Currux Vision

Currux Vision — Autonomous AI Systems for Smart Infrastructure

Currux Vision provides AI-enabled solutions for Intelligent Transportation Systems (ITS) and smart infrastructure. The platform enables cities, departments of transportation, government agencies, and infrastructure developers to monitor, optimize, and monetize complex infrastructure projects by deploying autonomous AI systems that operate at the edge, near the edge, or in the cloud. It leverages existing CCTV, traffic controllers, and sensor infrastructure to deliver real-time insight, enforcement capabilities, and operational efficiency.

What it does

• Delivers AI-driven traffic monitoring, safety analytics, and enforcement capabilities using a scalable edge-to-cloud architecture.
• Supports autonomous object detection, classification, tracking, and advanced prediction to optimize operations and respond to incidents.
• Provides autonomous camera control (PTZ) and automated data collection, with potential for automated alerts, signage, and enforcement actions where permitted.
• Enables monetization and optimization of infrastructure by turning data into actionable insights and services.
• Works with existing hardware, minimizing the need for expensive network upgrades while offering flexible deployment models.

How it works

• Deploys AI processors and software on edge devices (e.g., in traffic cabinets) or local servers for near-edge processing.
• Transmits metadata and insights to a central server or cloud account for monitoring, analysis, and governance.
• Supports cloud processing for scalable analytics and long-term data storage, while keeping critical processing near where the data is generated.
• Provides an intuitive user interface for operators to monitor, dispatch enforcement resources, or trigger automated actions as configured.

Deployment options

• Edge / Near Edge: AI Servers deployed inside local networks and connected to existing IP cameras and sensors.
• Hybrid edge / cloud: Combines edge processing with central cloud processing for scalable analytics.
• Cloud processing: Video streams are processed in the Currux Vision cloud and metadata is accessible to customers remotely.

Safety and governance

• Aims to improve safety and efficiency while enabling responsible use of surveillance data and automated enforcement where legally permissible.
• Designed to integrate with existing infrastructure and compliance requirements.

Target users

• City planners, transportation agencies, DoTs, and infrastructure developers seeking autonomous monitoring, enforcement, and optimization capabilities.

Core capabilities

• Edge and cloud architecture for flexible deployment
• Autonomous object detection, classification, and tracking
• Real-time monitoring and alerting for safety and traffic management
• Automated PTZ camera control and data collection
• Automated enforcement actions where permitted
• Hybrid edge/cloud processing to balance latency and scalability
• Proven compatibility with existing CCTV, traffic controllers, and sensors
• Scalable, portable compute for challenging field conditions
• Monetization and optimization of infrastructure through AI-driven insights