In large public areas such as events, airports, stadiums, and community halls, where large numbers of people gather, monitoring the crowd for any suspicious events or alarming situations is crucial. After engaging with numerous stakeholders managing public areas over the past few months, a clear trend has emerged: AI is rapidly becoming an obvious choice for crowd management and monitoring. In 2024, AI is poised to play a major role in transforming crowd behavioral analysis.
What is Crowd Analysis?
Crowd analysis is the practice of analyzing and monitoring crowd behavior in real-time using AI technology. It offers insights into various aspects of crowds, such as head count and density, and crucially, it generates real-time alerts for any alarming situation or suspicious events.
Use of Vision AI in Crowd Monitoring and Behavior Analysis
Vision AI stands as the most effective and convenient method for monitoring crowd behavior in large gatherings at public spaces such as events, airports, stadiums, community halls, and similar venues for security purposes.
In these public locations, surveillance cameras are already operational. They serve as the eyes of the monitoring system, capturing live footage of the crowd. These cameras are strategically placed to cover maximum areas, ensuring no significant activity goes unnoticed.
Vision AI leverages this existing infrastructure to provide a powerful crowd analysis solution. This advanced technology takes the video stream from these cameras and analyzes the footage in real-time. Unlike traditional video surveillance that relied on human monitoring, Vision AI automates the process, making it more efficient and less prone to error.
Crowd analysis trends in 2024: Solutions Leaders are Seeking with Vision AI
Head Count
Leaders are looking for accurate head counts, including gender detection and age classification, to understand the composition of crowds better.
Density of Crowd
Vision AI provides real-time data on crowd density, displaying this information in a heatmap format. The system alerts when crowd density exceeds safe levels, helping to prevent overcrowding and potential safety risks.
Crowd Movement
The system analyzes crowd movement patterns to identify areas of congestion and potential bottlenecks, essential for effective crowd management.
Face Recognition and Duplicate Detection
An interesting requirement from leaders is the consideration of duplicate individuals in head counts, made possible through face recognition technology.
Finding Individuals
In large events or factories, locating a specific individual within the premises is often necessary. Vision AI can search and locate individuals within the surveillance zone efficiently.
Restricted Area Monitoring
Vision AI is crucial for monitoring prohibited areas in public places, alerting authorities if individuals attempt unauthorized access.
Loitering Detection
The system can identify and alert authorities to loitering, which could be indicative of potential security risks.
Vandalism and Fighting Detection
Vision AI is adept at recognizing acts of vandalism and fighting, enabling quicker responses to these situations.
Vision AI is dramatically changing the landscape of crowd analysis in public spaces. By providing real-time, automated monitoring and analysis of crowd behavior, it enhances security, safety, and operational efficiency. As we move further into 2024, the role of Vision AI in public safety and crowd management is only set to increase, marking a new era in how we approach public space management.
