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.