Get help with ARVOS. Find answers, troubleshoot issues, and connect with our community.
New to ARVOS? Start here for setup guides and tutorials.
Fix common issues with connection, streaming, and performance.
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Choose one of these options:
git clone https://github.com/jaskirat1616/arvos-sdkcd arvos-sdk/web-viewer./start-viewer.shhttp://localhost:3000)pip install arvos-sdkpython examples/01_quickstart.py192.168.1.100) or scan the QR code.ws:// (not wss://) for local connections.ARVOS requires iPhone 12 Pro or newer (for LiDAR) running iOS 16.0+. For gRPC protocol, iOS 18.0+ is required. Apple Watch Series 6 or newer with watchOS 9.0+ is optional for wearable sensor data.
Yes! ARVOS supports local recording in MCAP format with H.264 video encoding. You can export recorded data to KITTI, TUM, EuRoC, PLY, or CSV formats using the built-in export tools or CLI utilities.
Yes! ARVOS includes a ROS 2 bridge that publishes standard ROS messages to topics like /arvos/imu, /arvos/camera/image_raw, /arvos/depth/points, and /arvos/tf. You can visualize everything in RViz2.
No! ARVOS uses a local-first architecture. All sensor data streams directly to your computer over your local Wi-Fi network or Bluetooth. No data is sent to cloud servers or external services. See our Privacy Policy for more details.
Yes! ARVOS works completely offline. Use Bluetooth LE protocol or set up a local Wi-Fi network without internet access. The app doesn't require internet connectivity for core functionality.
ARVOS provides research-grade data with nanosecond timestamps. Camera: 30 FPS @ 1920x1080. LiDAR: 5 FPS with confidence maps. IMU: 100-200 Hz. ARKit pose: 30-60 Hz with quality flags. All sensors are synchronized for precise data fusion.
ARVOS supports 7 protocols: WebSocket (default), gRPC (iOS 18+), MQTT, HTTP/REST, Bluetooth LE, MCAP Stream, and QUIC/HTTP3 (coming soon). Each protocol has different strengths for different use cases. See our documentation for protocol selection guides.
Yes! ARVOS supports export to KITTI (autonomous driving), TUM (SLAM), EuRoC (MAV), PLY (point clouds), CSV (sensor data), and ROS bags. Use the built-in export tools or CLI utilities for batch conversion.
Browse source code, report issues, and contribute to ARVOS development.
Complete documentation for Python SDK, web viewer, and CLI tools.
Learn how ARVOS protects your privacy and handles your data.
Found a bug? Have a feature request? Open an issue on GitHub.
Still need help? Our support team is here to assist you. Choose the best way to reach us: