Triplet RYME
Visitor Flow Analytics for Events
Triplet RYME analyzes queue patterns and seating flow together, helping operators respond faster and with greater precision.
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Recurring Problems
Events are always packed, but congestion issues keep repeating.
- Sudden surges hit right before and after gates open.
- Congestion keeps recurring at lobbies, entry gates, and key chokepoints.
- Every event still requires many on-site staff.
How Triplet AI Understands Space
Triplet RYME records the flow of visitors within a space and organizes it into a format operators can act on immediately.
Not complex numbers — an intuitive view of what’s happening in the space right now.
- Real-time visitor movement tracking
- Cumulative inflow/dwell/exit data by zone
- Movement organized into understandable patterns
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Manages congestion in real-time and analyzes inflow patterns
We provide benchmarks for operational decisions.
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Real-time analytics built for short-term events
Detect congestion first. Respond immediately.
- Visualizes congestion at entry gates and key zones in real-time.
- Schedule-based analytics tools separate and analyze data by individual event sessions.
- During congestion, route visitors to less crowded areas via alerts.
- Data-driven insights for improving event structure.
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Building benchmarks for decision
We make the changes happening inside a space understandable — so operators can act on them.
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1. We observe movement within the space.
Not raw camera footage — movement abstracted onto floor plans for clear visualization.
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2. We remember the patterns.
Each day’s flow is stored as a comparable reference point.
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3. We interpret why things change — as patterns.
We distill a space’s rhythm into explainable patterns.
Real-World Applications
We need a single view of real-time headcounts by entrance and zone.
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Visualizes entry/exit headcounts per gate and density per zone in real-time.
Monitors multiple gates and zones on a single dashboard simultaneously, triggering instant alerts when thresholds are exceeded.
Operators can determine where to deploy staff right now — without physically patrolling the entire venue.
After Implementation
- Density threshold alert accuracy: 94%
- Staff deployment decision time: 12 min → 3 min
- Reduced dwell time in overcrowded zones after guidance
We want to use flow data from past events to improve the next one.
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Separates and accumulates inflow, dwell, and exit data by individual event session.
Compares congestion onset timing, zone, and duration across sessions to identify recurring bottleneck structures.
Enables data-backed planning for next-event routing, staffing, and operations.
After Implementation
- Cross-session congestion pattern reports available
- Recurring bottleneck detection rate: ~88%
- Ops planning time reduced by ~50%
USE CASE
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Expoforum
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SETEC
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LG전자
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Chunjae Education
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InnoRed
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Try it out with a guided demo walkthrough.
Some features may be limited.
Request a DemoWhat answers does your space need?
Data without interpretation piles up and disappears. With Triplet, turn your data into answers that lead to the next action.
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