According to the recent FIFA report, 'The FIFA Women’s World Cup 2023 is capturing the hearts and minds of football fans around the globe but no more so than in the two co-host countries of Australia and New Zealand.' This sentiment is echoed by the record-breaking statistics, from ticket sales to digital media data, showcasing the monumental growth of the Women's World Cup.
A byproduct of this heightened interest and record-breaking fan attendance at multiple venues means an escalating need for advanced crowd analysis to ensure the smooth and safe running of the numerous live events. How this is achieved has changed significantly with the onset of Computer Vision, specifically how advanced crowd and traffic analysis of the event attendees makes these large events safer and more efficient for everyone.
Monitoring and managing the flow of spectators into a stadium during significant events like the Women's World Cup is crucial for safety and smooth execution for the local government, transportation bodies, first responders, and event managers. With computer vision, we can improve fans' entrance and exit experience and optimize crowd control.
Key Event Management Pain Points
The key pain points requiring monitoring and analysis for optimal event management include:
- Crowd congestion - High crowd concentrations at both entrance/exit points can lead to slow processing times, potential safety hazards, and poorer fan experience.
- Local transport passenger drop off/pick up zones - Analysis of demand versus supply of local transportation and the subsequent staff resourcing to guide the way in and out of the venues effectively.
- Emergency situations - In cases of medical emergencies, it's vital to quickly locate and reach affected individuals and be able to evacuate them expediently.
- Anomaly events - Identify aggressive behavior/fights before major escalation.
- Evacuation routes - If there's an urgent need to evacuate, directing large crowds can be challenging, particularly if there are potential impediments/barriers to specific exits and a need to make real-time changes to redirect the crowd flow.
Computer Vision Use Case Applications For Events
1. Dynamic Flow Analysis:
- Implementation: Understanding Crowd Dynamics - Respectfully and responsibly Unleash live's state-of-the-art Dynamic Flow Analysis uses camera and sensor data to monitor crowd movements, providing real-time insights into crowd density and pace.
- Benefits:
- Event Managers can adjust staffing levels or open more gates to alleviate congestion.
- First Responders: Awareness of congestion zones helps in strategizing movement during emergencies.
- Crowd: ensures a smooth, hassle-free experience while minimizing congestion-related risks.
2. Emergency Detection:
- Implementation: Systems detect unusual behaviors, such as someone falling or remaining stationary among moving crowds. Computer vision can even detect aggressive behavior of people or fights.
- Benefit for First Responders: Immediate alerts allow for quick response, improving the chances of a successful intervention.
3. Smart Evacuation Guidance:
- Implementation: In emergencies, computer vision can analyze crowd movements and suggest the most efficient evacuation routes.
- Benefit for Event Managers and First Responders: Enables them to guide crowds effectively and prevent bottlenecking during emergencies.
Zone setup and congestion point analysis for crowds
Ensuring Public Safety and Comfort
- Transparency: The public should be informed about computer vision usage, emphasizing safety and security.
- Data Privacy: All data processing should be anonymized, ensuring no personal data is stored longer than necessary.
- Educational Campaigns: Host informational sessions or distribute materials explaining how the technology improves safety and enhances the overall event experience.
Privacy Policy
Protecting Your Privacy is Our Top Priority. We understand the concerns surrounding camera-based monitoring, and here’s how we address those concerns:
- Anonymized Data Processing: Our technology captures crowd patterns, not individual identities. All the data are anonymized and then processed for analysis.
- Read more here about Data, Privacy, and Security at Unleash live.
- No Data Storage: We do not store personal data. The information processed is transient, solely for real-time analysis.
- Optimized for Purpose: Our software is tailored for crowd movement analysis, not individual recognition. It focuses on the bigger picture, ensuring the best event experience.
Key Benefits For Major Events
Staffing - Staffing for large events is expensive; often, 2/3 of a venue's costs are staffing. These staff are largely under-trained personnel with a heavy requirement on management and oversight. Computer vision can monitor crowd movements, behavior, on-site cleanliness, and more without human intervention. The AI then directs staff on a need-based rather than a rostered or posted model. Get staff and attention to the areas that need it most.
Regulatory Requirements - Reports are often generated hourly with complicated and demanding stakeholders. Attendance movement reports can be generated instantly for fire and police departments and traffic and municipal event teams.
Video Amalgamation - Different camera hardware is used for different purposes. Our computer vision models amalgamate ALL the visual inputs on a customer's site to give a holistic view of the event so the operations teams can make centralized decisions. Centralized decision-making allows for less manual inputs and lower operational costs and is associated with higher success rates.
Higher Event Revenue - Sponsorships are the lifeblood of live events. Visual Crowd Analysis will generate instant reports on crowd flows and movements. This data informs event organizers and sponsors of ROI. Sponsor packages, fan offerings, and events are raising revenue on confirmed data analysis, allowing for greater revenue generation.
Summary
The FIFA Women's World Cup 2023 is gaining global attention, particularly in Australia and New Zealand. The increased interest and record-breaking fan attendance at multiple venues necessitate advanced crowd analysis for smoother and safer events. Computer vision technology plays a significant role in monitoring and managing crowd flow, addressing pain points such as congestion, transportation, emergencies, anomaly events, and evacuation routes. It enables dynamic flow analysis, emergency detection, and smart evacuation guidance, benefitting event managers, first responders, and the crowd.
Transparency, data privacy, and educational campaigns are essential for ensuring public safety and comfort. Computer vision offers key benefits for events, including optimized staffing, meeting regulatory requirements, video amalgamation for centralized decision-making, and higher event revenue through visual crowd analysis.