What Is OpenVision?
OpenVision is a decentralised 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 decentralise 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.
The Problem
Access Gated by Big Tech
Vision AI models are often siloed in corporate labs (e.g., Tesla, OpenAI, Google), making them inaccessible to developers, researchers, and startups.
Compute and Data Are Centralised
Collecting quality vision data and GPU compute is cost-prohibitive for most companies.
Lack of Real-Time Coordination
Current blockchains and centralised clouds can’t coordinate high-frequency vision tasks at scale.
Opaque Model Decisions
High-profile failures in centralised systems (e.g., Tesla's autopilot vision misclassifications) reveal the dangers of closed black-box models.
Regulatory Headwinds
Governments are exerting pressure on centralised AI deployments, including the EU AI Act and proposals related to surveillance ethics. OpenVision solves these with decentralised infrastructure, open training protocols, and a sovereign blockchain built for real-time AI execution.
Parallax
Parallax is a high-performance VLM (Vision Language Model) that evolves through crowdsourced training and decentralized fine-tuning. Inspired by a hybrid of Vision Transformers (ViT), CLIP, and SAM-like attention mechanisms, Parallax is optimized for real-time spatial reasoning and contextual understanding.
The model roadmap includes multimodal capabilities, incorporating image, text, and geospatial metadata to support next-generation agents and robotics.
Core Applications
Autonomous Vehicles
Lane detection, object recognition, behavior prediction
Robotic
Depth estimation, pose tracking, environment mapping
Surveillance & Smart Cities
Anomaly detection, crowd analytics, access control
AR/VR & IoT
Real-time image parsing, spatial reasoning, edge vision
Parallax is modular, updatable, and trainable across verticals using contributed real-world data.
The Vision Is Clear
Modern AI vision systems, from autonomous vehicles to advanced robotics, are still controlled by a collective of centralised labs. Training these models requires expensive, siloed infrastructure and huge, curated datasets, which hampers innovation and raises alignment issues. Meanwhile, billions of GPUs and untapped video streams remain idle and ultimately go to waste across the world.
OpenVision Changes Everything
By combining MCP and Decentralised Physical Infrastructure Networks (DePINs), we have created a new infrastructure layer that enables anyone to participate in building and training visual intelligence models.
Cameras Become Data Nodes. Your Idle GPUs Become Compute Workers.
The result: an open network where machine perception evolves through collective coordination.
Take A Front Row Seat Within AI & Edge Compute
VisionSync is powered by the Modular Compute Protocol (MCP), it coordinates training jobs across thousands of distributed cameras and GPUs, enabling the creation of powerful Vision Language Models (VLMs) like Parallax.
OpenVision turns homes, vehicles, and devices into intelligent data nodes by creating a censorship-resistant and globally scalable visual intelligence network.
Connect Your GPUs and Earn $VISION
Users will be able to connect GPUs and begin training Parallax directly from their machines on launch of VisionNode desktop plugin (desktop nodes will power VisionSync, and provide inference for Parallax).
The Parallax VLM
Parallax is an innovative, large-scale VLM trained across a global network of decentralized cameras and GPUs.
Join The Mission To Democratize Machine Perception.
We imagine a near-future where diverse teams across the world test visual perception concepts in parallel, share their results transparently, and rapidly build off one another’s progress.
OpenVision can scale this networked intelligence — enabling truly global collaboration in vision AI.
Competitive Difference
OpenVision sets itself apart from other decentralized AI projects through its full-stack design;
training, coordination, validation, and model ownership all happen on-chain.
Here’s how it compares:
Why OpenVision:
- Full-stack decentralised infrastructure
- Real-world deployments across autonomous systems
- Native tokenomics are aligned with value accrual
- zkML readiness and enterprise-grade compliance