Home Core Cognition Pixy2 Smart Vision Sensor – Object Tracking Camera for Arduino, Raspberry Pi, BeagleBone Black

Pixy2 Smart Vision Sensor - Object Tracking Camera for Arduino, Raspberry Pi, BeagleBone Black

$29.90
SKU: B07D1CLYD2

OVERVIEW

Price: $29.90
(as of Nov 11, 2025 03:51:14 UTC - Details)

Product Dimensions 3.46 x 2.76 x 1.57 inches
Item Weight 2.4 ounces
ASIN B07D1CLYD2
Item model number PIXY2
Customer Reviews

4.4 out of 5 stars

196 ratings

4.4 out of 5 stars

Best Sellers Rank

Is Discontinued By Manufacturer No
Date First Available May 11, 2018
Manufacturer Charmed Labs

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.
Robot vision made easy - press the button to teach Pixy2 an object.
New with Pixy2: line following mode and integrated LED light source!
Simplify your programming - receive just the objects you're interested in.
Use whatever controller you want - includes software libraries for Arduino, Raspberry Pi, and BeagleBone Black.
Configuration utility runs on Windows, MacOS and Linux

Customers say

Customers find the vision sensor to be an impressive device that's easy to set up and use. They appreciate its functionality, with one customer noting that all demo programs work perfectly, and its color recognition capabilities, with one mentioning its ability to track objects by color. Customers praise its features, with one highlighting its AI capabilities, and consider it good value for money. They like its object recognition capabilities, with one customer noting its excellent performance once trained.

Price: $29.90
(as of Nov 11, 2025 03:51:14 UTC - Details)

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