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AI for Disaster Safety Solution ROZAI^®

AI specialized in disaster prevention and management

01.SmartCol™ AIoT(Artificial Intelligence IoT)

◼ IoT complex sensor provides accurate data in real time

◼ Safe and accurate guidance on the shortest evacuation route

◼ Real-life visualization with Digital Twin/Metaverse (ROZETAVERSE™)

It collects accurate data in real-world fire situations and provides users with real-time visualization of the safest evacuation routes.

02.RozeAI^® ViewMaster™ Video Analysis AI Solution

◼ Quick and accurate disaster detection with CCTV image analysis AI

◼ Ideal solution combining flame detection sensor and CCTV image analysis AI

Image Analysis for Fire and Disaster Detection AI solutions analyze/detect unusual abnormalities in image data to detect and alert fire or disaster situations in real time.

03.RozeAI^® RealSense™ AI-Analytics Solution based on real-time sensing data

In contrast to generative AI, which creates universal solutions through general data, it learns/analyzes from real-time data collected by sensors to present accurate solutions for specific buildings

04.RozeAI^® FireWise™ Disaster Response Solution

Artificial intelligence fire simulation provides optimal response and evacuation methods in the event of fire and disaster, and educates and trains officials through ROZETAVERSE™.

05.RozeAI^® RiskGuard™ Integrated Disaster Risk Management Solution

◼ Derivation and operationof disaster risk index

Disaster risk index is derived by comprehensively evaluating disaster cause factors such as electricity, gas, pressure, vibration, temperature, and humidity through big data analysis, and it is applied to the safety management of buildings to effectively respond to and prevent disasters.

06.RozeAI^® Guardians™ On-device AI Disaster Protector Chip

Real-time data analysis of fires and disasters enables early detection of anomalies and effectively provides and utilizes fire prevention and response.

ROZE AI`s DAP(Disaster AI Platform)

Fire pre-cognition technology AI based on Digital Twin platform with IoT fire monitoring

DAP utilizes AI algorithms and data analysis based on IoT/Digital Twin to provide a comprehensive fire and disaster safety AI platform for disaster prevention

ROZE AI’s DAP Platform

01.Key Features

◼ Fire Prevention and Detection: Minimize disaster occurrence by predicting and detecting fire risk through sensor data and image analysis.

◼ Early Warning System: Utilizes AI algorithms to automatically alert relevant agencies and personnel in the event of a disaster to help them respond quickly.

◼ Monitor disaster situations: Real-time analysis of sensor data and video information to monitor the progress and change of disaster situations and support decision-making.

◼ Data Analysis and Forecast: Use big data analysis and machine learning to identify fire patterns and predict future occurrences.

◼ Automated response system: in conjunction with robotic technology, it provides a system that can automate fire response operations and help save lives.

02.Key areas of Application

◼ Fire Prevention and Alarms: Identify fire hazards and prevent fire from happening in advance through an early warning system.

◼ Disaster situation monitoring: Real-time monitoring of disasters such as natural disasters, fires, and accidents supports efficient response.

◼ Automate response: In conjunction with robots and drones, automated response and lifesaving at the scene of a fire.

◼ Disaster Management and Planning: Develop a data-driven disaster management strategy and create an effective response plan

RozeAI^® EnerGen™

AI SoC(System on Chip)

Disaster care AI semiconductor & Electrical power generation AI semiconductor

◼ Energy Harvest Technology is a core technology for realizing a zero-carbon era through energy conservation
◼ In particular, IoT devices are mostly operated by batteries, so it is very important that the battery life lasts long.
◼ RozeAI^® EnerGen™ is an innovative semiconductor technology that integrates and amplifies various natural microscopic light sources to extend the battery life of each device semi-permanently.

RozeAI^® EnerGen™ is used to save energy for various devices installed in major national facilities, military units, buildings, factories, and smart city structures (light lamps, streetlight control devices)

AI Robot

Repeatbot (AI robots specializing in fire disasters)

Operating in the fire site by wireless automatic self-driving function
Send fire scene images
Firemen's dispatch response
Self-judgment of fire conditions
Data collection and transfer capabilities, digital twin interworking
Equipped with automatic fire extinguishing system for fire suppression

1st Version SoC Development Completed

RozeAI's SoC chips and Energy Harvest chips are designed with its own technology.

It is an IoT AI chip specializing in disasters equipped with AI algorithms to prepare for various disasters.

The first version is a chipset that includes RF and MCU, which secures strong global competitiveness through semiconductor development capabilities for connection with artificial intelligence systems

2nd Version(2025): RF + MCU + EH (Energy Harvest)

3rd Version(2027): 2nd Version + AI(NPU) : AI specific chip

ROZETAVERSE™ (RozeAI Metaverse)

Experience space to effectively respond to disasters
Digital Twin + VR(Virtual Reality) + AI Simulation

ROZETAVERSE™, which is applied with augmented reality (AR) that can be implemented in real life and interact with reality beyond virtual environment (VR)
created in the same way as real environment through Digital Twin, is an experience space program that can effectively respond to various disasters by providing
an experience of the optimal solution derived through artificial intelligence simulation.

In particular, officials who have to deal with fire equipment can greatly increase the effectiveness of fire response if they experience reporting, evacuation,
and suppression after warning in various cases where fires occur in advance.

Real and the virtual are intertwined

Interaction with and manipulation of both the physical and virtual environment

General Metaverse VS. Rozetaverse

There is a big difference between the experience in the general metaverse (virtual reality that is only visually similar) and the experience in the Rozetaverse (digital twin with the same environment as the real one).
Digital Twin will be an essential condition for the metaverse to exert its effectiveness in reality.

RozeAI^® SafeGuardSphere™

VirtualTech Hub

◼ It is a technology that combines AI, DigitalTwin, IoT, and VR, and is applied to high-rise buildings, complex buildings, and apartment complexes.
◼ Experience the spaces of the building directly through VR in a virtual space composed of the Metaverse
◼ The operating status of each sensor built in the building can be checked in virtual space.
◼ Innovative technology that enables efficient building management through real-time connection between reality and virtual space.

The spaces of the building can be virtually configured as metaverse and experienced through VR, and it contributes to fire prevention and efficient building management by checking the operation status of the sensor of the building and the real-time status of major facilities.

RozeAI^® Adviser™

Portable AI Safety Device

◼ It is a portable AI safety device that combines artificial intelligence and IoT technology and is used for personal safety management by location and building.
◼ Provide real-time safety in the surrounding space of the user inside a specific building or in a specific area
◼ Wearable AI Device
◼ Real-time two-way conversations are possible, and living information such as security, traffic, and climate, as well as disaster information such as earthquakes and fires, can be provided in real-time.
◼ Firefighters, safety managers, etc. can respond in real time to problems with surrounding safety conditions

The portable AI safety device combines artificial intelligence and IoT technology to manage personal safety according to location and building, and serves as a secretary to provide real-time safety information around users with wearable AI devices and guide living and disaster information in real-time through two-way conversations to respond to dangerous situations around the body when worn on the body.

RozeAI^® SenseCloud™

Disaster Sense Cloud Analytics Service

◼ Store measured data from disaster-related sensors installed in various buildings on a cloud server (storage) over the network
◼ Using big data stored in the cloud to analyze and simulate artificial intelligence to deliver optimal disaster response solutions to apps and control PCs