Robotlar

Event Exit Dynamic Crowd Guidance.

Crowd crush risk and slow evacuation processes at large event exits.

SCENARIO: PUB-08
Mall & Public Areas

Operational
Mechanism.

Technical details of field integration, data flow, and autonomous decision algorithms.

Edge Hardware

3D LiDAR
High Decibel Speaker
LED Warning/Direction Lights
HD Camera

Artificial Intelligence

Navigation (SLAM)

Reactive navigation with instant route changing based on crowd flow density

Perception & Analysis

Crowd Density Map and Congestion Point Prediction (Crowd Heatmap)

Autonomous Workflow

At event conclusion, the robot positions at exit points; creates crowd density map with LiDAR.

When most congested exits detected, multi-language guidance announcement made via speaker; LED arrows indicate least crowded exit.

Crowd flow monitored in real-time to predict congestion points; crowd map transmitted to security center.

Emergency protocol triggered when crush risk detected; opening of backup exits recommended to security team.

Operational ROI.
Strategic Decision.

EXPECTED BALANCE IMPACT

Annual $56,000 security and operational savings. ROI: 2.8x

Shortens evacuation time by average 38%; reduces crush event risk by 91%.

Example modelling — not realised customer data. Calculated assuming roughly $20,000 total investment (robot, integration and commissioning); actual results vary by facility, shift count and configuration. Request a quote for a calculation specific to your organisation.

Review Your Custom
Autonomous Operation
Plan On-Site.

Our engineers are ready to present this robotic integration plan, specially simulated for your facility, to your team. Let's confidently launch your business's digital transformation.