Customer Flow Direction & Bottleneck Point Analysis.

Indoor pedestrian congestion, emergency exit bottlenecks, and unplanned crowd management.

REF: PUB-50
Mall & Public Areas

Operational
Mechanism.

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

Edge Hardware

Stereo Depth Camera
HD Camera
Bluetooth Beacon Array
3D LiDAR
WiFi Probe

Artificial Intelligence

Navigation (SLAM)

Crowd monitoring route at mall main arteries and entry/exit points

Perception & Analysis

Pedestrian Flow Vector Analysis, Bottleneck Congestion Detection, and Time-Based Density Prediction Model

Autonomous Workflow

Robot moves through mall main corridors analyzing pedestrian flow direction and speed with stereo cameras.

Bottleneck points (narrow passages, staircase fronts, door exits) mapped with congestion levels.

Peak hour congestion predictions generate security barrier or guidance staff positioning recommendations.

Bottleneck data fed into evacuation simulation for emergency scenarios; optimum escape routes updated.

Operational ROI.
Strategic Decision.

EXPECTED BALANCE IMPACT

Annual $46,000 operational efficiency and safety gain. ROI: 2.3x | Payback: 1.9 Years.

Reduces congestion-related complaints by 55%; improves evacuation simulation time by 40%.

Review Architecture
Plans with
Professional Presentation.

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