Egocentric Data Collection Services for Physical AI & Robotics

Consent-based first-person (egocentric) video and synchronized sensor datasets for robotics, embodied and physical AI - collected via the HaiCrowd platform and app.

Egocentric and exocentric capture rig
First-Person
Head-Mounted Capture
Consent-First
In-App Informed Consent
Time-Synced
Video + Sensor Streams
Your Cloud
Secure Delivery

What Is Egocentric Data Collection?

Egocentric data collection captures data from a first-person point of view, using a camera or sensor worn by or attached to the person doing the task. The camera moves as the actor moves and records what they see - their own hands, the tools they hold and the objects they interact with. Typical capture setups include a head or chest mounted phone, wearable smart glasses, an AR headset, or a camera mounted on a robot.

The contrast is with exocentric (third-person) data, captured from a camera positioned outside the actor, such as a tripod or ceiling mount, which shows the whole body and the surrounding scene. Egocentric footage carries fine hand and object detail and intent; exocentric footage carries full-body pose and spatial context. The two are strongest when captured together and time-synced.

HaiData collects egocentric data through its own HaiCrowd platform and app. For a deeper primer, read our guide to egocentric vs exocentric datasets.

Egocentric vs exocentric view

Egocentric Data Collection Use Cases

Egocentric datasets underpin the models that have to act in the physical world, not just describe it.

Robotics & Imitation Learning

First-person human demonstrations are the closest proxy for what a robot's own sensors see, so a manipulation policy can learn from them.

Embodied AI & World Models

Physical AI and world models learn from first-person video paired with motion, so they understand how actions change the scene around an agent.

AR/VR Assistants

Assistants that guide a wearer through a task need first-person footage of the same task done correctly and incorrectly to understand context and gaze.

Action Anticipation

Predicting the next action from a first-person stream depends on egocentric data that captures intent and hand-object interaction as they unfold.

Activities of Daily Living

First-person recordings of everyday tasks support assistive technology, care and home robotics research grounded in real routines.

Skill Assessment

Comparing an expert and a novice performing the same task pairs naturally with egocentric and exocentric viewpoints for technique and posture.

Egocentric and exocentric data collection use cases

Egocentric Data We Collect

Configurable capture protocols and rich, automatically generated metadata across the egocentric data types physical AI needs.

First-Person & Head-Mounted Video

Wearable and head or chest mounted first-person video captured to your frame rate and resolution spec.

Hand-Object Interactions

Close-detail recordings of hands, tools and manipulated objects - the signal that first-person capture carries best.

Activities of Daily Living

First-person recordings of everyday routines and household tasks for assistive and home robotics use cases.

Task Demonstrations

Structured demonstrations of skilled tasks for imitation learning and manipulation policies.

Synchronized Ego + Exo Capture

Synchronized multi-camera capture of the same task from first-person and third-person viewpoints where your project needs both.

Sensor Streams

Phone motion sensors (accelerometer, gyroscope, magnetometer) and GPS logged and delivered as a time-synced sensor track where applicable.

How HaiData Collects Egocentric Data with HaiCrowd

Egocentric collection is an operations problem before it is a research one. The HaiCrowd platform - our own-built, own-cloud data collection platform - moves the hard parts into the tooling, so scaling from five contributors to hundreds does not scale your quality problems with it.

  • Native iOS & Android apps - contributors capture first-person video from a head or chest mounted phone.
  • Dashboard-configured capture - capture protocols are set on the project, so every contributor records to the same spec.
  • Synchronized multi-camera capture - egocentric and exocentric views of the same task where a project needs both.
  • In-app informed consent - consent is captured on the device and bound to each recording session.
  • Automatic metadata - file, device and media properties are generated automatically, keeping datasets queryable.
  • Multi-level + automated QC - live human review plus automated checks such as image similarity and duplicate detection.
  • In-app global payouts - contributors are paid through the app worldwide.
  • Secure own-cloud delivery - approved data lands in your own cloud storage and is removed from the device afterwards.
HaiCrowd egocentric and exocentric data collection workflow

For the practical detail of running a project, see how to collect ego/exo video with the HaiCrowd data collection app.

A Leading Egocentric Data Collection Company in India

HaiData is an egocentric data collection company in India, operated from India with global reach. We pair India's diverse, large-scale contributor base with a worldwide crowd through the HaiCrowd platform, so you can build egocentric datasets that are geographically and demographically representative rather than narrow.

