SparkFun

SparkFun Optical Tracking Odometry Sensor - PAA5160E1 (Qwiic)

Name: SparkFun Optical Tracking Odometry Sensor - PAA5160E1 (Qwiic)
Brand: SparkFun
SKU: SF-SEN-24904
Price: 171.8 AUD
Availability: OutOfStock

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The SparkFun Qwiic Optical Tracking Odometry Sensor empowers you to elevate your robot's navigation capabilities with exceptional precision and streamlined i...

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SparkFun Optical Tracking Odometry Sensor - PAA5160E1 (Qwiic)

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The SparkFun Qwiic Optical Tracking Odometry Sensor empowers you to elevate your robot's navigation capabilities with exceptional precision and streamlined integration. This compact, all-in-one sensor leverages the power of the PAA5160E1 chip from PixArt Imaging Inc., delivering accurate dual-axis motion data across various hard floor surfaces. But that's not all! This sensor boasts a powerful built-in 6-axis Inertial Measurement Unit (IMU) and an onboard microcontroller that performs real-time sensor fusion and tracking algorithms.

The Optical Tracking Odometry board measures a mere 1in. by 1in. and boasts a smaller profile than its industry counterparts. Unlike bulkier options that require multiple boards, this sensor features a single-board design with an onboard tracking algorithm. User-friendly Arduino and Python libraries simplify integration, quickly getting you up and running.

The PAA5160E1 chip offers exceptional tracking performance with a typical error rate of 3-5% within a working range of 10mm to 27mm. However, a calibration within the sensor's firmware can significantly reduce this error to under 1% in ideal conditions. This sensor excels at high-speed motion tracking of up to 2.5 meters per second, making it an excellent choice for navigating warehouse robots, commercial robots, and other fast-moving applications.

Thanks to its Qwiic compatibility, the SparkFun sensor integrates seamlessly into your XRP or other robotics projects. This user-friendly interface eliminates complex wiring configurations and simplifies connection to other Qwiic-enabled components. The included Arduino and Python libraries and the onboard tracking algorithm in the firmware streamline the development process, allowing you to focus on creating innovative robot functionalities.

Jargon buster

Plain-language definitions for the technical terms used above.

IMU: An IMU (Inertial Measurement Unit) combines motion sensors, typically an accelerometer and gyroscope and sometimes a magnetometer, to measure movement and orientation. It can sense motion, tilt, vibration, rotation, and changes in direction, which is useful for tasks such as navigation, stabilisation, gesture detection, and asset tracking.
microcontroller: A microcontroller is a small computer on a single chip that runs a stored program and controls connected inputs and outputs such as buttons, sensors, displays and communication interfaces. In a device built around one, it is the part that executes the code and coordinates the device's behaviour.
Qwiic: Qwiic is a plug-in connector system for I2C devices that uses small 4-pin cables, so you can connect compatible sensors without soldering. It matters because your controller or adapter also needs Qwiic, or you will need a cable or breakout to wire it up.