top of page

Case Study:

Egress/

Ingress

Optimising Crowd Flow with Accurate Ingress & Egress Insights at a Australian Sports Stadium

The Challenge

Stadium operations live or die on crowd movement efficiency. Long waits at gates lead to frustrated fans, delayed entry, and safety risks, while congestion at exits creates poor post-event experiences and operational blind spots.

A major stadium needed real-time visibility into:

  • Gate-level occupancy before, during, and after events

  • Ingress wait times and how they varied by gate and arrival patterns

  • Egress throughput to support crowd control and emergency response

Data that was accurate, real-time, and didn’t require wearable tech or major hardware upgrades

Their goals:

Using anonymised re-identification on existing CCTV, Nola delivered:

✅ Live gate occupancy and queue lengths

✅ Ingress wait times by gate, before and during peak arrival windows

✅ Egress throughput insights after the final whistle

✅ Group-based tracking with anonymised body signatures, no facial recognition, no privacy risk

✅ No new cameras or sensors required

✅ API integration into operations dashboards for live decision-making

Adobe Express - file(1)_edited.png
Adobe Express - file(3).png

The Outcome

Using stadium analytics, the stadium gained real-time control over how fans enter and leave the venue. With precise data on wait times, bottlenecks, and flow rates, the team can now:

  • Open or close gates dynamically

  • Optimise staffing and signage

  • Improve fan experience and safety

  • Report on crowd KPIs with confidence

bottom of page