Description
HuskyLens is an easy to use AI machine vision sensor (see video). It has multiple functions that can be used such as:
- Face recognition
- Object tracking
- Object recognition
- Line tracking
- Color recognition
- QR code recognition
The HuskyLens has a UART/I2C port allowing it to connect to control boards such as Arduino and Raspberry Pi.
HuskyLens is easy-to-use. You can change various algorithms by pressing the function button on the touch display. Click the learn button to allow the HuskyLens to learn. After that the sensor will recognize them.
HuskyLens has a 2" IPC touch screen allowing parameter tuning on the sensor itself.
The sensor has built-in machine learning that enables it to recognize faces and objects. There are various functionalities available like long pressing the learning button allow the sensor to learn new things at different angles and ranges. 
The sensor makes use of the new AI chip Kendryte K210. The chip can run neural network algorithms and has excellent performance even capture object moving at a fast pace.
There are various applications for the sensor and more information can be found here
Specification
- Processor: Kendryte K210
- Image Sensor: OV2640 (2.0 Megapixel Camera)
- Supply Voltage: 3.3 - 5Vdc
- Current Consumption Typical: 320mA @ 3.3V, 230mA @ 5.0V
- Connection Interface: UART, I2C
- Display: 2.0" IPS screen (320x240 resolution)
- Built-in Algorithms include
- Face Recognition
- Object Tracking
- Object Recognition
- Line Tracking
- Color Recognition
- Tag (QR Code) Recognition
- Dimensions: 52mm x 44.5mm
Package Content
- HuskyLens Mainboard
- M3 Screws x 6
- M3 Nuts x 6
- Small Mounting Bracket
- Heightening Bracket
- Gravity 4-Pin Sensor Cable
Documents