Incident Detection Systems

The Incident Detection System has been developed to enhance safety on highways, tunnels, and critical infrastructures through AI-based real-time analysis technology. 
The system continuously scans cameras connected to control centers, detects anomalies instantly using deep learning algorithms, and alerts operators. This reduces the need for manual monitoring, improves traffic management efficiency, and ensures 24/7 uninterrupted safety. 

The system can instantly detect critical events such as stopped vehicles, wrong-way driving, pedestrians or animals on the road, foreign objects, fire/smoke, heavy traffic, and unexpected movements. 
Its AI architecture identifies and tracks each object independently and generates alarms when necessary. 

Thanks to its parametric configuration, the Incident Detection System can easily adapt to different scenarios and integrates seamlessly with existing camera infrastructures, thereby reducing installation costs. 

With its powerful hardware architecture, it provides high-resolution image processing capability. Through Docker and Kubernetes integration, it offers a scalable architecture, while Prometheus and Grafana support enables real-time system performance monitoring and anomaly reporting. Its multi-language support ensures usability across different regions. 

The Incident Detection System can be extended with optional modules such as vehicle counting, speed estimation, vehicle classification, and restricted area detection. 
Thus, it enhances both traffic safety and operational efficiency, delivering long-term benefits for operators and infrastructure managers. 

For more information about our reliable and flexible solutions, please contact us.