Military areas are rapidly advancing in technology, with automation and unmanned systems becoming global trends. Relying on human monitoring for potential safety incidents is often insufficient.
High-security requirements for disaster prevention equipment in military areas make it rare to find products that are entirely made in Taiwan.
Military areas have a high risk of explosive materials. Without the ability to predict when old power systems and high-voltage substations might fail, these materials are at risk of exposure to electrical fire accidents.
Solution Scenarios
Utilize AI image recognition technology, active visual flame/smoke, and dual-spectrum heat detectors to provide immediate alerts when abnormal smoke appears in high-risk areas, assisting safety management personnel in responding promptly.
Employ various AI recognition technologies developed independently by Taiwan's industry, government, and academia to enhance the safety levels of military facilities through active disaster prevention technology.
Implement the ultra-early AI partial discharge detection system to detect electromagnetic signals in military areas or equipment. When partial discharge signals are identified, notifications are sent, and AI technology is used to diagnose the health status of power equipment.
Implementation Effects
Ensuring the normal operation of high-risk equipment.
The VFDS visual fire detection system provides early fire warnings in large indoor spaces and high-risk areas in outdoor/semi-outdoor spaces.
The ultra-early AI partial discharge detection system monitors the safety of power equipment in military areas.
Image-based monitoring replaces manual inspections to continuously monitor instrument status.
Mobile/wearable emergency response systems facilitate task dispatch and ensure personnel safety.
The integration of GKB's software and hardware platform consolidates various types of environmental sensors, such as temperature, humidity, illuminance, and personnel intrusion, to achieve multiple layers of protection.