| Pixy2 | Gravity: HuskyLens | |
| Image |
|
|
| Processor |
NXP LPC4330,
Dual Core 204 MHz
|
Kendryte K210,
Dual Core 400MHz
|
| Image Sensor | MT9M114, 1.26 Megapixel | OV2640, 2.0 Megapixel |
| Built-in Algorithm |
Color Recognition
Line Tracking
Barcode Recognition
|
Face Recognition
Object Tracking
Object Recognition
Color Recognition
Line Tracking
Tag Recognition
Object Classification
|
| Communication Interface | UART, SPI, I2C, USB, digital, Analog | UART, I2C, USB |
| Onboard Screen | None | 2.0” IPS |
| Compatible Controllers |
Arduino, micro: bit,
Raspberry Pi
|
Arduino, micro: bit,
Raspberry Pi
|
| Dimensions | 1.65”x 1.5” | 2.05” x 1.75” |
Pixy2 is smaller, faster and more capable than the original Pixy. Like its predecessor, Pixy2 can learn to detect objects that you teach it, just by pressing a button. Additionally, Pixy2 has new algorithms that detect and track lines for use with line-following robots. The new algorithms can detect intersections and “road signs” as well. The road signs can tell your robot what to do, such as turn left, turn right, slow down, etc. And Pixy2 does all of this at 60 frames-per-second, so your robot can be fast, too.
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.
