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Pixy 2 CMUcam5 Image Sensor (Robot Vision)

$64.90
SKU: SEN0265
Pixy2 is a compact vision sensor for detecting objects and tracking lines at 60 fps, compatible with Arduino and Raspberry Pi, featuring simplified libraries.
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Introduction

Note: Please don't tighten the camera, or the chip will be damaged

If you need an AI Machine Vision Sensor with more functions, we recommend Gravity: HUSKYLENS.

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 “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 60 frames-per-second, so your robot can be fast, too.

Pixy 2 Machine Vision Camera Review with Arduino

Pixy2 Camera - Image Recognition for Arduino & Raspberry Pi



Vision artificial con pixy 2 arduino modulo mp3 y display oled de la mano de DFRobot

Connect directly to Arduino or Raspberry Pi




No need to futz around with tiny wires — Pixy2 comes with a special cable to plug directly into an Arduino and a USB cable to plug into a Raspberry Pi, so you can get started quickly. No Arduino or Raspberry Pi? No problem! Pixy2 has several interfaces (SPI, I2C, UART, and USB) and simple communications, so you get your chosen controller talking to Pixy2 in short order.

Simplify your programming




To get you up and running as fast as possible, we offer software libraries for Arduino and Raspberry Pi. Pixy2 makes your programs simpler by only sending the data you’re looking for. For example, if you teach Pixy2 a purple object, you will only receive data (X-Y coordinates, size, and unique ID) about the purple objects that Pixy2 detects.

Features

  • 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
  • Specification

  • Lens type: Standard M12
  • 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
  • Dimensions:1.5” x 1.65” x 0.6”
  • Weight: 10 grams
  • Integrated light source, approximately 20 lumens
  • Shipping List

  • Pixy 2 CMUcam5 Image Sensor x1
  • FC-10P to FC-6P Cable x1
  • Screw Package x1
  • Resource

    AllProjectsBlogTutorialCourseMedia
    AI Machine Vision Sensor Selection Guide

    Blog AI Machine Vision Sensor Selection Guide

    DFRobot
    Jan 25, 2021

    Review

    Mattia. Aug 07, 2023

    All ok, the description write in a good way.

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    Pixy 2 CMUcam5 Image Sensor (Robot Vision)
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