AprilTag / AprilGrid QR Code Calibration Board With Light Source

QR Code Calibration Board With Light Source

AprilTag/April Grid is a visual benchmark calibration tool that integrates active lighting function and is designed based on the AprilTag visual benchmark system. Its core feature is to use built-in light sources to provide a stable and uniform lighting environment, ensuring that QR code patterns can be clearly and accurately recognized and captured under various lighting conditions. Compared to traditional checkerboard patterns, each AprilTag on the AprilGrid calibration board has a unique ID, allowing the system to accurately identify corner positions even in partially occluded situations, greatly improving the robustness and accuracy of the calibration process.

Product features: Active lighting and anti-interference, light source uniformity of 95%, high precision and stability, fast identification and dynamic calibration, environmental adaptability and traceability, integrated design and portability, controllable performance parameters, customizable size and frequency band, can be customized for underwater use needs.

(1) Core scope of application;
Robot grasping and positioning visual calibration, multi camera system global calibration, autonomous driving vehicle vision system calibration, AR/VR device spatial positioning, unmanned aerial vehicle autonomous navigation visual calibration, mobile robot SLAM system calibration, camera and LiDAR joint calibration, industrial automation dynamic scene calibration.
(2) Working principle:
The QR code calibration board with light source uses AprilGrid (multiple AprilTag arrays arranged) as the physical coordinate reference, with built-in active light source providing uniform illumination. The algorithm identifies the unique ID of each tag and its precise corner position, and can accurately complete directional recognition and coordinate system establishment even if the calibration board is partially obstructed. After the camera captures the image, the algorithm extracts the sub-pixel coordinates of all label corners, solves the distortion coefficients involved in the camera, and can achieve global coordinate unification and stitching calibration of the multi camera system through multi label collaboration.