Ingress
Smart Entry & Access
AI gate routing, NFC and QR scanning, and dynamic lane load balancing keep arrival pressure moving.
Smart venue intelligence
Move every fan from curb to seat with less friction.
One operating layer for entry routing, live crowd flow, mobile wayfinding, concessions, staff response, parking, and transit.
25%
avg queue time reduction
<60 s
congestion detection-to-alert
99.9%
platform availability target
Platform view
Every high-pressure venue moment becomes measurable.
ArenaIQ combines real-time sensing, predictive routing, fan-facing guidance, and staff command workflows so a busy event can respond before bottlenecks become visible on the concourse.
Six modules
Built around the full fan journey.
Movement
Crowd Flow Intelligence
Computer-vision density mapping and predictive foot traffic redirects help fans avoid growing bottlenecks.
Fan app
Fan Mobile Companion
Wayfinding, concession wait alerts, and pre-ordering keep fans close to the action.
Revenue
Smart Concessions
Queue prediction, mobile pre-orders, and cashless pickup lockers reduce missed purchases.
Command
Operations Dashboard
A unified staff command center brings heatmaps, incident alerts, and security feeds into one response view.
Arrival and exit
Smart Parking & Transit
Pre-event zone assignment, lot availability, shuttle dispatch, and exit wave scheduling smooth the edges of event day.
Fan journey
From the first route choice to the final exit wave.
01
Arrive
Fans receive parking zones, gate suggestions, and transit timing.
02
Enter
Entry lanes rebalance as scans, crowd density, and queue speed change.
03
Explore
Mobile guidance points fans to faster paths, amenities, and seats.
04
Order
Wait alerts and pre-orders shift demand away from overloaded stands.
05
Respond
Staff see incidents, heatmaps, feeds, and recommended response lanes.
06
Depart
Exit waves, shuttles, and lot routing reduce post-event gridlock.
Live operations demo
The venue brain in motion.
Running in simulation mode — data updates every 3 seconds. Connect Firebase Firestore to switch to live venue feeds.
Zone Density
Active Alerts
Monitoring for alerts…
Venue Map
Intelligence core
Six layers turn venue signal into real-time action.
01
Edge capture
Cameras, gates, scanners, POS, lockers, lots, and shuttles stream the live state of the venue.
02
Streaming backbone
Raw firehose events become time-windowed operating signals before any model makes a decision.
03
AI and optimization
Vision, forecasting, and routing use different model families because they solve different problems.
04
Spatial graph
The venue map becomes a queryable network of sections, gates, corridors, stairs, stands, lots, and routes.
05
Serving layer
Low-latency APIs deliver live recommendations to fan apps, dashboards, kiosks, and staff radios.
06
Command and learning
Operators act on the live picture while the platform learns from every event outcome.
Kafka absorbs the firehose.
Kafka is the durable event backbone for camera-derived counts, access scans, POS transactions, locker events, parking updates, and shuttle telemetry. It keeps bursty event-day traffic isolated from downstream consumers.
Flink turns raw streams into live operating signals.
Stateful windowing converts individual events into features such as zone density over a 30-second sliding window, queue growth rate, gate throughput, and concession wait trend.
Vision belongs at the edge.
YOLOv8 handles the visual detection problem: counting people, identifying crowd clusters, and estimating lane occupancy from camera frames before sensitive raw video needs to leave the venue edge.
Edge hardware keeps latency low.
Jetson devices run inference close to cameras, reducing bandwidth and keeping fast crowd detection available even when central systems are under event-day load.
Queues are a temporal problem.
LSTMs model how demand changes over time, making them a strong fit for predicting a concession line, restroom wait, or gate queue 10 minutes from now using recent velocity and event context.
Routing is constraint optimization.
Gate load balancing, route assignment, shuttle dispatch, and exit waves need explainable constraints and objectives. OR-Tools is faster and clearer than forcing those choices through a neural model.
The venue is naturally a graph.
Queries like "route Section G to Gate 4 while avoiding dense zones" map cleanly to nodes and relationships. Cypher keeps these pathfinding questions direct where SQL or key-value access would become awkward.
Outdoor context stays geospatial.
Parking lots, curb zones, transit stops, shuttle paths, and rideshare areas need polygon and distance queries that PostGIS handles cleanly alongside operational metadata.
Hot state needs fast reads.
Current wait times, best route scores, active alerts, and live operator recommendations should be cheap to read repeatedly by apps and dashboards.
Different clients need different shapes.
GraphQL keeps dashboard and mobile reads precise, while REST endpoints stay simple for webhook-style integrations with ticketing, POS, locker, and transit systems.
Operators need one live surface.
The command center combines heatmaps, security feeds, incident queues, staffing recommendations, and routing actions so response teams can act from shared context.
Every event trains the next one.
High-volume event history lands in storage for audit and retraining, while ClickHouse supports fast analysis of throughput, crowd pressure, revenue loss, and response outcomes.
The core starts with clean signal contracts.
Each sensor or venue integration publishes normalized events with source, zone, timestamp, confidence, and operational context so downstream systems can reason over one shared event language.
Phased build roadmap
Launch value early, then connect the venue brain.
Core Venue OS
Establish the data model, live event map, access-control integrations, staff roles, and operational dashboard foundation.
- Venue zones, gates, concourses, lots, and stands
- Ticket scan and lane telemetry ingestion
- Baseline heatmap and incident workflow
Fan Mobile Companion
Add fan-facing guidance for routing, wait alerts, concessions discovery, and event-day notifications.
- Turn-by-turn venue wayfinding
- Gate, restroom, and concession wait signals
- Contextual push messages by zone and crowd state
Predictive Intelligence
Layer in computer vision, forecasting, demand balancing, and proactive operator recommendations.
- Density detection and flow prediction
- Automated route and staffing suggestions
- Concession queue and pickup locker orchestration
Connected Arrival Network
Extend ArenaIQ beyond the venue perimeter with parking, shuttle, rideshare, public transit, and exit wave coordination.
- Pre-event lot assignment and live availability
- Shuttle dispatch and curb-zone monitoring
- Post-event departure wave scheduling
Next event starts before gates open