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K-City Network Overseas Demonstration Proejcts

Project Overview

Project Objectives

To share expertise with overseas cities seeking to develop Korean-style smart cities and to support the global expansion of outstanding smart solutions developed by domestic companies

Project Type

Support for all activities (including the budget) required to carry out demonstration projects―involving on-site surveys, the installation of relevant technologies and equipment, and the validation of related technologies and services―to pilot Korean-style smart solutions in overseas cities

Project Period and Budget

April 2025 - December 2025 / 2,255 million won (based on government funding)

Legal Basis

Article 30 of the Act on the Establishment of Smart Cities and the Promotion of the Smart City Industry

Project Status

Project Details
List of projects by category, overseas country/city, project name, budget (KRW million) and domestic performing institution
Overseas
Country
(City)
Project Name Solution Domestic
Implementing
Organization
Italy
(Milan)
Demonstration of AIoT Sensor-Based Waste Collection Management System Smart Waste Management Ecube Labs Co., Ltd.
Italy
(Verona)
Demonstration of Traffic Management System Based on Edge AI Traffic Sensors and AI Simulation AI Simulation-Based Traffic Control System Bitsensing Inc.
United Kingdom
(Birmingham)
Demonstration of AR-Based Barrier-Free Walking Navigation Service for Mobility-Impaired Persons AR-Based Barrier-Free Navigation LBSTECH Co., Ltd., Korea Advanced Institute of Science and Technology
Peru
(Lima)
Demonstration of Smart Traffic Safety System for Pedestrian Accident Prevention and Traffic Safety Improvement Traffic Safety Solution Songam Syscom Co., Ltd., Moptycon Co., Ltd., Seoul Housing & Communities Corporation
Malaysia
(Kuala Lumpur)
Demonstration of Smart Parking Service Based on Edge AI and Data Hub to Resolve Urban Parking Shortage AI-Based Smart Parking Service Ditonic Co., Ltd., Korea Institute of Civil Engineering and Building Technology
Thailand
(Khon Kaen)
Demonstration of AI CCTV-Based Real-Time Anomaly Detection for Traffic and Public Safety Anomaly Detection Solution PIA Space Co., Ltd.
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