recognise objects, faces, lines, colours and tags with a simple click. You can easily adjust the settings via the control buttons. HuskyLens can connect to your Arduino, Raspberry Pi, LattePanda or BBC micro:bit via UART or I2C port. With HuskyLens you can do very creative projects without having to play with complex algorithms.

DFRobot's goal with the HuskyLens is to create the simplest AI vision sensor possible. You can change different algorithms using the control buttons. You can also teach the AI sensor new objects that it can then detect.
Info:HuskyLens is new on the market and there is not much information and programming examples available yet. Therefore not yet suitable for beginners.
Recommended accessories:
Silicone protective cover for HUSKYLENS

Features and functions HuskyLens:
Easy operation of settings via the control buttonsy
Can be connected to the Raspberry, LattePanda, Micro:bit or Arduino via UART or I2C.
Learning and recognising objects
Face recognition
Colour recognition
Object tracking
Supports interactive gesture control
Suitable for building autonomous robots
HuskyLens can detect and track lines and recognise QR codes for directions

Technical details:
Processor: Kendryte K210
Image sensor: OV2640 (2.0 megapixel camera)
Operating voltage: 3.3 to 5V DC
Power consumption: 310mA at 3.3V, 220mA at 5.0V (face detection mode, 80% backlight brightness, fill light off)
Connectivity interface:
UART, 9600 to 115200bps
I2C, 100K to 400K
Display:
2-inch IPS display
Resolution: 320x240Pixel
Built-in algorithms: Object tracking, face detection, object detection, line tracking, colour detection, tag detection.
Dimension: 52mm x 44.5mm.