Powering Physical AI with Real-World Ego Datasets

FPV Head-Mounted Egocentric Camera | Video Data Collection Camera

$1,100.00

Version: Full Hat

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VDEgo-C2 Product Description

VDEgo-C2 is an industrial-grade, all-in-one wearable camera for embodied ai and high-fidelity video data collection device. Specially engineered for egocentric (first-person) vision datasets, VLA (Vision-Language-Action) models, and world model training, it seamlessly integrates binocular RGB cameras with a high-precision IMU. Weighing under 300g, this fpv head mounted camera offers a zero-burden, "wear-and-capture" experience with secure local storage and wireless multi-terminal control—making it the ultimate tool for AI researchers, robotics labs, and data collection vendors worldwide.
 

Key Features & Performance

True First-Person Perspective (Ego-Vision)

Designed to replicate the human field of view, the VDEgo-C2 captures authentic human-eye perspective data. It is the ideal head mounted camera for data collection involving complex hand-object interactions, tool usage, and spatial navigation.

Synchronized Binocular RGB + IMU Data

Equipped with dual RGB cameras and a high-precision Inertial Measurement Unit (IMU), the device ensures microsecond-level synchronization between visual feeds and motion data. This multimodal synchronization is crucial for reconstructing precise device trajectories and training robust physical AI models.

Ultra-Lightweight & Ergonomic Design

Weighing less than 300g, the VDEgo-C2 features an optimized, balanced headband design. It eliminates neck fatigue during extended sessions, enabling researchers and operators to perform all-day, real-world data collection in comfort.

Secure Local Storage & Offline Capture

To protect proprietary and sensitive training data, the VDEgo-C2 writes data in real-time to an onboard high-speed SD card with hardware-level encryption support. Built-in physical buttons and acoustic feedback (prompt tones) allow for instant, independent offline recording without requiring a continuous network connection.

Wireless Control & Real-Time Visualization

Our integrated video data collection system features dual-terminal Web UI access (PC and mobile). Users can wirelessly preview low-latency live feeds, remotely trigger start/stop recording, configure camera parameters, and monitor synchronous upload progress over local Wi-Fi.

Open APIs & Trajectory Reconstruction

VDEgo-C2 comes standard with a dedicated data parsing toolkit. It supports raw data decryption and offline SLAM/trajectory reconstruction. With fully open APIs and SDKs, developers have unrestricted access to raw sensor data for seamless secondary development.

Technical Specifications 

Parameter Specification
Camera Type Binocular RGB Camera (Stereo Vision)
Sensor Synchronization Hardware-level synchronization (RGB Video + IMU)
IMU High-precision 6-axis / 9-axis Inertial Measurement Unit
Weight < 300g (Ultra-lightweight ergonomic headband)
Storage Local High-Speed MicroSD Card (Supports hardware encryption)
Connectivity Dual-band Wi-Fi (for Web UI & wireless transfer), USB-C (for charging & data)
Control Interface Physical on-device buttons (with audio prompts) + Wireless Web UI
Compatibility Fully open APIs & SDKs; supports ROS/ROS2 and custom Python pipelines
Mounting System Versatile clamp structure compatible with textile-based headwear/caps

Primary Applications

  • EGO First-Person Multimodal Datasets: Capture synchronized video and motion data to build gold-standard datasets for human behavioral analysis.
  • VLA (Vision-Language-Action) Model Training: Provide high-quality bimanual manipulation ego video datasets to help robots learn imitation, manipulation, and action planning.
  • World Model Training: Utilize synchronized IMU trajectories and stereo video to reconstruct 3D scene geometry and dynamic environmental physics.
  • Academic & Robotic Research: An open-source friendly platform for computer vision departments, university labs, and AI research institutes.

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