Artificial Intelligence
College Security Strategy: General Planning, Sub-advancement
The construction of a university security system typically encompasses several key components, such as the entrance and exit vehicle management system, video surveillance system, integrated video surveillance with barrier-gate alarm systems, access control for dormitory areas, monitoring and access control in cafeteria zones, electronic fence systems combined with perimeter video linkage, a technology and practical application platform, a campus card system, and environmental monitoring and alarm systems for power and water supply equipment.
Video Surveillance: Strategic Layout and Dedicated Network
Today, video surveillance remains one of the most effective tools for ensuring campus safety. It covers critical areas like entrances and exits, dormitory buildings, libraries, cafeterias, perimeters, and open public spaces. However, open-air areas often face challenges due to high traffic, complex road layouts, and difficulty in camera placement, leading to incidents like thefts and vandalism.
Many campuses have already installed cameras, but issues such as poor image quality, limited dynamic range, unclear details, blind spots, and insufficient maintenance remain common. To address these, high-definition cameras can be strategically placed, with narrow-angle lenses used in tight spaces like entrances and corridors, while wide-angle lenses are better suited for larger areas like plazas and sports fields.
The transmission of HD video data demands a dedicated security network that operates independently from the existing educational network to ensure smooth and secure data flow. This setup not only improves efficiency but also enhances overall system performance.
Access Control: Unified CPU Card System
To enhance the management of different campus areas, many universities have started implementing access control systems in places like entrances, dormitories, and cafeterias. Each subsystem is designed for specific user groups, but a centralized system allows for more efficient management.
The author suggests consolidating multiple cards into a single CPU card, with different functional sectors assigned to various access levels. In the age of big data, this card can provide valuable insights into students’ daily routines—such as meal times, library visits, and dormitory access—helping institutions better understand and support student life.
Vehicle Management: Dual Barriers with License Plate Recognition
Unlike commercial buildings or shopping centers, universities do not charge for parking, and ground-level parking is the norm. With part-time teaching schedules and seasonal fluctuations, managing off-campus vehicles becomes a challenge.
A dual-barrier system combined with license plate recognition helps maintain control. The first barrier uses card readers, allowing both temporary and campus cards to pass. The second barrier employs automatic license plate recognition, granting access to registered vehicles while recording others for future reference. During part-time hours, the system remains active, capturing all vehicle movements for later analysis.
This system requires integration between barriers, card readers, and license plate recognition devices. Choosing compatible hardware ensures seamless operation, and remote access capabilities allow for real-time monitoring and data retrieval.
Facial Recognition and Intelligent Behavior Analysis
Some universities have begun using facial recognition at classroom entrances and dormitory gates. While it offers convenience, it also raises concerns about accuracy and privacy. Current facial recognition technology is still affected by lighting, appearance, and makeup, resulting in higher false alarm rates compared to fingerprint or hand recognition.
To improve reliability, the author recommends a distributed architecture where access control, surveillance, and facial recognition operate independently. Monitoring data is sent to a central server for background analysis, ensuring that even if one device fails, the system remains functional. Integrating facial recognition with proven technologies enhances the intelligence and responsiveness of the entire security framework.
Building a Technical Defense Application Platform
Many security companies offer their own platforms, but they often suffer from complexity, poor integration, and instability. Universities should choose platforms based on real-world success, stability, and ease of integration.
A loosely coupled approach allows for easier system expansion and compatibility with future technologies like cloud computing and big data analytics. By integrating different subsystems, sharing information securely across networks, and leveraging advanced technologies, universities can create a unified, intelligent security environment.
This platform should align with academic operations, adapt to technological advancements, and support comprehensive data analysis. Insights like student behavior patterns, user feedback, and potential collusion can be derived through big data mining, enhancing decision-making and campus management.
In conclusion, building a modern university security system requires careful planning, integration of advanced technologies, and a focus on long-term scalability. By addressing security, accessibility, and data utilization, universities can create a safer, smarter, and more connected environment for students and staff.
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