Record3DStream vs EmbodiData

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).

EmbodiData is an iPhone-based embodied AI data capture tool. It allows users to record first-person video, device motion signals, and structured session metadata during user-started capture sessions. The app is designed for embodied AI research, robotics data collection, and multimodal dataset preparation. Captured data can be reviewed locally and exported by the user for downstream analysis and model development. EmbodiData only records during user-initiated sessions and provides clear controls for starting, stopping, reviewing, and exporting captured data.