Currux Vision provides autonomous AI systems for intelligent transportation infrastructure. It enables cities, departments of transportation, and infrastructure developers to monitor, optimize, and monetize complex infrastructure projects using AI-powered video analytics. The platform works with existing CCTV and IP camera systems, processing video at the edge, near-edge, or in the cloud without requiring expensive hardware upgrades.
Key Features
- Automated object detection, classification, and tracking
- Autonomous PTZ camera control for area scans and data collection
- Distributed edge architecture with plug-and-play AI servers
- Works with most existing IP camera systems
- Portable NVIDIA-based supercomputers for field conditions
Use Cases
- Traffic violation detection and automated enforcement
- Infrastructure monetization through traffic data analytics
- Safety optimization by identifying dangerous driving behaviors
- Smart city applications for traffic monitoring and control
Who It’s For
- City and municipal traffic management agencies
- State departments of transportation
- Law enforcement agencies
- Infrastructure project developers
Key Benefits
- Works with existing IP camera infrastructure, avoiding costly upgrades
- Edge processing capability reduces reliance on cloud connectivity
- Autonomous PTZ camera control enables active monitoring and enforcement
- Supports monetization of infrastructure through traffic data analytics