> For the complete documentation index, see [llms.txt](https://openvision-2.gitbook.io/whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://openvision-2.gitbook.io/whitepaper/executive-summary.md).

# Executive Summary

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**Mission:** OpenVision democratizes machine perception like Bitcoin democratized money.

**Market Opportunity:** The global computer vision market is expected to reach $54 billion by 2030, driven by demand in robotics, surveillance, autonomous systems, and smart infrastructure.

**OpenVision** is a decentralized AI infrastructure protocol for building, training, and deploying Vision Language Models (VLMs) across a permissionless, community-powered network. Combining distributed computing, real-world data capture, and a high-frequency modular custom L1 blockchain, OpenVision aims to decentralize visual intelligence and unlock real-time AI applications for robotics, autonomous vehicles, IoT, and edge agents.

At the heart of OpenVision is our flagship model, Parallax. Parallax is a continuously evolving vision model trained on globally sourced video streams and fine-tuned across decentralized compute nodes. Contributors earn $VISION for providing GPU power, streaming data, validating results, and improving the model.

OpenVision is built on:

* **Ethereum** for transparent logging, DAO governance, and token coordination
* **VisionX L1 (Private Blockchain)** for fast, vision-specific smart contract execution
  \
  and high AI real-time coordination
* **MCP (Modular Compute Protocol)** for breaking down and distributing AI training
  \
  workloads