We provided digital consulting for an automatic incident detection system to validate our client’s concept. Within three months, we delivered an IoT system that gathers traffic data, generates reports, and presents different types of alerts.
A real-time IoT monitoring system
Our real-time traffic monitoring IoT system utilizes camera sensors, video footage, and AI technology to identify incidents.
Data management and analysis
The IoT system features a custom data management system that aggregates data collected from cameras and conducts analysis. Additionally, it offers a user-friendly dashboard for operators, displaying detailed reports. The data is presented in an easy-to-understand form, allowing quick decision-making. The system can provide information on average vehicle speeds during specific days or hours on a motorway, the number of vehicles passing through in a given timeframe, and the typical wait times in traffic jams, among other insights.
Automatic incident detection
The dashboard displays various types of alerts (such as pedestrians near or on a motorway, obstacles on the motorway, broken-down vehicles, traffic jams, etc.) as well as real-time metrics (including average journey time and average speed) on a map. It records vehicle registration plates, driving speeds, pedestrian activity, and more. These features enable operators to respond effectively to road traffic incidents.
Implemented in Dublin Port Tunnel
The system underwent testing in the Dublin Port Tunnel, one of Europe’s largest and busiest urban tunnels of its kind. With a daily traffic flow of approximately 26,700 vehicles, our developed system can monitor vehicles traveling through the tunnel and their speeds, analyzing this data to generate comprehensive reports.