MOVRS generates labeled 3D datasets from video input using advanced motion capture technology, enabling machines to accurately interpret human movement in real-world environments. This capability addresses the need for high-fidelity training data in AI models focused on understanding human interactions and dynamics.
Funding
$50K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
AI models that interpret human movement in real-world environments require high-fidelity training data, but generating accurately labeled 3D datasets of human motion is a complex and costly process. Existing methods often struggle to capture the nuances of human-environment interactions in diverse, real-world scenarios.
Solution
MOVRS provides labeled 3D datasets of human movement captured from video input, enabling AI models to accurately understand human actions and interactions. They leverage advanced motion capture technology to collect high-fidelity data in authentic, high-performance environments. Their proprietary AI-assisted labeling process efficiently annotates captured data, allowing for the training of AI models that can understand specific aspects of human motion. As their partner network expands, the 3D dataset automatically grows, ensuring a constant influx of new and diverse training data.
Target Audience
MOVRS primarily targets AI developers and researchers focused on training models for understanding human movement and interactions in real-world environments.
Features
- 3D datasets of human movement generated from video input
- Advanced motion capture technology for high-fidelity data collection
- AI-assisted annotation and model training for efficient labeling
- Data capture in authentic, high-performance environments
- Continuous data growth through an expanding partner network