AI Data Collection

Egocentric Video Data Collection

Real-World Video Data for Smarter AI

First-PersonRoboticsVideo Understanding
First-person POV video — hands interacting with objects during a task
Overview

First-person video data for next-generation AI — real-world activities, interactions and task workflows captured from the human point of view.

Real-world video datasets designed for Computer Vision, Video Understanding, Robotics, and AI systems. First-person (egocentric) video datasets for training, fine-tuning, and evaluating next-generation AI systems.

Capture real-world human activities, interactions, object manipulation, and task workflows from a first-person perspective using structured, scalable data collection programs.

Using head-mounted cameras, smart glasses and wearable rigs, our contributors record how people actually see and do things — in kitchens, workshops, warehouses, stores and streets — giving robots and AI assistants the human perspective they need to understand and act in the physical world.

Capabilities

How We Capture

Wearable Capture Rigs

Head-mounted cameras, smart glasses and chest mounts configured to your resolution, frame-rate and field-of-view requirements.

Scripted Task Programs

Step-by-step task protocols — cooking, assembly, repair, packing — so every recording covers the actions your model must learn.

Natural Activity Capture

Unscripted daily-life recordings that capture genuine behaviour, variation and the long tail of real-world situations.

Annotation-Ready Delivery

Optional step segmentation, action labels and object tags delivered alongside raw footage and metadata.

Scope

Coverage

Activities We Capture

  • Cooking & household tasks
  • Assembly, repair & DIY
  • Warehouse & industrial workflows
  • Retail & shopping journeys
  • Outdoor navigation & commuting
  • Hand–object interactions

Metadata & Labels

  • Activity & step segmentation
  • Action and object labels
  • Hand pose & interaction tags
  • Scene & environment metadata
  • Participant demographics (anonymised)
Use cases

Where it powers AI

Robotics & embodied AIVideo understanding modelsAR / smart-glasses assistantsAction recognition & anticipationWorld models & simulationHuman–robot interaction
Quality & security

Built to be trusted

  • Capture-spec checks (resolution, FPS, stability)
  • Task-completion and protocol review
  • Face & PII blurring where required
  • Informed consent from every participant
  • Secure, encrypted transfer
Delivery formats
MP4 / MOVJSON metadataCSV manifestsClient Tool

“Dhvani.ai delivers egocentric video datasets that teach AI how the world looks — and works — through human eyes.”

How it works

From brief to AI-ready delivery

01Step

Requirement Analysis

We capture your use case, data specification, languages, volumes, timelines and compliance needs.

02Step

Solution Design & Pilot

We design the workflow, write guidelines and deliver a pilot batch for your sign-off.

03Step

Production

Dedicated teams scale delivery with daily progress tracking and a single point of contact.

04Step

Quality Assurance

Multi-layer QA, sampling and reporting against agreed metrics on every delivery.

05Step

Delivery & Support

Secure delivery in your format, plus revisions, iterations and long-term support.

Service FAQ

Egocentric Video Data Collection — FAQs

Quick answers to common questions about this service.

Still have questions?

Talk to our team directly — we usually reply within a few hours.

Egocentric video is recorded from a first-person point of view, usually with a head-mounted camera or smart glasses. It shows what a person sees while performing tasks — ideal for robotics, AR assistants and video understanding.

Start a Project

Ready to start your egocentric video data collection project?

Share your languages, volumes and timelines — we’ll respond with a scoped plan within one business day.