Skip to main content

Crowd Density & Risk Assessment

Crowd Density Detection

Continuously monitors various patterns such as sudden crowd concentration, backflow, and movement speed changes.
When a situation occurs, it is delivered with evidence, enabling a reliable response.
You can detect the exact moment by simply explaining the degree of the situation or writing exceptional conditions.

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 the crowd density is so high that the sidewalk is not visible"

Step 2

Check Results & Optimize

Check detection results and modify targets and scenarios if necessary.

Early Identification of Danger Signs

In environments where crowds flock rapidly, a small increase in congestion can lead to a large accident.
A system is needed to identify people's movement patterns in real-time and quickly confirm danger signals.
EVA-based intelligent control helps managers take preemptive action and strengthens safe operation.

Expansion of AI-Based Physical Safety Control

EVA goes beyond detecting dangerous situations and can be integrated with access control, alarm systems, and guidance devices.
When a risk of an accident is detected, immediate physical response is executed,
enabling expansion into a Physical AI environment that can prevent accidents in advance.

Video source: National Information Society Agency (NIA), South Korea.