Our Vision AI Solutions are Featured On
Vision AI monitors the control area in real time to detect abnormal signs. By combining visual-recognition AI with precise analysis algorithms, it reduces false alarms caused by complex sites or changing weather by more than 90%.
As soon as an anomaly is detected, an alert is sent to the control center and field managers. Live video and location data are shared in real time to support fast, accurate first response within the golden time window.
When risk exceeds a critical threshold, the system sounds an alarm and immediately evacuates people from the danger zone. It simultaneously reports damage status to the control room and automatically controls nearby hazardous facilities to prevent further damage.
The safety status of the control area is managed through a single dashboard. AI analyzes accumulated hazard data to predict potential risk proactively and support the development of disaster-prevention measures.
When strong shaking, dense smoke, or other abnormal signs are detected, the system recognizes the situation and recommends actions that can be taken immediately. A natural-language interface lets operators collaborate with the AI agent while visualizing the basis for its decisions.
It goes beyond simple detection by calculating crack depth, vibration state, and combustion speed in near real time to quantify risk. Based on live data, it derives evacuation priorities and optimal disaster-response paths, then provides a visualized hazard map to support rapid decisions.
Past patterns and subtle physical changes such as tilt and vibration are combined to predict future disaster probability proactively. The AI agent can brief operators in natural language with probabilistic forecasts such as an 85% collapse risk within 30 minutes, supporting preventive action and securing golden time before a disaster occurs.
