ROBOTICS DATASET GENERATION

Physical AI
Dataset Generation

Revolutionary platform for robotics dataset generation through 3D environment reconstruction and motion capture for humanoid robots and physical AI systems

01 — THE CHALLENGE

Physical AI Training
Needs Real-World Data

Humanoid robots and physical AI systems require massive amounts of high-quality robotics datasets. Traditional data collection is expensive, time-consuming, and limited in scope.

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Robotics Datasets

Generate diverse robotics training datasets for humanoid robots without physical setup

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Physical AI Training

Sub-centimeter accuracy datasets for physical AI systems and embodied intelligence

Rapid Dataset Generation

Process 50 minutes of video into complete robotics datasets in 4-7 hours

02 — THE SOLUTION

From Videos to
Robotics Datasets

Ewigen transforms multi-angle video recordings into photorealistic 3D environments with accurate human motion capture, generating high-quality robotics datasets for physical AI training.

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Multi-Angle
Videos
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Video
Processing
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Camera
Calibration
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3D
Reconstruction
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Human
Detection
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Avatar
Generation
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Dataset
Export
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Robotics
Datasets
03 — THE TECHNOLOGY

Powered by
Cutting-Edge AI

Built on state-of-the-art computer vision and deep learning technologies for robotics dataset generation with maximum accuracy and performance.

PyTorch
NeRF
Gaussian Splatting
COLMAP
YOLOv8
MediaPipe
SMPL-X
FastAPI
PostgreSQL
Redis
Docker
Unity
04 — THE PERFORMANCE

Built for Scale

60+
FPS Rendering
4-7
Hours Processing
10-25
GB per Dataset
100%
Automated
05 — THE ARCHITECTURE

Enterprise-Grade
Infrastructure

Scalable, distributed architecture designed for high-throughput robotics dataset generation and physical AI training data production.

API Layer
FastAPI backend with RESTful endpoints for video upload, processing management, and dataset export
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Storage
PostgreSQL for metadata, Redis for caching, MinIO for object storage with S3 compatibility
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Processing
Celery workers with GPU acceleration for parallel video processing and 3D reconstruction
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ML Pipeline
Multi-stage pipeline: video processing → 3D reconstruction → human analysis → dataset export
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Output Formats
Export to USD, ROS, URDF formats for seamless integration with robotics simulators
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Cloud Ready
Docker containerized, Kubernetes orchestrated, AWS/GCP compatible deployment
06 — GET STARTED

Ready to Build
the Future?

Join the revolution in robotics dataset generation and physical AI training data production.