1. Security for Major Events: From Manpower-Intensive Tactics to Intelligent Perception
In recent years, security pressure at major sporting events, music festivals, exhibitions, and similar gatherings has continued to rise. Traditional manpower-intensive tactics and fixed-point surveillance are no longer sufficient to address challenges such as sudden large crowds, complex terrains, and overlapping risks.
Currently, security systems are transitioning towards "intelligent perception." By deploying high-definition video surveillance, thermal imaging cameras, drones, and ground sensors, a three-dimensional perception network is being established. These devices not only capture real-time imagery but also utilize AI algorithms to identify abnormal behaviors—such as unusual crowd gathering speeds, individuals falling, or abandoned objects—thereby issuing early warnings at the onset of incidents.
For example, at an international marathon, the organizing committee deployed hundreds of smart cameras and mobile security screening gates along the route, combined with a crowd density analysis system that updates crowd heat maps every five minutes. When crowd density at a refreshment point approaches a threshold, the system automatically adjusts diversion instructions and notifies nearby security personnel to proactively manage the flow, effectively preventing stampede risks. This closed loop of "perception-analysis-response" is becoming the standard for security at major events.
2. Public Transit Security: Data Fusion and Risk Prediction
Transportation hubs such as subways, buses, and high-speed rail stations are characterized by enclosed spaces, dense passenger flows, and complex transfers. Traditional security focuses on post-incident forensics, but the new trend is "pre-incident prediction." This relies on the fusion of multi-source data—video surveillance, gate passage records, security screening information, weather data, social media sentiment, and more—all integrated into a city-level security platform.
Through big data analysis, the system can identify potential abnormal patterns. For instance, if the same individual repeatedly passes through subway gates during off-peak hours over several days with unusual movement trajectories, the system flags them as a "person of interest" and pushes an alert to duty terminals. Additionally, based on historical passenger flow and real-time data, the platform can predict congested areas within the next 15 minutes, allowing for proactive deployment of security forces or adjustments to train schedules.
In a major metropolitan subway network, operators have introduced a "risk index" model that scores each station in real time based on equipment status, passenger density, historical incidents, and other indicators. When the index exceeds a threshold, enhanced patrols and broadcast alerts are automatically triggered. This shift from "passive incident response" to "proactive detection" has significantly improved emergency response efficiency.
3. Case Insights: Technology Implementation and Collaborative Mechanisms
Take the 2023 international summit as an example: its security plan integrated multiple cutting-edge technologies. Around the venue, smart cameras with facial recognition and gait analysis capabilities were deployed, supplemented by drone patrols to ensure comprehensive coverage. All security personnel were equipped with smart wristbands to receive real-time instructions and location data, enabling coordinated dispatch. During the summit, the system successfully alerted on three suspicious approach incidents, all resolved within five minutes.
Another typical case is a city's bus system introducing a "driving behavior analysis" system. By installing ADAS (Advanced Driver Assistance Systems) and DSM (Driver Status Monitoring) devices on buses, the system detects fatigue driving, distracted operations, and other behaviors in real time, uploading data to a management platform. Six months after implementation, bus accident rates dropped by over 30%. This highlights that security is not only about addressing external threats but also about refined management of internal risks.
The common thread in these cases is that technology is merely a tool; the key lies in establishing a collaborative mechanism of "human defense + technical defense + intelligent defense." Security systems must integrate data links with public security, firefighting, medical, and other emergency departments to form a unified command and dispatch system, thereby truly unleashing their effectiveness.
4. Future Outlook: Resilient Cities and Proactive Security
Looking ahead, public safety will evolve towards the concept of "resilient cities"—where urban systems can quickly recover after disruptions. This requires security systems to possess adaptive and self-healing capabilities. For example, when an unexpected incident occurs in a certain area, the system can automatically adjust surrounding camera angles, mobilize backup power and communication links, and guide crowds to evacuate through safe passages.
At the same time, privacy protection and data security will become critical prerequisites for technology deployment. When using technologies like facial recognition and trajectory tracking, the principle of "minimum necessity" must be followed, and encryption and anonymization measures should be employed to safeguard citizens' personal information. The industry is exploring "privacy computing" technologies that enable joint analysis without data leaving its domain, offering new approaches to balancing security and privacy.
For security professionals, while embracing technological change, it is essential to remain clear-headed: advanced equipment cannot replace human judgment and empathy. The future of security lies in "intelligent augmentation" rather than "complete replacement"—letting technology assist humans, making decisions wiser, and cities safer.