Hwaseong City Launches AI-Based Integrated Disaster Intelligent Control Platform Construction
Integration of Public Data, CCTV, and Existing VMS
Establishing a Unified Response System from Disaster Prediction to Information Dissemination
Hwaseong Special City in Gyeonggi Province announced on May 7 that it has launched the "Integrated Disaster Intelligent Control Platform Construction Project," which combines public data with artificial intelligence (AI).
This project aims to further advance Hwaseong Special City's disaster response system. The core of the initiative is to provide integrated support for disaster prediction, situation awareness, video verification, and information dissemination by linking public data, CCTV, and the existing Video Management System (VMS).
In particular, the city plans to maximize efficiency by minimizing hardware expansion and focusing on software and AI-based data analysis. By combining vast amounts of public data with minimal hardware and concentrating on the advancement of AI algorithms, Hwaseong Special City seeks to differentiate this initiative from existing hardware-centric disaster response projects.
The project will be led by Hwaseong Special City, with participation from ESTEC ENG and Geomaxsoft. ESTEC ENG is responsible for developing the AI prediction engine based on its proprietary disaster-related technology, while Geomaxsoft will handle the construction of the intelligent control platform and its integration with the VMS. Hwaseong Special City will oversee the overall project, provide support for demonstration and testing, facilitate administrative cooperation, and supply the testbed.
Through this project, the city plans to strengthen its on-site response system in collaboration with relevant departments, including the Disaster Response Division, Road Division, and Environmental Mapping Division.
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Park Seunghyun, Director of the AI Smart Strategy Office, stated, "This project will serve as an important opportunity to make Hwaseong Special City's disaster response system more sophisticated and responsive using public data and AI. By actively utilizing existing infrastructure, we will implement an intelligent control system that operates effectively in the field, further enhancing citizen safety."
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