Concept scenario
Event Exit Dynamic Crowd Guidance
Scenario record: it defines the environment, the mission flow and a proposed hardware and software configuration. The list below is a configuration proposal, not an installation inventory. Field projects lists deployed systems and their measurements.
- Environment
- Indoor, public area
- Operating mode
- Supervised autonomy
- Proposed robot
- PUDU KettyBot Pro
The problem addressed
Crowd crush risk and slow evacuation processes at large event exits.
Draft mission flow
- 1At event conclusion, the robot positions at exit points; creates crowd density map with LiDAR.
- 2When most congested exits detected, multi-language guidance announcement made via speaker; LED arrows indicate least crowded exit.
- 3Crowd flow monitored in real-time to predict congestion points; crowd map transmitted to security center.
- 4Emergency protocol triggered when crush risk detected; opening of backup exits recommended to security team.
Proposed hardware
- 3D LiDAR
- High Decibel Speaker
- LED Warning/Direction Lights
- HD Camera
Proposed software
- Navigation
- Reactive navigation with instant route changing based on crowd flow density
- Model
- Crowd Density Map and Congestion Point Prediction (Crowd Heatmap)
- Integration
- Mall/Stadium Security Center and Emergency Management System
The robot's real operating limits
PUDU KettyBot Pro
Premium Advertising and Greeting Robot
Product page- Runtime
- 11 h
- Payload
- 30 kg (10 kg x 3 trays)
- Max speed
- 1.2 m/s
- Weight
- 38
Values are manufacturer data. Scenario fit is determined by comparing these limits with site conditions.
From scenario to installation
Feasibility is determined by the site survey: floor and route, network coverage, the charging point, intervention responsibilities and the conditions under which the robot must stop. The survey report defines the scope, the constraints and the commissioning steps.