How to optimise events and stadium safety with video analytics

Stadiums, sport arenas and entertainment venues host hundreds of events for thousands of visitors every year whilst also safeguarding sponsorship revenues which require large-scale security, operation processes, people power and on-going monitoring with reporting.

It is commonplace to have video surveillance systems (CCTV) installed at venues of all sizes to assist the physical and operational security personnel.  The benefits of video surveillance extends beyond that of just security, if paired with video content analytics, and in most cases this doesn’t require a full hardware upgrade, we can increase revenues with operational efficiency and the guest experience, along with safeguarding sponsorship opportunities.

First, let's explain what video analytics is:

Video analytics, also known as ‘video content analytics’ ingests, identifies and classifies objects and behaviours into actionable intelligence, often giving life to searchable metadata. This process typically carries out a specific task, for example, vehicle license plate recognition, understanding crowd dynamics during an event or identifying an unattended object. Video analytics empowers an organisation to search, filter or set up automated alerts and visualise classifications of objects detected; this could be fire and smoke, gender, brand of vehicle, clothing type or colour, as well as a behaviour, dwell times, speed, direction or a change in crowd dynamics. Video analytics also empowers an organisation’s decision-makers with activity trend analysis on visitors.

Operators in the physical security industry use video analytics to automate the task of reviewing hours of CCTV footage for potential threats, such as intruders, an unattended object or smoke. This technology is increasingly popular as video surveillance becomes more commonplace. And by integrating video analytics into one’s existing security operations, operators can be automatically notified to incidents’ during long shifts when they have to monitor multiple camera feeds at once. This enables operators to be more alert and responsive to potential threats and respond proactively.

Above: Remark’s Smart Safety Platform with a heat-map dashboard showing the occupancy per hour during an event

Reasons stadiums and events choose AI-driven video analytics

Accelerate response times and investigations

Historically, looking for a person within video content required sifting through hours upon hours of footage, but with computer vision technology or AI-driven video analytics that can be reduced to minutes. Video analytics dramatically reduces investigation response times with the ability to search for people, a specific attribute like colour, clothing item, accessory, time or a behaviour.

With the ability to watch hours of video footage in minutes, view heat maps of crowds, identify anomalies, left objects and behaviours means a single investigator can carry out the tasks that once took an entire team.

Often the best course of action for security teams is to manage events as they unfold, rather than review the footage from afar. 

Today’s video analytic solutions offer real-time alerts that work to:

  • Improve situational awareness
  • Plan better for the peaks and troughs of crowd formation
  • Keeping security personnel aware of suspicious behaviour as it unfolds 
  • Offer insight to complex scenes quickly and effectively 
Automate occupancy monitoring and control

Gives you a deeper understanding of your peak times to uncover traffic trends and crowd analytics with metrics that can inform your sponsorship capabilities, as well as provide data to prove the value delivered to your sponsors. 

Keeping track of occupancy trends and wait times helps to reduce queue mass. Monitoring entrants & exists by zones or virtual boundaries gives organisations the ability to adjust staffing & operations accordingly.

Share real-time crowd capacity reports with internal stakeholders, sponsorship organisations or law enforcement agencies. Run ‘end of day report’ to show your busiest and slowest areas during the day / event.

Enhancing the fan experience with increased security measures

Improving the flow of visitors with heat map analytics enables event organisers to be in a better position to increase the customer experience by creating a more pleasant & efficient environment. 

Overcrowding detection

Proactive detection of overcrowding with alerts to stadium staff to take necessary actions to prevent accidents and injuries from happening.

Boost security, revenues and the visitor experience

With proactive around-the-clock monitoring of people, assets, anomalies and places, including objects, behaviours and vehicles at scale and speed with actionable intelligence to better understand:

  • Crowd dynamics
  • The flow of people using heat maps
  • Occupancy monitoring and control
  • No. of people entering and exiting at key access points
  • No. of people in each area like merchandising, bars, restaurants etc.
  • Queue management 
  • People density

In summary

Video content analytics empowers stadiums, arenas, sports venues and operations staff with the knowledge necessary to manage the complexities that comes with  hosting tens of thousands of guests in a single space and delivering a fan experience to each visitor as though it was designed just for them.

A solution that over time gives insight into trends, to better understand and optimise event performance and the guest experience as a forever evolving requirement. A solution that has the power to uncover patterns, drive strategic decision making, and optimise operational and business practices with data-driven insights, easily.

Smart Safety Platform.

Our Smart Safety Platform supports Martyn’s Law with AI-driven video analytics that automates your surveillance for a safer more secure environment.

Features include: Video search, search against appearance type, pedestrian monitoring, people counting and flow, vehicle detection and behavioural analysis along with real-time alerts and automated workflows.

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