DFRobot HUSKYLENS Easy-to-use AI Vision Camera Sensor

The HuskyLens is an easy-to-use AI vision camera sensor that can be installed on homemade robots. It can recognize objects, faces, lines, colors, and tags with a simple click. You can adjust the settings through the control knobs. HuskyLens can connect to your Arduino, Raspberry Pi, LattePanda, or BBC micro:bit via UART or I2C port. With the HuskyLens, you can carry out very creative projects without having to deal with complex algorithms.

With the HuskyLens, DFRobot aims to develop the simplest AI vision sensor. You can change various algorithms using the control knobs. You can also teach the AI sensor to recognize new objects. 

Info:

HuskyLens is new on the market and not much information or programming examples are available yet. Therefore it is not suitable for beginners.

Recommended Accessory:

• Silicon Protective Case for HUSKYLENS

Features and Functions of HuskyLens:

• Easy operation of settings via control knobs
• Can be connected to Raspberry, LattePanda, Micro:bit or Arduino via UART or I2C.
• Learning and recognizing objects
• Facial recognition
• Color recognition
• Object tracking
• Supports interactive gesture control
• Suitable for building autonomous robots
• HuskyLens can recognize and follow lines and recognize QR codes for directions

Documentation:

• DFRobot Wiki

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 recognition mode, 80% backlight brightness, fill light off)
• Connection interface: 
• UART, 9600 to 115200bps
• I2C, 100K to 400K
• Display:
• 2-inch IPS display
• Resolution: 320x240 pixels
• Built-in algorithms: Object tracking, facial recognition, object recognition, line tracking, color recognition, tag recognition
• Dimensions: 52mm x 44.5mm
• Weight: xxg