# The Problem We are Solving

OpenVision is addressing the critical challenge within the humanoid robotics industry of acquiring high-quality, diverse, and secure egocentric video training data. The market of robotics training data becomes particularly important with recent surge in demand and market interest for multimodal data

1. **Proof-of-concept and market interests for humanoid robots**: recent collaboration between OpenAI and Figure, Tesla Optimus robot release, Nvidia Project GR00T general-purpose foundation model for humanoid robots, and wide use cases in healthcare and medical, companion, household, manufacturing. Many recent startups such as Physical Intelligence (spin-off from Google Robotics), k-Scale (open-source robotics team from Optimus) is an emerging category that need mass data collection. 
2. **Inception of AI and AGI era**: USD 200 billion market expected to grow to over USD 1.8 trillion by 2030; entering pixel-centric AI development, e.g., launch of Sora, emerging VLM 
3. **Increasing market adoption of AR glasses**: community hype around Apple VisionPro (\~200,000 headsets sold in 10 Days), New Meta Smart Glasses; Meta’s SceneScript model to enable AI-powered AR glass

At its core, OpenVision is a two-sided platform fostering seamless creation and exchange of high-quality egocentric video training data between Data Providers with AI and Robotics companies/ institutions, through a collective data ownership governed by $VISION tokens. Three parties involved are: 

1. **AI and Robotics companies/institutions** who are seeking real-life, diverse, and on-demand video-based data for training their models. Ego-centric datasets labelled with actions and skill sets from the human perspective are especially valuable. 
   * Examples: Cowarobot, Figure AI, Boston Dynamics, Optimus (Tesla)
2. **Data Providers** who can pool in real-life data using our proprietary AR hardware.  (Later on we will allow users to use their own hardware/wearables and mobile phones to capture data. )
3. **Data Validators** who assess and mediate and safeguard the integrity of data submitted by reviewing and approving quality submissions. 
   * Examples: AI robotics company, independent AI researchers and enthusiasts