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Pixy2 is smaller, faster, and more powerful than the original, enabling quick object recognition and advanced line-following capabilities.
| Package Weight | 1 Pound |
Perfect for hobbyists creating robots that need to track and follow objects autonomously using visual recognition.
Ideal for students learning programming and robotics concepts using hands-on projects with easy integration into popular platforms.
Great for makers and inventors looking to add smart vision capabilities to their Arduino or Raspberry Pi projects.
Not suitable for high-end industrial applications requiring precision and reliability beyond what's offered by this sensor.
Pixy2 Smart Vision Sensor - Object Tracking Camera for Arduino, Raspberry Pi, BeagleBone Black
Introducing the Charmed Labs Pixy2 Smart Vision Sensor, the perfect choice for your object tracking needs. Whether you're an Arduino enthusiast, a Raspberry Pi aficionado, or a BeagleBone Black user, this smart vision sensor is designed to seamlessly integrate with your favorite platforms, offering you versatility and convenience in one powerful package. With its advanced visual sensor technology, the Pixy2 is ideal for a wide range of applications, from robotics and automation to machine vision systems and industrial automation. You can count on this smart vision sensor to deliver reliable object recognition, making it an indispensable tool for your projects. The Pixy2 is also a great fit for Raspberry Pi computer vision projects, offering unparalleled performance and ease of use.
Its compact design and intuitive interface make it a must-have for hobbyists and professionals alike. Experience the next level of precision and efficiency with the Charmed Labs Pixy2 Smart Vision Sensor. Take your projects to new heights with this cutting-edge technology.
The Pixy2 camera is designed for image tracking and is capable of recognising specified colors, but it cannot recognize shapes. It runs a color connected components algorithm that produces a lower effective resolution than its image sensor specs. The camera can recognize objects automatically using its line following mode, but it can also be manually programmed using PixyMon software. The camera's libraries are in C++, but they can be called from Python using "extern C". The Pixy2 has a field of view of 60 degrees horizontally and 40 degrees vertically, and it does not pick up IR light. It can be used for outdoor applications such as following colored objects but may not be practical for security cameras. Customers have reviewed the Pixy2 camera positively, stating that it is easy to use, has great built-in functions and labeling features. It is ideal for STEM education projects, vision tracking on FRC robots and has helped people identify colors. Some customers encountered challenges when choosing the correct motors for the robot, while others experienced difficulty due to poor quality or similar colored objects. Overall, the Pixy2 camera has an excellent user manual, and its software and demo programs work perfectly.
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