PIXY 2 影像辨識模組


這是一個快速的視覺感測模組可以迅速辨識物體顏色並追蹤,可以直接連接到Arduino、樹莓派、BeagleBone Black、Propeller、其他控制器。


NT$ 2,489 含稅



這是一個快速的視覺感測模組可以迅速辨識物體顏色並追蹤,可以直接連接到Arduino、樹莓派、BeagleBone Black、Propeller、其他控制器。


與 Pixy 優化比較。

  • Smaller: less than half the size of Pixy1 
  • Faster: 60 frames per second (vs 50 frames per second for Pixy1)
  • New “line following” mode: many educational and hobbyist robot makers create robots that follow line paths (e.g. lines drawn on paper.) Pixy2 has custom algorithms for detecting and tracking lines. It can also decode “road signs”. 
  • Improved software: we improved PixyMon (the companion PC/Mac/Linux application) by making it more intuitive and responsive. We also improved our Arduino and Raspberry Pi libraries by adding more examples, making them easier to understand and extending their functionality.
  • Redesigned Pan Tilt: The new pan tilt is smaller and faster than the Pixy1 Pan Tilt.

The Pixy2 CMUcam5 is smaller, faster and more capable than the original Pixy. Like its predecessor, the Pixy2 can learn to detect objects that you teach it, just by pressing a button. Additionally, the Pixy2 has new algorithms that detect and track lines for use with line-following robots. With these new algorithms, you 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. The best part is that the Pixy2 does all of this at 60 frames-per-second, so your robot can be fast, too!

No need to futz around with tiny wires — the 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! 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. The hue of an object remains largely unchanged with changes in lighting and exposure. Changes in lighting and exposure can have a frustrating effect on color filtering algorithms, causing them to break. Pixy2’s filtering algorithm is robust when it comes to lighting and exposure changes.



  • 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

pixy2_front_labeled.jpg pixy2_back_labeled.jpg



  • 1x Pixy2 CMUcam5
  • 1x Pixy IO to Arduino ISP Cable
  • 1x Micro USB Cable
  • 1x Mounting Hardware