Crisis Detection

Fire Detection

Detects smoke and fire in real-time to
support early response and minimize the risk of spread.

Wildfire Detection

By detecting smoke, flame patterns, and rapid temperature changes in real-time,
initial wildfires can be identified quickly and the risk of expansion can be predicted.

Flood Risk Detection

AI detects danger signals such as water level rise and flooded area expansion in real-time,
allowing for rapid identification of flood situations.

Only 3 minutes to turn a normal camera into an AI camera! This is how it went.

Step 1

Setting Detection Scenarios

Easily write detection conditions with prompts.
e.g., "Let me know if water is pooled and car traffic is impossible"

Step 2

Brightness Automation

Detection accuracy decreases in dark environments.
Try activating brightness automation.

Step 3

Check Results & Optimize

Check detection results and modify targets and scenarios if necessary.

Early Detection and Rapid Response to Disasters

Because natural disasters have very large occurrence speeds and damage scales, failure in early detection can lead to fatal results.
AI-based surveillance systems can play a crucial role in protecting lives and assets by supporting rapid decision-making.

Expansion of Disaster Response Automation

Based on flood and wildfire risk detection results, it can be integrated with alarm systems, evacuation guidance devices, and fire/waterproofing facilities.
It can be expanded to intelligent disaster safety management that can minimize damage by automatically responding when danger occurs.