Customer Flow Direction & Bottleneck Point Analysis
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
- Unitree AS2
The problem addressed
Indoor pedestrian congestion, emergency exit bottlenecks, and unplanned crowd management.
Draft mission flow
- 1Robot moves through mall main corridors analyzing pedestrian flow direction and speed with stereo cameras.
- 2Bottleneck points (narrow passages, staircase fronts, door exits) mapped with congestion levels.
- 3Peak hour congestion predictions generate security barrier or guidance staff positioning recommendations.
- 4Bottleneck data fed into evacuation simulation for emergency scenarios; optimum escape routes updated.
Proposed hardware
- Stereo Depth Camera
- HD Camera
- Bluetooth Beacon Array
- 3D LiDAR
- WiFi Probe
Proposed software
- Navigation
- Crowd monitoring route at mall main arteries and entry/exit points
- Model
- Pedestrian Flow Vector Analysis, Bottleneck Congestion Detection, and Time-Based Density Prediction Model
- Integration
- Mall Operations Dashboard and Emergency Evacuation Planning System
The robot's real operating limits
Unitree AS2
Industrial Capacity in a Compact Chassis
Product page- Ingress rating
- IP54
- Runtime
- >4 hours (No load)
- Operating temperature
- -20°C to 50°C
- Payload
- Up to 65 kg
- Max speed
- >5 m/s
- Climb
- 40°
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.