Description
Pixy2 is the second version of Pixy. It’s faster, smaller, and more capable than the original Pixy, and it adds line tracking/following algorithms and other features.
Here’s what we’ve added to Pixy2:
- Pixy2 detects lines, intersections, and small barcodes, intended for line-following robots
- Improved framerate – 60 frames-per-second
- Tracking algorithms have been added to color-based object detection
- Improved and simplified libraries for Arduino, Raspberry Pi, and other controllers
Integrated light source
And of course, Pixy2 does everything that the original Pixy can do:
- Small, fast, easy-to-use, low-cost, readily-available vision system
- Learns to detect objects that you teach it
- Connects to Arduino with included cable. Also works with Raspberry Pi, BeagleBone, and similar controllers
- All libraries for Arduino, Raspberry Pi, etc. are provided
- C/C++ and Python are supported
- Communicates via one of several interfaces: SPI, I2C, UART, USB or analog/digital output
- Configuration utility runs on Windows, MacOS, and Linux
- All software/firmware is open-source GNU-licensed
- All hardware documentation including schematics, bill of materials, PCB layout, etc. are provided
Typical Functions Overview
- Seven color signatures
- Hundreds of objects
- Teach it the objects you’re interested in
- Pixy2 “tracks” each object it detects
- color code
- Detecting and tracking lines
- Detecting Intersections and “branching”
Technical Details
| Dimensions | 42mm x 38mm x 15mm |
| Weight | G.W 20g N.W 10g |
| Battery | Exclude |
| Processor | NXP LPC4330, 204 MHz, dual-core |
| Image sensor | Aptina MT9M114, 1296×976 resolution with integrated image flow processor |
| Lens field-of-view | 60 degrees horizontal, 40 degrees vertical |
| Power consumption | 140 mA typical |
| Power input | USB input (5V) or unregulated input (6V to 10V) |
| RAM | 264K bytes |
| Flash | 2M bytes |
| Available data outputs | UART serial, SPI, I2C, USB, digital, analog |
| The integrated light source, approximately 20 lumens | |
Part List
| Pixy 2 CMUcam5 Image Sensor | 1 |
| FC-10P to FC-6P Cable | 1 |
| Screw Package | 1 |
Specifications:
Dimensions: 42mm x 38mm x 15mm Weight: G.W 20g N.W 10g Processor: NXP LPC4330, 204 MHz, dual-core Image sensor: Aptina MT9M114, 1296×976 resolution with integrated image flow processor Lens field-of-view: 60 degrees horizontal, 40 degrees vertical Power consumption: 140 mA typical Features: |Raspberry Pi Finder| **Advanced Vision Capabilities** The Pixy2 CMUcam5 Smart Vision Sensor is a cutting-edge device designed to enhance the capabilities of your Arduino or Raspberry Pi projects. With its compact dimensions and lightweight design, this sensor is the perfect addition to any DIY robotics or automation project. The Pixy2's advanced image sensor, the Aptina MT9M114, offers a high-resolution 1296×976 image, ensuring precise object detection and tracking. The integrated image flow processor further optimizes the sensor's performance, making it an ideal choice for motion sensing and line-following applications. **Versatile Connectivity and Compatibility** The Pixy2 is not just a sensor; it's a versatile tool that connects seamlessly with a variety of platforms. Whether you're using an Arduino, Raspberry Pi, or any other compatible controller, the Pixy2 provides a straightforward connection via SPI, I2C, UART, USB, or analog/digital output. This flexibility ensures that the sensor can be easily integrated into your existing projects or used as a standalone component. The Pixy2's open-source software and hardware documentation make it accessible to both beginners and experienced developers, fostering a community of innovators and creators. **Ease of Use and Customization** The Pixy2 is designed for ease of use, with a simple setup process that allows you to teach it to recognize objects of interest. Its ability to track objects and lines makes it an excellent choice for applications such as AWS sensor data processing, where real-time monitoring and data analysis are crucial. The Pixy2's low-cost and readily available nature make it an accessible solution for hobbyists and professionals alike. Whether you're looking to enhance your Arduino salinity sensor or build a motion-sensing Raspberry Pi project, the Pixy2 is the smart vision sensor that can make it happen.
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