The Pixy2 cam is an advanced camera with its own processor. This is an amazing sensor for making line following industrial grade robots alongwith color recognition and object recognition facilities. This is also compatible with Arduino and Raspberry Pi with available libraries. The cable for connecting to Arduino compatible boards and Raspberry Pi Boards is provided with the Pixy2. The Pixy 2 is highly accurate and fast can enable your robots to follow lines of all thicknesses and even as thin as 3 mm at high speeds!!
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. With the added functionality of line detection, intersection detection and small barcodes, this make the job much simpler and robots much more accurate.
The integrated light source of Pixy2 provides and added benefit while line following or following colour based objects.
And of course, Pixy2 does everything that the original Pixy can do. Like its predecessor, the Pixy2 can learn to detect objects that you teach it, just by pressing a button. With these new algorithms, you can detect intersections and “road signs” as well. The Pixy2 has several interfaces including SPI, I2C, UART, and USB with simple communications, so you get your chosen controller talking to the Pixy2 in short order.
The Pixy2 uses a color-based filtering algorithm to detect objects. Color-based filtering methods are popular because they are fast, efficient, and relatively robust. Pixy2 calculates hue and saturation of each RGB pixel from the image sensor and uses these as the primary filtering parameters
Link: Interfacing of Pixy2 (PixyCam)
- Pixy2 detects lines, intersections and small barcodes, intended for line-following robots
- Improved framerate: 60 frames/second
- Tracking algorithms have been added to color-based object detection
- Improved and simplified libraries for Arduino compatible boards, Raspberry Pi and other controllers
- Integrated light source
- Small, fast, easy-to-use, low-cost, readily-available vision system
- Connects to Arduino compatible boards with included cable. Also works with Raspberry Pi, BeagleBone and similar controllers
- Communicates via one of several interfaces: SPI, I2C, UART, USB or analog/digital output
- C/C++ and Python are supported
- Configuration utility runs on Windows, MacOS and Linux
- All software/firmware is open-source GNU-licensed
- Image sensor: Aptina MT9M114, 1296×976 resolution with integrated image flow processor
- Processor: NXP LPC4330, 204 MHz, dual core
- 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