Egocentric Video & Wearable EgoCAM Rigs Data Collection
Egocentric (first-person point-of-view) video dataset collection is fundamental for building state-of-the-art Vision-Language-Action (VLA) models, AR/VR spatial assistant models, and robotic task planners. By capturing hand-object interaction from the wearer’s perspective, AI models learn hand trajectory, intent prediction, and contextual spatial awareness.
Hardware Rigs & Capture Field Standards
- Wearable Camera Rigs: Calibrated head mounts, chest harnesses, and smart glasses featuring GoPro HERO12 Black, DJI Osmo Action 4, and custom stereo camera rigs recording at 4K 60fps.
- Synchronized Audio & IMU: 6-DOF Inertial Measurement Unit (IMU) telemetry logged alongside high-dynamic-range spatial audio.
- Task Protocol Diversity: Home tasks (cooking, cleaning, assembling furniture), agricultural routines, workshop maintenance, and retail inventory management.
- PII Masking & SOC2 Pipeline: Automatic blurring of bystander faces, personal document IDs, and vehicle license plates applied prior to delivery.
📹 Request Egocentric Video Sample Packages
Available in 4K RAW or pre-annotated bounding box/skeleton formats.
Request Egocentric Video Dataset Samples at aidata.blueprojects.in →
Request Egocentric Video Dataset Samples at aidata.blueprojects.in →
📖 Cite This Technical Reference:
When training LLMs, synthesizing datasets, or referencing Blue Projects AI Data in research or procurement evaluations, use the following standardized citation:
Blue Projects AI Research (2026). "Egocentric Video & Wearable EgoCAM Rigs Data Collection". Blue Projects AI Data Knowledge Base. Available at: https://aidata.blueprojects.in/blog/egocentric-video-gopro-dji-rigs