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Case Study

Counting 70,000 people on New Year's Eve

An open beach has no gates, no turnstiles and no mains power at the point you most need to know how many people are standing on it. Seven devices answered the question in real time, and identified nobody.

CC
Catherine Caruana-McManus Director of Sales and Strategy    9 September 2026    4 min read
New Year's Eve fireworks launched over the ocean, with a large crowd gathered along the sand and grassed foreshore of an Australian beach at night
Fireworks launched from onshore and offshore locations across three major beachfront tourism hotspots, with crowds spread along open, unfenced foreshore.
On this page
  1. Context
  2. The Challenge
  3. The nCounter Solution
  4. Results
  5. Beyond New Year's Eve

Run the same play on your events.

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Context

One of Australia's premier coastal tourism regions attracts millions of local and international visitors with its beaches, outdoor lifestyle and year-round calendar of major sporting, cultural and community events.

New Year's Eve is one of the busiest nights of the year, with large crowds gathering across beaches, foreshore parks and shared pathways for family-friendly fireworks displays. For New Year's Eve 2026, fireworks were launched from onshore and offshore locations across three major beachfront tourism hotspots.

The Challenge

Managing large-scale events across open, unfenced coastal environments requires the Local Government Authority to understand crowd numbers and movement in real time while supporting public safety, emergency response, traffic management, cleaning and amenity servicing.

Traditional approaches, including manual counts, CCTV and post-event estimates, can be slow, costly, difficult to scale and potentially raise privacy concerns. Council needed a solution that could operate without mains power or fixed infrastructure while providing timely insights without capturing personal data.

The nCounter Solution

Leveraging its existing public-access LoRaWAN network, managed by Meshed, Council deployed seven nCounter people-counting devices across key beachfront viewing areas.

Using passive Wi-Fi probe detection, nCounter measures footfall and dwell times within defined zones without collecting personal or identifiable information. Aggregated data is transmitted over LoRaWAN and visualised through the nCounter Platform and Council's Power BI environment, giving teams access to near-real-time insights.

Results

During the New Year's Eve event, nCounter recorded more than 70,000 visitors, with an average dwell time of 16.2 minutes.

70,000+
visitors recorded at a single monitored location
16.2
minutes average dwell time in the foreshore zone
7
nCounter devices across key beachfront viewing areas

The data enabled Council to monitor crowd volumes, validate safety strategies, support post-event servicing and quantify attendance with greater confidence.

Quantify attendance with confidence rather than estimates. For a public safety plan, the difference between the two is the whole argument.

Beyond New Year's Eve

Council has since deployed more than 30 nCounter devices across tourism hotspots and mobile sensing trailers. Data is supporting planning for shopping precincts, parking and mobility, active transport infrastructure, and events including triathlons, marathons and surf carnivals.

nCounter provides Council with a scalable, low-power and privacy-by-design approach to understanding how public spaces are used, supporting safer events and more evidence-based investment decisions. The same fleet underpins a digital kiosk deployment in the region's strip shopping precincts.

A crowd nobody can count is a safety plan built on a guess.

Catherine Caruana-McManus
Written by
Catherine Caruana-McManus

Director of Sales and Strategy at Meshed. A recognised leader in intelligent asset management & smart cities & has delivered hundreds of successful customer deployments across Australia, Asia Pacific and the US. Founding Director of the Connected Technology Alliance Australia and former Director at KPMG and IBM.

Count a crowd without identifying anyone

Real-time crowd numbers and dwell time for open events, with no mains power and no personal data.