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Pixy2 Smart Vision Sensor - Object Tracking Camera for Arduino

Pixy2 Smart Vision Sensor - Object Tracking Camera for Arduino

Q: How many megapixels does this camera have?

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?

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?

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?

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.

Product ID: 612922374

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Details

Brand
Charmed Labs
Model Name
Charmed Labs
RAM Memory Installed Size
1 GB
CPU Model
Tegra
Connectivity Technology
USB

🎯60 FPS ultra-fast tracking

🔦Integrated LED light source

🤖Multi-platform compatibility

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

Description

🚀 Elevate your robotics game with Pixy2 — see smarter, move faster!

SMART LINE FOLLOWING - Detects lines, intersections, and custom 'road signs' for autonomous navigation.
LIGHTNING FAST VISION - Processes at 60 frames per second for real-time, precise tracking.
INSTANT OBJECT LEARNING - Teach Pixy2 objects with a single button press—no coding hassle.
PLUG PLAY VERSATILITY - Configurable on Windows, MacOS, and Linux with intuitive software utilities.
CROSS PLATFORM POWERHOUSE - Seamlessly integrates with Arduino, Raspberry Pi, and BeagleBone Black.

The Pixy2 Smart Vision Sensor is a compact, high-speed object tracking camera designed for makers and professionals. Featuring 60 FPS processing, integrated LED lighting, and advanced line-following algorithms, it simplifies robot vision tasks. Compatible with major platforms like Arduino and Raspberry Pi, Pixy2 offers versatile, cross-OS configuration to accelerate your robotics projects.

Specifications

Brand	Charmed Labs
Model	PIXY2
Model Name	Charmed Labs Pixy 2.1
Product Dimensions	8.79 x 7.01 x 3.99 cm; 68.04 g
Item model number	PIXY2
Ram Memory Installed Size	1 GB
RAM memory maximum size	1 GB
Ram Memory Technology	DDR
Operating System	Linux,Windows
Processor Brand	ARM
Processor Type	Tegra
Processor Count	1
Hardware Interface	USB
Compatible Devices	Arduino, BeagleBone Black, Raspberry Pi
Mounting Hardware	Integrated LED light source, software libraries for Arduino, Raspberry Pi, and BeagleBone Black
Batteries Included	No
Batteries Required	No
Wireless Type	Bluetooth
Total USB ports	1
Connector Type	USB
Device interface - primary	Buttons
Form Factor	Stick
Has Auto Focus	No
Programmable Buttons	No
Country of Origin	USA
Item Weight	68 g

Have a Question? See What Others Asked

How many megapixels does this camera have?

Can this device recognize and follow my dog as he walks on my grass covered backyard?

Can you programmatically teach it objects, or is it push button only?

Can I use python 3.7 with camera?

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