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Egocentric Video Data Collection

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EGOCENTRIC VIDEO DATA COLLECTION

Capture Real-World Human Perspective To Train Next-Generation AI

We collect high-quality first-person (POV) video datasets using wearable cameras, smart glasses, and head-mounted devices. Our end-to-end data collection pipeline helps AI companies, robotics teams, and research organizations build accurate, context-aware models for embodied AI, computer vision, and human activity recognition.

Why It Matters

Why Your AI Project Needs Egocentric Video Data

Our process

A clear path from idea to success.

(01) Plan

Define objectives, scenarios, and dataset requirements.

(02) Recruit

Select participants and prepare recording equipment.

(03) Capture

Collect first-person videos in real-world environments.

(04) Annotate

Label actions, objects, and events for AI training.

(05) Deliver

Verify quality and provide production-ready datasets.

Frequently asked question

Egocentric video data collection captures first-person videos using wearable cameras or smart devices. It enables AI models to learn from the same perspective humans experience while performing real-world activities.

Our datasets support robotics, embodied AI, manufacturing, logistics, healthcare, retail, agriculture, AR/VR, autonomous systems, computer vision, and academic research.

We support head-mounted cameras, chest-mounted cameras, smart glasses, wearable mobile rigs, and synchronized multi-camera recording systems based on project requirements.

Yes. Every dataset is tailored to your collection scenarios, participant demographics, environments, annotation requirements, metadata format, and AI training objectives.

Yes. We offer end-to-end annotation including object tracking, semantic segmentation, instance segmentation, action recognition, event tagging, temporal labeling, and quality validation.