Proactive Prevention

FAQ

What is active prevention? How is it different from passive response?

Active prevention is a safety management method based on AI visual analysis, which provides early warnings and interventions before security incidents occur through real-time monitoring and intelligent algorithms. Passive response relies on manual patrols and post-event video retrieval, typically intervening after an incident has happened. Active prevention emphasizes pre-incident prevention, significantly reducing the probability of incidents, while passive response focuses on post-incident handling and investigation.

How does the active prevention system identify abnormal behaviors on campus?

The active prevention system collects video streams through cameras deployed across the campus and uses deep learning models, such as convolutional neural networks, to analyze behavioral patterns in the footage. The system can identify behaviors such as intrusion into restricted areas, abnormal crowd gatherings, rapid running, people falling, and abandoned items, triggering alerts based on preset rules. For example, when an unauthorized person is detected entering a laboratory area, the system immediately notifies security personnel.

How does the Lingtong Campus Safety Smart Hub achieve active prevention?

The Lingtong Campus Safety Smart Hub integrates data from multiple cameras and processes video streams in real time through an AI visual analysis engine. It features four core functions: behavior recognition, risk prediction, coordinated response, and incident traceability. When abnormal behavior is detected, the system alerts security personnel via audible and visual alarms, SMS notifications, and pop-up messages on large screens, while automatically linking nearby cameras for tracking, achieving a closed-loop management from early warning to response.

What specific benefits can the active prevention system bring to campus safety?

The active prevention system can significantly enhance campus safety levels: 1) Real-time alerts reduce response time; 2) It minimizes blind spots in manual patrols, covering more monitoring points; 3) It optimizes security strategies through data analysis; 4) It reduces the incidence of campus violence, accidental injuries, and other events; 5) It provides a complete chain of video evidence for post-incident investigations.

What hardware and software support are needed to deploy an active prevention system?

Deploying an active prevention system typically requires: high-definition cameras (supporting night vision and wide-angle), video storage devices (NVR or cloud storage), AI analysis servers (or edge computing devices), network infrastructure, and a management software platform. Mangxu Software's Lingtong product offers an integrated hardware and software solution, supporting the reuse of existing cameras to reduce deployment costs.