--- product_id: 65517139 title: "Pixy2 Smart Vision Sensor - Object Tracking Camera for Arduino, Raspberry Pi, BeagleBone Black" brand: "charmed labs" price: "€ 141.79" currency: EUR in_stock: true reviews_count: 8 category: "Charmed Labs" url: https://www.desertcart.at/products/65517139-pixy2-smart-vision-sensor-object-tracking-camera-for-arduino-raspberry store_origin: AT region: Austria --- # 60 FPS ultra-fast tracking Integrated LED light source Plug & play USB connectivity Pixy2 Smart Vision Sensor - Object Tracking Camera for Arduino, Raspberry Pi, BeagleBone Black **Brand:** charmed labs **Price:** € 141.79 **Availability:** ✅ In Stock ## Summary > 🤖 Elevate your robotics game with Pixy2 — vision that keeps you ahead of the pack! ## Quick Answers - **What is this?** Pixy2 Smart Vision Sensor - Object Tracking Camera for Arduino, Raspberry Pi, BeagleBone Black by charmed labs - **How much does it cost?** € 141.79 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.at](https://www.desertcart.at/products/65517139-pixy2-smart-vision-sensor-object-tracking-camera-for-arduino-raspberry) ## Best For - charmed labs enthusiasts ## Why This Product - Trusted charmed labs brand quality - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Key Features - • **Cross-OS Configuration:** Setup easily on Windows, MacOS, or Linux with intuitive software utilities. - • **Advanced Line Following:** Detects lines, intersections & 'road signs' for smarter robot navigation. - • **Instant Object Learning:** Teach Pixy2 objects with a single button press—no coding hassle. - • **Real-Time Color Tracking:** Tracks multiple colors with LED feedback for precise object identification. - • **Multi-Platform Compatibility:** Seamlessly integrates with Arduino, Raspberry Pi & BeagleBone Black. ## Overview The Pixy2 Smart Vision Sensor is a compact, high-speed (60 FPS) object tracking camera designed for makers and robotics pros. Featuring integrated LED lighting and advanced algorithms for line following and sign detection, it supports Arduino, Raspberry Pi, and BeagleBone Black platforms. Its plug-and-play USB connectivity and cross-platform configuration tools make it the go-to smart sensor for next-level robot vision. ## Description 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. ## Features - 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 ## Technical Specifications | Specification | Value | |---------------|-------| | ASIN | B07D1CLYD2 | | Best Sellers Rank | #633 in Single Board Computers (Computers & Accessories) | | Brand | Charmed Labs | | Built-In Media | Integrated LED light source, software libraries for Arduino, Raspberry Pi, and BeagleBone Black | | CPU Model | Tegra | | Compatible Devices | Arduino, BeagleBone Black, Raspberry Pi | | Connectivity Technology | USB | | Customer Reviews | 4.5 out of 5 stars 198 Reviews | | Included Components | Integrated LED light source, software libraries for Arduino, Raspberry Pi, and BeagleBone Black | | Item Dimensions L x W x H | 3.46"L x 2.76"W x 1.57"H | | Item Weight | 2.4 ounces | | Manufacturer | Charmed Labs | | Mfr Part Number | 43237-2 | | Model Name | Charmed Labs Pixy 2.1 | | Model Number | PIXY2 | | Operating System | Linux,Windows | | Processor Brand | NXP | | Processor Count | 1 | | RAM Memory Installed | 1 GB | | RAM Memory Technology | DDR | | Ram Memory Installed Size | 1 GB | | Total Usb Ports | 1 | | UPC | 639853057369 | | Wireless Compability | Bluetooth | ## Product Details - **Brand:** Charmed Labs - **CPU Model:** Tegra - **Connectivity Technology:** USB - **Model Name:** Charmed Labs Pixy 2.1 - **Ram Memory Installed Size:** 1 GB ## Images ![Pixy2 Smart Vision Sensor - Object Tracking Camera for Arduino, Raspberry Pi, BeagleBone Black - Image 1](https://m.media-amazon.com/images/I/71F2k2oBIfS.jpg) ![Pixy2 Smart Vision Sensor - Object Tracking Camera for Arduino, Raspberry Pi, BeagleBone Black - Image 2](https://m.media-amazon.com/images/I/71u0cvxfHVS.jpg) ![Pixy2 Smart Vision Sensor - Object Tracking Camera for Arduino, Raspberry Pi, BeagleBone Black - Image 3](https://m.media-amazon.com/images/I/71R2vvFpsES.jpg) ![Pixy2 Smart Vision Sensor - Object Tracking Camera for Arduino, Raspberry Pi, BeagleBone Black - Image 4](https://m.media-amazon.com/images/I/618KDZX3+gS.jpg) ## Questions & Answers **Q: How many megapixels does this camera have?** A: Hi! This is sort of an odd question to ask about Pixy2, since the color connected components (image tracking) algorithm it runs makes the effective resolution of the camera much lower than the actual image sensor specs. The image sensor is 1.2 megapixel, but the output of the CCC algorithm is effectively much less (like .06 megapixel). Hope this helps! **Q: Can this device recognize and follow my dog as he walks on my grass covered backyard?** A: It can recognize specified colors but not specified shapes that aren't color codes. So it can very likely see your dog but may also pick up other things that are similar to the color of your dog. There are filtering options in the software that may work for your situation like filtering out objects smaller than a by b size for example. **Q: Can you programmatically teach it objects, or is it push button only?** A: You can teach objects using PixyMon software, or button press method, but either way you need to manually teach Pixy2 colors in order for it to track objects. Or, it can track lines automatically using the line following mode. **Q: Can I use python 3.7 with camera?** A: I have only used this camera connected to an arduino using the arduino IDE. It’s very simple to use that way. According to their documentation, you can also use a raspberry pi and download pixy libraries. All of the pixy libraries are in c++, so to call them from python you would have to know how to use “extern c”. I have never done that, so I cannot speak to how difficult it is. ## Customer Reviews ### ⭐⭐⭐⭐⭐ Review *by C***. on March 16, 2021* ### ⭐⭐⭐⭐⭐ Review *by S***O on July 6, 2019* ### ⭐⭐⭐⭐ Review *by G***0 on October 15, 2018* ## Frequently Bought Together - Charmed Labs Pixy2 Smart Vision Sensor - Object Tracking Camera for Arduino, Raspberry Pi, BeagleBone Black - Charmed Labs LLC Pan/Tilt2 Servo Motor Kit for Pixy2 - Dual Axis Robotic Camera Mount - Arduino Uno REV3 [A000066] – ATmega328P Microcontroller, 16MHz, 14 Digital I/O Pins, 6 Analog Inputs, 32KB Flash, USB Connectivity, Compatible with Arduino IDE for DIY Projects and Prototyping --- ## Why Shop on Desertcart? - 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016 - 🌍 **Shop Globally** — Access 737+ million products across 21 categories - 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price - 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members) - 🔒 **Secure Payments** — Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.at/products/65517139-pixy2-smart-vision-sensor-object-tracking-camera-for-arduino-raspberry](https://www.desertcart.at/products/65517139-pixy2-smart-vision-sensor-object-tracking-camera-for-arduino-raspberry) --- *Product available on Desertcart Austria* *Store origin: AT* *Last updated: 2026-05-07*