Every recording is collected with in-app informed consent. Our practices are consent-first, GDPR-aligned and aligned with India's DPDP Act 2023, so each dataset carries clean provenance. Approved data is delivered securely to your own cloud storage in the geography you choose, and removed from contributor devices after upload.

The result is a route to consent-based, well-documented egocentric data at scale - built and run on tooling we own, not stitched together from off-the-shelf apps and spreadsheets. Explore our full AI data collection services and see why we are also a leading data collection company in India.

Why HaiData for Egocentric Data Collection

Ethics, quality, scale and control - built into the platform, not bolted on afterwards.

Consent-First

Every contributor gives informed consent in the HaiCrowd app before recording, so your egocentric dataset comes with clear provenance and consent records.

GDPR-Aligned & DPDP-Aligned

Our data-handling is GDPR-aligned and aligned with India's DPDP Act 2023, with delivery to your own cloud. ISO 27001 certification is in progress, expected 2026.

99% Accuracy Target

We target 99% accuracy through multi-level human review combined with automated QC, so only data that meets your quality bar is delivered.

Global Crowd + India Operations

A worldwide contributor crowd combined with India-based operations lets you source diverse egocentric data at scale.

NVIDIA Inception Member

HaiData is a member of the NVIDIA Inception Program, connecting our collection work to NVIDIA's AI ecosystem.

GoodFirms-Recognized

A GoodFirms-recognized company, delivering egocentric data collection from India to clients worldwide.

Industries we Serve

AI is industry agnostic. So do we!

Automotive
Automotive
Healthcare
Healthcare
Agri Tech
Agri Tech
Retail
Retail
Warehousing
Warehousing
And More...

Related Data Collection Services

Egocentric collection often runs alongside other modalities. Explore the HaiCrowd platform, our video data collection services, our multimodal data collection services, and our full AI data collection services.

Frequently Asked Questions

HaiData is an egocentric data collection company operated from India with global reach. We collect consent-based first-person video and synchronized sensor data through our own HaiCrowd platform and native iOS and Android apps, with multi-level and automated quality control and secure delivery to your own cloud. As an NVIDIA Inception member and a GoodFirms-recognized company, we help robotics and physical AI teams source egocentric data ethically, from India and worldwide.

Egocentric data collection captures data from a first-person point of view, using a camera or sensor worn by or attached to the person doing the task - for example a head or chest mounted phone, smart glasses, or a camera on a robot. The camera moves as the actor moves and records what they see, including their own hands, tools and the objects they interact with. It is the training data physical AI and robotics models need to learn what acting in the world looks like from the inside.

Egocentric (first-person) data is captured from a camera worn by or attached to the actor, so it moves with them and shows fine hand and object detail and intent. Exocentric (third-person) data is captured from a camera positioned outside the actor, such as a tripod or ceiling mount, and shows the whole body, the workspace and the surrounding scene. The simplest test is where the camera is: on the actor is ego, off the actor is exo. Captured together and time-synced, the two views let a model learn a viewpoint-invariant representation of the same action.

Egocentric capture is uniquely sensitive because the camera records the wearer's surroundings and the people around them, so consent is built into the workflow. Every contributor gives informed consent in the HaiCrowd app before recording, and the consent is captured and bound to each session. Our practices are consent-first, GDPR-aligned and aligned with India's DPDP Act 2023, and approved data is delivered to your own cloud storage. Our ISO 27001 certification is in progress, expected in 2026.

Yes. HaiCrowd logs the phone's motion sensors (accelerometer, gyroscope, magnetometer) and GPS during a recording and delivers them as a sensor track alongside the video. Because the video and the sensors come from the same phone on the same clock, they are time-synced by construction, with no extra hardware required. HaiCrowd can also capture synchronized multi-camera egocentric and exocentric video of the same task where a project needs both viewpoints.

You create a collection project on the HaiCrowd dashboard and configure the capture protocol there, so every contributor records to the same spec. Contributors capture first-person video through the native iOS and Android apps with in-app informed consent, and metadata is generated automatically. Every submission passes multi-level and automated QC before approved data is delivered to your own cloud storage. Contributors are paid through in-app global payouts.

Ready to Collect Egocentric Data for Physical AI?

Tell us your scenarios and target hours and we will scope a consent-based egocentric data collection project on the HaiCrowd platform. Write to us at info@haidata.ai to get started.

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