Awign MetaVision

MetaVision is a powerful companion for documenting real-world workflows with precision. Designed for hands-free, first-person recording, the app lets you capture high-quality video, audio, and sensor data directly from your device. Whether you are training teams, reviewing processes, or conducting on-site assessments, MetaVision provides a seamless and reliable recording experience. With support for head-mounted and handheld use, the app automatically optimizes capture quality while keeping controls simple and accessible. Recordings can be stored directly on your device or saved to an external USB drive for extended sessions. MetaVision is ideal for environments where accuracy, clarity, and efficiency matter. From training and quality inspections to operational documentation and compliance checks, the app helps you preserve every detail from the exact point of view of the worker. Key Features • First-person video capture optimized for hands-free recording • High-resolution video and clear audio • Sensor-based spatial and motion data capture • Direct recording to external USB storage • Simple and intuitive start and stop controls • Stable performance for long or intensive recording sessions Perfect For • Training and onboarding • Operational workflow documentation • Quality assurance and inspections • Troubleshooting and technical demonstrations • Safety and compliance audits MetaVision brings accuracy and efficiency together to help teams capture, review, and improve processes with real-world clarity. This app will help to conduct high-quality, first-person video recording audits. The recordings collected through the app can be used for computer vision model training and data collection purposes as well as recording high quality raw video data with AR capabilities. The output contains - camera to imu intrinsics, motion data, hand tracking data with overlay, different recording formats(stereo, with lidar, prores, etc.). The app works as a one stop solution for all raw data needed for computer vision models to process.