Preventing Extreme Attempts on Han River Bridges... Establishing a 'CCTV Integrated Control Center'

AI Deep Learning-Based CCTV Integrated Control
Unified from Individual Control by 4 Water Rescue Teams to Integrated Control for Rapid and Systematic Rescue Operations

[Asia Economy Reporter Lim Cheol-young] The Seoul Fire and Disaster Headquarters is unifying the Han River bridge CCTV monitoring system, which was scattered across four water rescue teams, into an ‘integrated control system’ and improving the dispatch system.

Along with the launch of the integrated control system, the CCTV monitoring system will also be advanced based on artificial intelligence (AI) deep learning. It is expected to enable faster detection of dangerous situations such as extreme attempts and prompt initial response.

On the 2nd, the Seoul Fire and Disaster Headquarters announced that it has completed the establishment of the ‘Han River Bridge CCTV Integrated Control Center,’ which will serve as a control tower to monitor dangerous situations on Han River bridges throughout Seoul at a glance, inside the Ttukseom Water Rescue Team, and has started its operation.

The center is operated by professional monitoring personnel who monitor Han River bridge CCTV footage 24 hours a day, and when a dangerous situation is confirmed, it is transmitted to the nearest water rescue team so that on-site personnel can be dispatched. Previously, the four water rescue teams (Yeouido, Banpo, Ttukseom, Gwangnaru) each monitored and dispatched independently, and on-site personnel were also responsible for CCTV monitoring.

The newly introduced AI deep learning-based CCTV monitoring system applies big data analysis techniques where AI learns Han River bridge CCTV footage through deep learning to detect behavioral patterns of individuals attempting to jump. For example, if abnormal behavior such as wandering on the bridge for a long time is detected, the CCTV footage of that location is selected and displayed on the monitor of the control personnel, enabling faster response when an emergency occurs.

At the dispatch stage, on-site personnel are provided with terminals capable of video transmission to share related information such as accident location and CCTV footage in real time. Whereas previously location was confirmed through communication by radio, now accurate accident location identification is possible through GIS (Geographic Information System). New flashing warning lights with blinking functions will be installed on Han River bridges and activated in case of an accident to help rescue teams dispatched at night accurately identify the accident location.

Once the AI deep learning-based monitoring system is operational at the center, it will be possible to quickly detect abnormal signs and identify jump attempts at an earlier stage, and water rescue team members will be relieved from the burden of CCTV monitoring duties, allowing them to focus more on rescue activities.

The Seoul Fire and Disaster Headquarters plans to pilot operate the integrated control center until May next year while improving the system. As big data accumulates, the accuracy of AI deep learning-based monitoring is also expected to increase.

Choi Tae-young, head of the Seoul Fire and Disaster Headquarters, said, “By starting integrated control of Han River bridges using advanced information and communication technology, we expect to respond quickly from the stage of jump attempts and enable faster life-saving rescues,” adding, “We will also actively utilize this for water accidents around the Han River area to ensure citizen safety.”

This content was produced with the assistance of AI translation services.