Human Movement
Record walking, reaching, bending, lifting, carrying, and other natural body movements.
Exocentric Data Collection for Physical AI
See the full picture.
Train for the real world.
Sourcebae captures third-person video of people performing real tasks across homes, factories, warehouses, workshops, and commercial environments.
Using external cameras, we record human movement, object interactions, and complete workflows to build training data for robotics, embodied AI, and world models.
Real-world actions. A wider perspective.
Robots need to understand more than what a person sees.
They need to understand how people move through spaces, interact with objects, use tools, and complete tasks within their surroundings.
Exocentric data captures these activities from an external point of view, providing a wider view of the person, workspace, and environment.
- People
- Objects
- Movement
- Space
- Actions
What is Exocentric Data Collection?
Exocentric data collection records human activities using cameras positioned outside the person performing the task.
Unlike egocentric video, which captures the first-person perspective, exocentric video shows the person and their surrounding environment from a third-person view.
This makes it useful for understanding body movement, spatial relationships, object interactions, and how tasks unfold over time.
Sourcebae designs custom exocentric collection programs based on your model's tasks, environments, camera requirements, and data specifications.
Capture real tasks from the outside
Object Interactions
Capture how people pick, place, move, use, and interact with objects in real environments.
Complete Workflows
Record multi-step tasks from beginning to end, including task order, transitions, and outcomes.
Spatial Context
Understand how people move around furniture, equipment, tools, and other objects within a workspace.
Success & Recovery
When required, capture failures, fixes, recoveries, and successful demonstrations.
One network. Multiple real-world environments.
We collect exocentric data across different industries and everyday environments.
Household
Cooking, cleaning, organizing, folding clothes, appliance use, and everyday movement.
Warehouses & Logistics
Picking, placing, sorting, packing, loading, and movement through workspaces.
Retail & Commercial
Shelf stocking, inventory handling, commercial kitchens, housekeeping, and store operations.
Manufacturing
Assembly, inspection, machine operation, packaging, and material handling.
Workshops & Automotive
Mechanical repair, equipment servicing, tool use, and vehicle maintenance.
Agriculture & Outdoor
Harvesting, sorting, grading, tool use, and outdoor work activities.
Capture setup built around your model
Every project has different requirements for camera placement, coverage, and data quality. Sourcebae can support custom setups using:
- Fixed external cameras
- Tripod-mounted cameras
- Multiple synchronized camera views
- Wide-angle video capture
- RGB / RGB-D cameras
- Optional audio and sensor signals
Camera positioning, resolution, frame rate, and synchronization requirements are defined during project scoping.
When to Use Exocentric
Data Collection
Use exocentric data when your model needs to understand more than what the person performing the task can see.
Whole-Body Motion
Capture walking, reaching, bending, lifting, posture and coordinated movement from a stable external viewpoint.
Spatial & Workspace Context
Understand where people, tools, equipment and objects are located and how they move through a shared environment.
Multi-Person & Human-Robot Interaction
Record interactions between people, robots, tools, machinery and moving objects within the same scene.
Task Outcomes & Recovery
Observe successful actions, failed attempts, corrections and final outcomes from an independent viewpoint.
More than third-
person video
Your dataset can be configured to include the information your training pipeline needs.
Video Recordings
External-view footage of people performing real tasks.
Multi-View Capture
Synchronized recordings from multiple angles where required.
Action & Task Labels
Task steps, action segments, object interactions, and task outcomes.
Human Motion Data
Movement, pose, or trajectory annotations per project needs.
Metadata
Task, environment, camera, contributor, and recording information.
Custom Delivery
Files, annotations, and datasets aligned with your specs.
Built for Physical AI and robotics
Human Motion Understanding
Learn how people move and perform physical activities.
Robot Imitation Learning
Use human demonstrations to support the learning of real-world tasks.
Manipulation & Object Interaction
Understand how people handle tools, materials, and objects.
World Models
Capture how actions change the state of objects and environments.
Spatial Reasoning
Learn relationships between people, objects, and surrounding spaces.
Robotics Evaluation
Evaluate models across different tasks, environments, and real-world conditions.
The right people. The right environment.
Not every task requires the same contributor.
Sourcebae can source people based on the skills and experience needed for your collection.
From household contributors to factory workers, technicians, and specialized professionals, we help capture tasks performed by people who understand the work.
Real skills create more meaningful demonstrations.
From your requirements to
training-ready data.
- 01 - DEFINE
We understand your target tasks, environments, camera setup, and quality requirements.
- 02 - SOURCE & SET UP
We arrange contributors, locations, equipment, and recording protocols.
- 03 - PILOT
A small collection validates camera placement, task instructions, and output quality.
- 04 - CAPTURE
Contributors perform real tasks while external cameras record each setup.
- 05 - QA & ANNOTATE
Recordings are checked for visibility, task completion, and quality standards.
- 06 - DELIVER
Approved data is organized and delivered in the agreed format.
Exocentric vs Egocentric
Data Collection
| Feature | Exocentric | Egocentric |
|---|---|---|
| Perspective | Third-person / external | First-person |
| Camera | Fixed or external | Worn by participant |
| Best visibility | Body, environment, spatial context | Hands, tools and close interactions |
| Multi-person activity | Strong | Limited |
| Workspace geometry | Strong | Partial |
| Human intent / POV | Indirect | Strong |
| Typical robotics use | Motion, spatial reasoning, task evaluation | Manipulation and imitation learning |
For some Physical AI programs, synchronized egocentric and exocentric capture provides both the actor's first-person view and the wider scene context around the task.
Quality starts before
recording
Good exocentric data requires more than a camera pointed at a task. Sourcebae builds quality checks into the collection process.
Capture Quality
Camera position- Lighting
- Task completion
- Occlusion
- Recording continuity
- Multi-view coverage
Dataset Quality
- Metadata validation
- Annotation checks
- File integrity
- Synchronization checks
- Recapture when required
Privacy & Governance
- Participant consent
- Site authorization
- Privacy boundaries
- Sensitive-information handling
- Face/identifier redaction when required
- Secure dataset delivery
Why Sourcebae?
Real-World Access
Collect across household, commercial, industrial, and specialized environments.
Skilled Contributors
Match participants to the tasks your model needs to learn.
Flexible Camera Setups
Configure external cameras, multiple views, and additional sensors around your requirements.
End-to-End Execution
Contributor sourcing, setup, capture, QA, annotation, and delivery managed through one workflow.
Pilot Before Scale
Validate the data first, refine the protocol, and then expand production.
Frequently asked questions
Exocentric data collection captures activities from an external or third-person camera perspective. It records people, objects, movement, and the surrounding environment during real-world tasks.
Build a wider view of the physical world
Tell us what your model needs to learn. We'll help define the people, environments, camera setup, and quality workflow needed to capture it.
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