Limits of Large-Scale Counting
In ultra-dense scenes (10,000+ people), heavy occlusion causes a sharp drop in recognition accuracy for conventional models.
Inaccurate headcounts lead to failed field control.
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Head Probability Density-based estimation delivers reliable crowd counts and density even in ultra-dense scenes.
Reliable numbers for large-scale crowd analysis and risk prediction.
Real-time crowd counting
Continuous density tracking
Certified performance
Simple object detection and slow analysis pipelines can paralyze control systems in ultra-dense situations.
In ultra-dense scenes (10,000+ people), heavy occlusion causes a sharp drop in recognition accuracy for conventional models.
Even world-class models often run around 2fps, creating critical lag between real events and monitoring displays.
Systems focused on counting alone lack predictive alerts that detect risk signals from density changes in advance.
Head Probability Density minimizes errors in ultra-dense environments while enabling real-time crowd counting.
Proprietary algorithm optimization delivers 12fps inference, six times faster than conventional 2fps systems.
Enables 4-stage density alerts and predictive risk signaling, with intelligent linkage to command vehicles and drones.
Counts people in real time per designated zone and automatically calculates 4-level risk grades by density.
4-level risk grading per zone
As demonstrated in the Bando Telecom disaster command vehicle case, our AI supports real-time crowd counting and risk detection on mobile platforms beyond fixed cameras.
Real-time counting on the move
PPS Innovative Product (2025)
3 operational goals
Field Capabilities
Continuous crowd count and density analysis while the vehicle is moving
Field Capabilities
Case Reference
See how our AI analysis and response capabilities are utilized in a third-party command vehicle platform.
Open Case Page
Operational Goals
