augg.io vs Record3DStream

For 3D artists and developers who want to create persistent AR without the hassle, augg.io puts powerful tools in your hands to get things done quickly and creatively. Our iOS app leverages your iPhone's LiDAR to scan environments with precision, create reliable Cloud Anchors, and position your AR content exactly where you want it. No more wrestling with complex positioning systems or rebuilding apps for minor adjustments. What you can do with augg.io: • Scan physical spaces and create accurate 3D models using LiDAR • Set up and organize Cloud Anchors by location to manage large-scale AR experiences • Adjust the position, rotation, and scale of AR objects directly in the app • Make changes to your AR experiences without rebuilding your apps augg.io streamlines the entire AR development workflow, letting you focus on creating amazing content instead of solving technical problems. It's now easier than ever to develop persistent markerless location-based experiences. Perfect for creating everything from interactive exhibits and indoor navigation to immersive games and artistic installations.

Record3D Stream turns your iPhone or iPad with LiDAR into a real-time 3D sensor for robotics and computer vision applications. Stream synchronized RGB images, depth maps, confidence maps, camera intrinsics, 6-DoF pose, and IMU data over WiFi or USB to your computer. Integrate easily with our Python SDK for visualization and data processing, or use our ROS2 driver to publish sensor data as standard ROS2 topics (PointCloud2, Image, LaserScan) — perfect for robotics pipelines. Features: - Real-time RGBD streaming over WiFi or USB - LiDAR depth maps with confidence data - Full camera intrinsics and 6-DoF pose (ARKit) - IMU data (accelerometer + gyroscope) - Live depth visualization on device - Low-latency binary protocol with per-connection backpressure - Python SDK for easy integration - ROS2 Jazzy driver with RViz2 visualization - Camera-to-robot calibration tools Perfect for robotics researchers, 3D scanning enthusiasts, AR/VR developers, and anyone who needs affordable real-time depth sensing. Requires an iPhone or iPad with LiDAR sensor (iPhone 12 Pro or later, iPad Pro 2020 or later).