NFLUX

NFLUX : Leading the Connection
and Flow of the World

Our platform provides a convergent solution that analyzes and manages IoT-based city data in real time, including transportation, safety, environment, and energy.

Cumulative
Sales 160B
Contracted
Projects 41
Key
Clients 10+
National
R&D 8
Patents,
Certifications 29

Cumulative
Sales160B
Contracted
Projects41
Key
Clients10+
National
R&D8
Patents,
Certifications

Strategic Preparations for the Future of AI and Big Data

The advancement of AI and Big Data is accelerating innovation and transforming the way businesses operate.
NFLUX plays a key role across various industries.

Edge AI and Real-time Analysis

With the advancement of edge computing, AI processing has been decentralized to the proximity of the data source, facilitating real-time analytics and decision-making. This is especially crucial for applications that demand immediate responses, such as autonomous vehicles and industrial automation.
AI-Based Health Care Innovation

AI possesses the potential to propel healthcare innovation by facilitating precision medicine, early disease detection, and tailored treatment strategies. AI can exert a meaningful influence by analyzing genetic data, medical records, and lifestyle factors to discern patterns and predict health outcomes.
Expert Data Analyst

AI possesses the potential to propel healthcare innovation by facilitating precision medicine, early disease detection, and tailored treatment strategies. AI can exert a meaningful influence by analyzing genetic data, medical records, and lifestyle factors to discern patterns and predict health outcomes.
Advancing AI for a Sustainable Future

Since the development of AI technology must take into account the sustainability of the environment, reducing the carbon footprint generated by data centers and AI training processes should be a top priority. Responsible AI development involves creating systems that align with social values and make a positive contribution to local communities

Real-time analysis of traffic safety through
NFLUX's Edge AI computing

Through the Smart City Innovation Technology Project of KAIA (Korea Agency for Infrastructure Technology Advancement),
efforts are being made to enhance transportation safety and efficiency by implementing traffic safety management,
intelligent traffic control, assisted driving, and vehicle integration.

LiDAR Camera Based AI Edge Computing

NFLUX is transforming urban environments into smarter, safer, and more efficient cities by revolutionizing traffic management through AI, enabling a world where accident risks, vehicle movement patterns, and population dynamics are fully predictable.

AI and ML are enhancing traffic management by leveraging real-time data, including traffic flow, congestion, accidents, weather conditions, population dynamics, and time, to predict future outcomes more accurately.

By leveraging AI and ML algorithms to analyze vast amounts of data from vision systems and sensors, advanced data processing systems such as edge and cloud computing are essential for intelligent traffic management.

In ITS (Intelligent Traffic Systems), NFLUX plays a pivotal role in the field of AI and ML, continuously driving innovation through its advancements.

Real-time analysis of traffic safety through NFLUX's Edge AI computing

The global transportation sector is anticipated to undergo transformative changes within the coming years. Transportation systems, including trains and cars, that ensure efficient, comfortable, and safe arrivals at their destinations are becoming increasingly smart and automated, and will eventually replace human drivers.

NFLUX has segmented the urban transportation domain within the Smart Transportation sector into four distinct stages and developed an abstract model referred to as the Urban Mobility Stack.

The first stage encompasses the physical infrastructure, including trains, bridges, and roads. The subsequent stage involves the traffic laws and regulations that serve to prevent confusion during the use of this infrastructure.

The subsequent stage pertains to the vehicle itself, while the final stage encompasses the interface used for public transportation, such as checking bus and train schedules and making payments.

NFLUX has been devising solutions to address fundamental questions such as where we will reside, how we will travel, and how personal and public transportation will be managed. The shift from a vehicle ownership model to a transportation model that provides personalized services, enriched with information and connectivity technologies, has the potential to completely transform individuals' diverse activities and generate both unforeseen economic and social opportunities and challenges.

NFLUX's data platform is optimized for smart railway stations.

A real-time big data processing platform for railway operation and station management,
aimed at enhancing the efficiency of the railway system and providing better services to passengers.
NFLUX's smart railway station system significantly contributes to improving operational efficiency
and enhancing passenger satisfaction.

Data Hub & Smart Railway Station

The metropolitan railway authority analyzes and manages station facilities and control system data, while the Data Hub analyzes integrated railway data.

NFLUX Integrated Control System:
A Proven Solution for Safety and Efficiency.

NFLUX Integrated Control System collects and analyzes real-time data generated by various systems
and equipment, supporting efficient operations and decision-making.
By integrating and managing diverse systems and equipment, it enhances inter-system connectivity,
facilitates smooth information sharing, and ensures efficient operations.

Why is Integrated Control System Necessary?: Integrated Control System enhances operational efficiency by integrating and managing distributed systems, and reduces manpower consumption and errors through the automation of repetitive tasks.; By monitoring conditions in real time, swift responses to issues are made possible, and the likelihood of accidents is reduced through the early detection of anomalies.

Development of Self-Driving Patrol Service

The NFLUX Integrated Control System has been selected as a national R&D operator and
implements an integrated control system for autonomous driving patrol services to prevent traffic accidents.

Possible to simultaneously monitor multiple autonomous patrol vehicles, set efficient driving routes, and take immediate action in case of any abnormal situations.
Analyzes various data in real-time, such as sensor data and camera footage, to detect potential hazards early and prevent accidents.
Possible to remotely control the autonomous vehicle as needed, enabling focused monitoring of specific areas or rapid deployment to accident scenes.

Connected Platform has the Competitive Advantage.

Connects various systems and data to maximize synergies.

NFLUX has AI and big data platform

The more data a machine can learn, the better accuracy and efficiency AI achieves without human intervention, and the more data it is worth.
Continuously developing and improving AI's capabilities requires data, which is the role of big data platforms and AI platforms.