Quick access to essential system features, including the dashboard for an
overview of operations, network settings for managing connectivity, system logs for tracking
activities.
Industrial Safety Management for Serious Industrial Accidents
Smart Farm (Livestock) IoT Infrastructure
Hydrogen Pipeline Integrity Monitoring
Integrates and manages data from multiple sensors across the hydrogen pipeline network while collecting abnormal field signals in real time through reliable communications.
Analyzes vibration and tilt data from the hydrogen pipeline network using Deep Learning (DCNN) to detect abnormal patterns at an early stage and immediately verify hazardous situations through CCTV monitoring.
Tracks the source of hydrogen leaks using a mobile robot equipped with multi-directional acoustic, thermal imaging, and gas sensors.
Hydrogen Pipeline Integrity Monitoring Service Architecture
De-Identified Anomaly Detection
Proactively detects hazardous situations such as loss of consciousness and illegal filming in privacy-sensitive spaces, including public restrooms and changing rooms, without collecting personally identifiable information.
Analyzes low-resolution De-Identified images using multimodal sensing technology that combines Infrared (IR) and Time-of-Flight (ToF) sensors, providing robust performance under diverse environmental conditions.
Continuously monitors communication, power, and sensor status in real time and automatically notifies the Control Center in the event of system malfunction or physical tampering.
Privacy-Preserving Anomaly Detection Service Architecture
Industrial Safety Management for Serious Industrial Accident Prevention
Implements a voice- and vision-based AI Edge Assistant platform at industrial worksites to prevent serious accidents.
Analyzes workers’ speech and video data at the edge to detect hazard-related speech and anomalous behavior, enabling immediate alerts and response.
An LLM-based FMEA agent automatically structures and analyzes collected risk information, enabling intelligent risk assessment and serious accident prevention processes.
Industrial Safety Management for Serious Accident Prevention Service Architecture
Smart Livestock Farm IoT Infrastructure
Integrates various IoT devices—including environmental control systems, biosensors, feeding management systems, and disease control equipment—in real time within a Hanwoo demonstration barn to support unmanned autonomous operation.
Uses AI models to predict and diagnose feed consumption patterns, livestock health conditions, and anomalies, enabling automated feeding and alerts.
Integrates feeding, biosensor, and environmental data and applies AI-driven decisions to real-time operations, establishing a Precision Feeding Management system.
DRAG
