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Huawei’s Smart Traffic Video Surveillance Solution helps build a safe, modern, and eco-friendly transportation management system that covers airport security and railway security.
Intelligent technologies facilitate public transportation services by reducing traffic jams and making navigation easier. These technologies also provide full-coverage, real-time surveillance to deliver pre-warnings and enable in-progress incident control in highway, airport, and railway scenarios regardless of weather conditions.
The Smart Traffic Video Surveillance Solution leverages Huawei’s mission-critical, AI-powered cloud platform to ensure intelligent, safe, and fluid movement for transport through a full-stack intelligent security system that can be continuously evolved.
Transform from individual algorithms to converged algorithms, and from constraint scenarios to non-constraint scenarios, to provide full services in all scenarios and achieve 360-degree awareness.
Implement network-wide task collaboration through global resource sharing between PUs, edges, and command center.
Realize cross-region and cross-organization data collaboration, aggregate data on demand, and enable mixed storage of multi-dimensional data from private transportation networks to the Internet.
Huawei’s Smart Traffic Terminal solution integrates the industry’s first scene-adaptive Software-Defined Camera (SDC) and high-density computing platform that features industry-leading vehicle recognition and incident detection algorithms. This solution enables secondary recognition and intelligent preliminary review of traffic violations, reducing manual workload and helping improve the efficiency and accuracy of traffic citations.
Huawei’s Smart Traffic Terminal solution integrates the industry’s first scene-adaptive Software-Defined Camera (SDC) and high-density computing platform that features industry-leading vehicle recognition and incident detection algorithms. This solution enables secondary recognition and intelligent preliminary review of traffic violations, reducing manual workload and helping improve the efficiency and accuracy of traffic citations.
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