Ever wanted your microcontroller to sense images without eating up all your processor speed? Or wish that you had an image sensor that wasn't limited to RGB - but could sense hue and saturation as well? Or just want a kickstarted, open source camera sensor with a cool name? Enter the Pixy2 CMUCam5 - an image sensor for your microcontroller that you can teach what to look for. It's a plug-and-play smart vision system for Arduino-compatibles, Raspberry Pi, or other microcontroller/computer systems.

Pixy2 is the second version of Pixy. It's faster, smaller and more capable than the original Pixy, adding line tracking/following algorithms as well as other features.

Here's what we've added to Pixy2:

Pixy2 detects lines, intersections and small barcodes, intended for line-following robots

Improved framerate – 60 frames-per-second

Tracking algorithms have been added to color-based object detection

Improved and simplified libraries for Arduino, Raspberry Pi and other controllers

Integrated light source

And of course, Pixy2 does everything that the original Pixy can do:

Small, fast, easy-to-use, low-cost, readily-available vision system

Learns to detect objects that you teach it

Connects to Arduino with included cable. Also works with Raspberry Pi, BeagleBone and similar controllers

All libraries for Arduino, Raspberry Pi, etc. are provided

C/C++ and Python are supported

Communicates via one of several interfaces: SPI, I2C, UART, USB or analog/digital output

Configuration utility runs on Windows, MacOS and Linux

All software/firmware is open-source GNU-licensed

All hardware documentation including schematics, bill of materials, PCB layout, etc. are provided

Typical Functions Overview

Seven color signatures

Hundreds of objects

Teach it the objects you’re interested in

Pixy2"tracks"each object it detects

color code

Detecting and tracking lines

Detecting Intersections and"branching"

Technical Details:

Dimensions	42mm x 38mm x 15mm
Weight	G.W 20g N.W 10g
Battery	Exclude
Processor	NXP LPC4330, 204 MHz, dual core
Image sensor	Aptina MT9M114, 1296×976 resolution with integrated image flow processor
Lens field-of-view	60 degrees horizontal, 40 degrees vertical
Power consumption	140 mA typical
Power input	USB input (5V) or unregulated input (6V to 10V)
RAM	264K bytes
Flash	2M bytes
Available data outputs	UART serial, SPI, I2C, USB, digital, analog
Integrated light source, approximately 20 lumens