Shenzhen XX Middle School
Real-time Psychological Crisis Alerting, Intelligent Psychological Crisis Analysis, and Campus Safety Management Platform
Leverage the campus safety management platform to integrate real-time psychological crisis alerts and intelligent analysis, dynamically monitor abnormal student behaviors and mental states, and achieve closed-loop management across pre-event warning, in-event intervention, and post-event response.
Project Background
Rising rates of mental health issues among adolescents—including depression and anxiety, alongside frequent extreme incidents—pose a severe threat to student safety. Traditional monitoring methods struggle to detect hidden risks, creating an urgent need for intelligent early warning systems to enable timely detection and intervention.
National regulations require 100% coverage of campus security across "four 100%" areas. The sector is transitioning from human-based to technology-driven protection, leveraging intelligent sensing for proactive risk alerts and shifting safety management from reactive response to preventive action.
Multiple national agencies require the establishment of an early warning and intervention system for bullying. Due to the difficulty of preventing bullying in concealed areas, intelligent technologies such as AI-powered audio sensing can detect abnormal sounds in real time, filling surveillance gaps to enable proactive alerts and real-time intervention.
Real-time Smart Crisis Alerts
The LifeGuardian product leverages the Longlin SYS-821GE-TNHR Intelligent Computing Security Analysis Server to integrate advanced technologies such as fusion video surveillance and intelligent data analytics. It enables real-time monitoring and rapid screening of student behavioral anomalies and psychological crises, ensuring dynamic oversight of potential risks. Upon detecting abnormal behavior or emotional distress, the platform immediately alerts relevant personnel for intervention, preventing extreme incidents triggered by sudden events.
1Monitoring & Analysis
Use AI behavior technology to silently identify student actions and emotional states, detect anomalies, and issue timely alerts—all without disrupting normal learning and life. 24-hour uninterrupted protection.
Emotion Recognition: Happy
Emotion Recognition: Crying
Behavior Recognition: Climbing
2Smart Alerts
Real-time anomaly and emotion detection via multimodal data analysis with auto-alerts; supports PC and mobile.
Real-time desktop alerts
Teachers can view real-time alerts for student abnormal behavior and emotional warnings via the desktop.
Real-time mobile alerts
Relevant personnel receive student alert notifications on mobile devices.
Daily Mental Health Crisis Monitoring Report
Daily View of Archived Emotion Event Generation Reports
3Exception Intervention
Establish a complete closed-loop process covering monitoring, alerting, intervention, assessment, and response. Provides intervention recommendations and tracking mechanisms.
Psychological Crisis Counseling
School counselors offer one-on-one in-person sessions.
Psychological Assessment
Scientific scale assessment for comprehensive evaluation of students' mental health
Timely handling of abnormal behavior events
Alert on abnormal behavior event received; relevant personnel to handle promptly.
4Statistical Analysis
Multi-dimensional data analysis for comprehensive insights into campus safety and student mental health.
Mental Health Data Overview
Statistical Analysis of Mental Health Status Across All Students
Person Trajectory Statistics
View student trajectory and dwell time
View Anomaly Behavior Events
The system supports viewing detailed information on anomalous behavior events.
Intelligent Psychological Crisis Analysis
Create individual student mental health profiles, perform multi-dimensional data analysis, and generate dynamic psychological risk portraits.
Psychological Crisis Profile
Overall Sentiment Distribution
Display distribution of various emotions
Emotional Anomaly Analysis
Monitor abnormal emotional fluctuations
Vitality Trend Analysis
Display trends of student status changes
Emotional Volatility and Risk Analysis
Compare volatility magnitude and direction
Trajectory Analysis
Analyze records of students' frequently visited locations
Psychological Crisis Risk Assessment
Four-Level Risk Precision Grading Management
Project Value
Core value delivered to customers
Psychological analysis for risk-level alerting
Smart security: enabling proactive management
Linked response: automatically notify security personnel.
Data fusion to enable scientific and precise decision-making
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