Integrated IT Service

Business area

Smart facility safety control · Care (elderly,disabled) · Digital health

Smart facility safety control

As the risk of facilities increases due to external irritating environments, we respond to this and support preventive activities through early detection. By securing data in real time and predicting abnormal displacement using artificial intelligence-based deep learning, information on control facilities for each module in each field is monitored and abnormal data is collected in advance. We provide an artificial intelligence smart monitoring system that can take preventive measures in real time when an abnormal situation occurs in a facility.

Key Features

"Big data-driven safety prediction and monitoring for aging infrastructure like plants, tunnels, bridges, and facilities."

"Drone-based CCTV for inaccessible areas, blind spot analysis with CNN, and danger prediction via deep learning."

"IoT-based data collection and deep learning for facility risk and safety detection."

Acoustic/sound wave signals such as noise (Hz) and vibration (db) Analysis AI Algorithm

"Facility inspection data linked to APIs for measurements, displacement, and National Disaster Portal."

"Remote control via monitoring, emergency alerts, situation prediction, and target management."

IoT sensing equipment functions

Fire detection

USN sensing

CO2,GAS

Sound sensing

Motion detection

Noise / Vibration

Shift detection

Light sensing

Wind detection

Measurement sensing

Smart care (elderly and disabled)

We monitor the lives of socially vulnerable groups, the elderly, people with severe disabilities, and welfare service users. We provide services for social issues caused by a super-aging society, such as living safety, prevention of lonely deaths, and welfare guardians. By combining IoT-based sensing equipment and artificial intelligence technology, we provide AI deep learning through continuous data, collection of bio-signal such as location, activity index, respiration and body temperature, and 24-hour monitoring platform services.

Key features

"Non-contact, wideband vital sign detection for movement, respiration, and more without awareness."

Biometric info storage/encryption, pattern recognition of crisis situations and abnormal signs and analysis

Monitoring the overall household integration status and Administrator with system control, Management

"Rapid detection of risks, anomalies in daily lives of socially vulnerable groups, creating efficient response."

Biosignal

Biometric signals and information collection data (body temperature, respiration, heart rate, activity index, etc.)

AI deep learning

AI deep learning treatment of the elderly and the weak through collected bio information Personal pattern

IoT sensing

Proximity, motion detection and radar sensors, etc.
Emergency response system systemization

Self-manage APP

Early detection, management of abnormal signs through the app. Sending messages to administrators and guardians

custom develop

Care for the elderly and severely disabled, etc. Low power miniaturization custom development

Home network

Townhouses, communal facilities, Nursing etc. Implementation of wireless IoT home network platform

IoT-based wearable device

Physical activity and biosignal recognition Transmit the collected data to the server

BigData server

Physical activity and biosignal recognition Transmit the collected data to the server

AI server

Learning frame construction, learning algorithm, Apply data diagnostic learning model

Sensing equipment and gateway

Various IoT-linked sensing data and PC, ICT-based terminal devices such as mobile

Integrated control monitoring

Integrated data visualization, R analysis statistics, Biological signal abnormality prediction monitoring

Digital health care

The use of MyData, which is a concept in which individuals who are the subject of information and manage it with the right to self-determination, has increased. The medical big data held by the National Health Insurance Corporation and the Health Insurance Review and Assessment Service has accumulated to 3.4 trillion and 3 trillion, respectively, making Korea the world's No. 1 medical data infrastructure environment. Based on this, we provide personalized disease diagnosis by linking various smartphone apps.

Establish an individual-centered health management ecosystem based on data obtained from individually owned mobile and wearable devices and cloud hospital information systems.

By continuously monitoring the Internet of Medical Things (IoMT), you can manage situation and allow medical staff to easily and identify the patient's treatment and rehabilitation status.

Integrating and analyzing medical data
Going beyond the standard, improving the quality of life of patients and realizing patient-centered medical value.
use of means for

System Configuration Summary

IoT-based solutions and services integrate and interconnect equipment, forming a system that can be applied to a variety of APP

Establishment of patient data monitoring device + medical staff use device + hospital intranetwork connection

Consists of web connectivity and M2M (machine-to-machine) technology to process and transmit patient medical data

An IoT layer with built-in software and hardware devices, a system that stores and processes patient data

Unstructured medical data and personal structured data are processed, visualized, mapped, and cloud-delivered

Smart devices leveraging big data and machine learning offer personal solutions for improved disease prevention, diagnosis