Pixy2 CMUCam5 is a complete vision system with a powerful image sensor and microprocessor. It includes learning algorithms and the detection of colors, lines, intersections, and small barcodes. It includes all the techniques required for visual identity. You can teach it what to look for, and program it to send only the information you're looking for, so your microcontroller isn't overwhelmed with data.
Pixy2 is a plug-and-play smart vision system for Arduino-compatible devices, Raspberry Pi, or other microcontrollers/computer systems. It can export its information in a variety of useful ways - UART serial, SPI, I2C, digital output, or analog output - so your microcontroller or microcomputer can easily communicate while doing other tasks.
Additionally, Pixy2 has new algorithms for detecting and tracking lines, which can be used with line-following robots. The new algorithm can also detect intersections and "road signs." Road signs can tell your robot what to do, such as turn left, turn right, slow down, etc. Pixy2 does all of this at 60 frames per second, so your robot can be fast too. Pixy2 is also teachable, so you can set it to only send you the images you explicitly tell it to look for. It's simple and fast and has an open-source application called PixyMon.
Features
Strong Performance: Process at 60 frames per second, find hundreds of objects simultaneously, can remember seven color signatures internally, can support multiple Pixy2 vision sensors to one microcontroller
Easy and simple to operate: Teach Pixy2 an Object at the Push of a Button and can only receive the objects you are interested in
Smart new algorithms: detect objects, track lines, even read barcodes without the help of a host computer, and detect intersections and "road signs”
Strong Compatibility: include software libraries for Arduino, Raspberry Pi, support SPI, I2C, UART, USB, or analog/digital output, and Configuration utility runs on Windows, macOS, and Linux
Fully Open source: All software/firmware is open-source GNU-licensed and all hardware documentation is provided.
Application
Small mobile intelligent robot with image recognition
Image Recognition project
Object Tracking project
Barcode Reading
Technical Details
Processor
NXP LPC4330, 204 MHz, Dual-core
Image sensor
Aptina MT9M114, 1296×976 resolution with integrated image flow processor
