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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. The Pixy2 is an image sensor with a powerful processor that you can program to only send the information you’re looking for so your microcontroller isn’t overwhelmed by data. The Pixy2 also exports its information in a variety of useful ways – UART serial, SPI, I2C, digital out, or analog out – so your microcontroller or microcomputer can communicate easily while still doing other tasks. It’s so unobtrusive that you can even hook up multiple Pixy2’s to one microcontroller!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 Âroad signsÂ 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. The Pixy2 uses hue and saturation as its primary means of image detection – rather than the normal RGB. This means that lighting or exposure won’t affect the Pixy2’s detection of an item – which is a frustrating problem with many image sensors. It’s also a vast improvement over previous versions of the Pixy CMUCam, adding increased flexibility when it comes to lighting and exposure changes. It can also remember seven different color signatures, find hundreds of objects at the