What is Currux Vision?
Currux Vision, Autonomous AI systems for smart infrastructure.
The platform processes video from existing CCTV, traffic controllers, and sensor networks at the edge or in the cloud to enable real‑time traffic monitoring, enforcement, and safety.
It automates object detection, classification, tracking and lane detection, and can autonomously control PTZ cameras for area scans and data collection.
The system supports edge, hybrid, and cloud architectures, allowing rapid deployment without costly network upgrades.
Cities, departments of transportation, government agencies, and infrastructure developers use Currux Vision to measure and optimize infrastructure performance, dispatch enforcement resources where needed, and increase system efficiency.
Currux Vision user reviews
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Currux Vision's key features
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Autonomous traffic detection enforcement
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Edge and cloud processing architecture
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Autonomous PTZ camera control
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AI object detection tracking
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Distributed edge servers NVIDIA GPUs
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Intuitive user interface
Currux Vision use cases
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Real-time traffic congestion monitoring and automated incident alerting using edge deployment, providing actionable metadata to traffic controllers without manual video review.
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Autonomous PTZ camera guidance for parking lot security, detecting vehicle violations and automatically following suspicious vehicles for live evidence collection.
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Smart lane violation enforcement system that classifies and tracks vehicles across multiple cameras, triggering automatic ticketing and reporting in a hybrid cloud setup.
Who is it for?
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Smart city developers
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Transportation engineers
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Traffic management authorities
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City planners
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Infrastructure analysts
