{"product_id":"pixy2-cmucam5-sensor","title":"Pixy2 CMUcam5 Sensor","description":"\u003cp\u003e\u003cstrong\u003eThe Pixy2 CMUCam5 Vision Sensor is a fast, teachable smart camera that offloads image processing from your microcontroller, with hue-based detection, 60 FPS tracking, and easy integration over SPI, I2C, UART, and more.\u003c\/strong\u003e\u003c\/p\u003e\n\u003chr\u003e\n\u003cp\u003eEver 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? \u003cstrong\u003eEnter the Pixy2 CMUCam5\u003c\/strong\u003e - 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.\u003c\/p\u003e\n\u003cp\u003eThe Pixy2 is an \u003cstrong\u003eimage sensor\u003c\/strong\u003e 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 - \u003cstrong\u003eUART serial, SPI, I2C, digital out, or analogue out\u003c\/strong\u003e - 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!\u003c\/p\u003e\n\u003cp\u003ePixy2 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 \u003cstrong\u003e60 frames-per-second\u003c\/strong\u003e, so your robot can be fast, too.\u003c\/p\u003e\n\u003cp\u003eThe 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.\u003c\/p\u003e\n\u003cp\u003eIt can also remember seven different colour signatures, find hundreds of objects at the same time, and is super fast - processing at 60 frames a second. Finally, the Pixy2 is also \u003cstrong\u003eteachable\u003c\/strong\u003e so you can set it up to only send you images that you've specifically told it to look for. It's easy and fast and has an open source application called \u003cstrong\u003ePixyMon\u003c\/strong\u003e.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eEach Pixy2 Sensor comes with a 6-pin-to-10-pin IDC cable, a USB to Micro USB cable, and mounting tabs and screws.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eFor more information, check out the Pixy2 website!\u003c\/p\u003e\n\u003cp\u003e\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/6THoVaXlafw?si=1rh-jOWSj_eqaesD\u0026amp;start=193\" title=\"YouTube video player\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003ch2\u003eFeatures\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eSmart vision system for microcontrollers and single-board computers\u003c\/li\u003e\n\u003cli\u003eTeachable object detection - learns what to look for with a button press\u003c\/li\u003e\n\u003cli\u003eDetects and tracks lines for line-following robots\u003c\/li\u003e\n\u003cli\u003eRecognises intersections and visual road signs for robot navigation\u003c\/li\u003e\n\u003cli\u003eProcesses at 60 frames per second\u003c\/li\u003e\n\u003cli\u003eUses hue and saturation detection instead of RGB for lighting-independent performance\u003c\/li\u003e\n\u003cli\u003eRemembers up to seven different colour signatures\u003c\/li\u003e\n\u003cli\u003eDetects hundreds of objects simultaneously\u003c\/li\u003e\n\u003cli\u003eMultiple communication options: UART serial, SPI, I2C, digital output, or analogue output\u003c\/li\u003e\n\u003cli\u003eCompatible with Arduino-compatible boards, Raspberry Pi, and other microcontroller systems\u003c\/li\u003e\n\u003cli\u003eStack multiple Pixy2 sensors on a single microcontroller\u003c\/li\u003e\n\u003cli\u003eSmaller and faster than original Pixy camera\u003c\/li\u003e\n\u003cli\u003eOpen source PixyMon application software\u003c\/li\u003e\n\u003cli\u003eIncludes 6-pin-to-10-pin IDC cable, USB to Micro USB cable, mounting tabs and screws\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eDimensions (no IDC cable, no screws): 43mm x 39mm x 16mm\u003c\/li\u003e\n\u003cli\u003eHeight of Camera: 4mm\u003c\/li\u003e\n\u003cli\u003eWeight (no IDC cable, no screws): 10g\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003ePixy2 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:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003ePixy2 detects lines, intersections and small barcodes, intended for line-following robots\u003c\/li\u003e\n\u003cli\u003eImproved framerate – 60 frames-per-second\u003c\/li\u003e\n\u003cli\u003eTracking algorithms have been added to colour-based object detection\u003c\/li\u003e\n\u003cli\u003eImproved and simplified libraries for Arduino, Raspberry Pi and other controllers\u003c\/li\u003e\n\u003cli\u003eIntegrated light source\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eAnd of course, Pixy2 does everything that the original Pixy can do:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSmall, fast, easy-to-use, low-cost, readily-available vision system\u003c\/li\u003e\n\u003cli\u003eLearns to detect objects that you teach it\u003c\/li\u003e\n\u003cli\u003eConnects to Arduino with included cable. Also works with Raspberry Pi, BeagleBone and similar controllers\u003c\/li\u003e\n\u003cli\u003eAll libraries for Arduino, Raspberry Pi, etc. are provided\u003c\/li\u003e\n\u003cli\u003eC\/C++ and Python are supported\u003c\/li\u003e\n\u003cli\u003eCommunicates via one of several interfaces: SPI, I2C, UART, USB or analogue\/digital output\u003c\/li\u003e\n\u003cli\u003eConfiguration utility runs on Windows, MacOS and Linux\u003c\/li\u003e\n\u003cli\u003eAll software\/firmware is open-source GNU-licensed\u003c\/li\u003e\n\u003cli\u003eAll hardware documentation including schematics, bill of materials, PCB layout, etc. are provided\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eRevision History\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAs of Nov 20th, 2024\u003c\/strong\u003e - The Pixy2 has been updated to the 2.1 Version with a new Camera Lens.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003ePackage Contents\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e1x Pixy2 CMUcam5 Sensor\u003c\/li\u003e\n\u003cli\u003e1x 6-pin-to-10-pin IDC cable\u003c\/li\u003e\n\u003cli\u003e1x USB to Micro USB cable\u003c\/li\u003e\n\u003cli\u003e1x Set of mounting tabs and screws.\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Adafruit","offers":[{"title":"Default Title","offer_id":48620783927518,"sku":"wkg1787257286577","price":68.4,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0745\/0705\/9422\/files\/pixy2-cmucam5-sensor_1.jpg?v=1787257295","url":"https:\/\/primewearfashion.shop\/products\/pixy2-cmucam5-sensor","provider":"My Store","version":"1.0","type":"link"}