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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.

ID del producto: 612922374

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Detalles

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

💻1 GB RAM

📏8.79 x 7.01 x 3.99 cm

🔌USB interface

Comprados juntos con frecuencia

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

Descripción

👁️ See the Future of Robotics!

📦 COMPACT DESIGN - Lightweight at just 68g, making it perfect for portable projects.
🌈 INTEGRATED LED LIGHT - Enhance visibility and performance with built-in lighting for optimal tracking.
🖥️ CROSS PLATFORM UTILITY - Configuration utility available on Windows, MacOS, and Linux for versatile use.
🚀 SIMPLIFIED OBJECT TRACKING - Easily teach Pixy2 to recognize objects with a single button press.
🔄 MULTI PLATFORM COMPATIBILITY - Seamlessly integrates with Arduino, Raspberry Pi, and BeagleBone Black.

The Pixy2 Smart Vision Sensor by Charmed Labs is a cutting-edge object tracking camera designed for easy integration with popular platforms like Arduino, Raspberry Pi, and BeagleBone Black. With its compact dimensions and lightweight design, it features a user-friendly button for teaching object recognition, an integrated LED light source for enhanced visibility, and a versatile configuration utility compatible with multiple operating systems.

Presupuesto

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	Raspberry Pi, Arduino, BeagleBone Black
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
Item Weight	68 g

¿Tienes una pregunta? Mira lo que otros preguntaron

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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