Pixy 2 CMUcam5 Image Sensor (Robot Vision)
The Pixy2 (CMUcam5) is a fast, compact vision sensor for robotics that can detect objects, track colours, follow lines, and read small barcodes — all at 60 frames per second. Teach it to recognise objects by pressing a button, and it returns X/Y coordinates, size, and unique IDs for each detected object.
Pixy2 includes line-following algorithms that detect lines, intersections, and "road sign" barcodes to guide your robot. It connects directly to Arduino (via included cable) or Raspberry Pi (via USB), and also supports SPI, I2C, and UART for other controllers. Software libraries for Arduino and Raspberry Pi simplify programming.
Key Features
- Colour-Based Object Detection – Teach and track objects by colour with tracking algorithms
- Line Following – Detects lines, intersections, and barcode road signs
- 60 FPS Processing – Fast enough for real-time robot control
- One-Button Learning – Teach new objects by pressing a button
- Integrated Light Source – Approximately 20 lumens
- Multiple Interfaces – SPI, I2C, UART, USB, digital, and analogue output
- Arduino & Raspberry Pi Libraries – Ready-to-use software support
Specifications
- Processor – NXP LPC4330, 204 MHz dual-core
- Image Sensor – Aptina MT9M114, 1296 × 976 with integrated image flow processor
- Lens – Standard M12, 60° horizontal / 40° vertical field of view
- RAM – 264 KB
- Flash – 2 MB
- Power Input – USB (5V) or unregulated 6–10V
- Power Consumption – 140 mA typical
- Dimensions – 38 × 42 × 15 mm (1.5 × 1.65 × 0.6″)
- Weight – 10 g
Ideal For
- Line-following and autonomous robots
- Colour-based object tracking and sorting
- Robotics competitions and STEM projects
- Computer vision prototyping
Resources
Product Information
Product Information
Shipping & Returns
Shipping & Returns
Description
The Pixy2 (CMUcam5) is a fast, compact vision sensor for robotics that can detect objects, track colours, follow lines, and read small barcodes — all at 60 frames per second. Teach it to recognise objects by pressing a button, and it returns X/Y coordinates, size, and unique IDs for each detected object.
Pixy2 includes line-following algorithms that detect lines, intersections, and "road sign" barcodes to guide your robot. It connects directly to Arduino (via included cable) or Raspberry Pi (via USB), and also supports SPI, I2C, and UART for other controllers. Software libraries for Arduino and Raspberry Pi simplify programming.
Key Features
- Colour-Based Object Detection – Teach and track objects by colour with tracking algorithms
- Line Following – Detects lines, intersections, and barcode road signs
- 60 FPS Processing – Fast enough for real-time robot control
- One-Button Learning – Teach new objects by pressing a button
- Integrated Light Source – Approximately 20 lumens
- Multiple Interfaces – SPI, I2C, UART, USB, digital, and analogue output
- Arduino & Raspberry Pi Libraries – Ready-to-use software support
Specifications
- Processor – NXP LPC4330, 204 MHz dual-core
- Image Sensor – Aptina MT9M114, 1296 × 976 with integrated image flow processor
- Lens – Standard M12, 60° horizontal / 40° vertical field of view
- RAM – 264 KB
- Flash – 2 MB
- Power Input – USB (5V) or unregulated 6–10V
- Power Consumption – 140 mA typical
- Dimensions – 38 × 42 × 15 mm (1.5 × 1.65 × 0.6″)
- Weight – 10 g
Ideal For
- Line-following and autonomous robots
- Colour-based object tracking and sorting
- Robotics competitions and STEM projects
- Computer vision prototyping
