Gyeonggi Province will establish an AI-based wide-area fire safety network for high-risk facilities such as industrial complexes, logistics centers, and traditional markets in the province by December 2027.


On July 8, Gyeonggi Province announced that it had been selected for the "2026 On-Device AI Service Demonstration and Expansion" project, organized by the Ministry of Science and ICT, securing a total budget of 9.8 billion won, including 5.9 billion won in national funding.


The core of the project is to build an on-device AI detection system that can immediately assess and respond to emergency situations at fire sites.


On-device AI is a technology where the AI installed on a device analyzes the collected data independently, without transmitting it to external cloud servers. This allows for independent operation even in vulnerable environments like fire scenes, and eliminates communication delays with AI servers, enabling rapid data analysis and timely response.


Gyeonggi Province plans to prioritize the application of on-device AI in the safety sector to demonstrate AI-based fire safety services and to establish a wide-area disaster safety model applicable to industrial sites.


The consortium is comprised of Gyeonggi Technopark, which serves as the project implementing institution, as well as Suwon City, Hwaseong City, Icheon City, and AI-specialized companies. Demonstration sites include Suwon Delta Plex, Hwaseong Hyangnam Pharmaceutical Complex and traditional market, and various industrial, fashion, and logistics complexes in Icheon.


The main objective of the project is to convert existing CCTV-based monitoring systems to AI-based systems that can detect fire indicators such as flames and smoke in real time, and to utilize graphene electronic nose sensors (Graphene Sensor) to analyze changes in gases and other chemicals. In addition, domestically developed AI semiconductors (NPUs) will be applied to analyze data directly on site, enabling faster and more accurate detection of fires and anomalies. Detected information will be transmitted to an integrated control platform, which will analyze risk levels, notify responsible personnel, and automatically generate reports to support rapid initial response.


'On-Device AI Service Demonstration Concept Diagram' in Gyeonggi Province

'On-Device AI Service Demonstration Concept Diagram' in Gyeonggi Province

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At the Suwon Resource Circulation Center, a physical AI field demonstration will also be conducted using AI-based firefighting robots. In the event of a fire, the robots will be deployed to the site to identify video and heat sources and carry out initial fire suppression, which is expected to reduce disaster response times.


AI-specialized companies such as Owlnest Co., Ltd., Braincheese Co., Ltd., eCminer Co., Ltd., Advant Co., Ltd., Best Digital Co., Ltd., Dain Information Technology Co., Ltd., Secuinpo Co., Ltd., and Mgen Solution Co., Ltd. will participate in the project, providing core technologies in hardware, software, and data analysis for each area.


Kim Kibyeong, Director of AI at Gyeonggi Province, stated, "We will quickly promote AI administrative innovation in areas where residents can directly experience its benefits," adding, "By applying AI technology to administrative sites, we will protect the lives and property of residents, secure tangible examples of AI effectiveness, and establish a foundation for the expansion of AI administrative innovation."



According to the 2025 Gyeonggi Province Fire Statistics Yearbook, fires at non-residential facilities such as factories and warehouses accounted for 41.8% of all fires in the province, the highest proportion. In firefighting situations, the golden time—meaning whether initial suppression is possible—determines the extent of casualties and property damage. However, because most of these facilities have few on-site personnel, there are delays in early fire detection, which can lead to large-scale loss of life and property.


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

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