Client Overview
A University in Montana, that serves thousands of students, faculty, staff, and visitors across a sprawling campus that includes academic buildings, residence halls, athletic facilities, parking areas, research centers, and public gathering spaces.
As campus security concerns evolved and the demand for proactive threat detection increased, university leadership sought an innovative solution capable of enhancing situational awareness, improving response capabilities, and maximizing the effectiveness of existing security infrastructure without significantly increasing staffing costs.
To achieve these objectives, the University partnered with SENTRYSIX International to deploy an advanced Remote Video Monitoring (RVM) program powered by Artificial Intelligence (AI) for real-time intrusion detection, weapons detection, and proactive security monitoring.
The Challenge
The University faced several security and operational challenges:
- Monitoring a large and geographically dispersed campus environment.
- Detecting suspicious activity during overnight and low-occupancy periods.
- Enhancing protection of critical infrastructure and restricted-access facilities.
- Reducing false alarms and unnecessary dispatches.
- Improving response times to emerging threats.
- Identifying potential weapons-related incidents before escalation.
- Maximizing existing surveillance investments.
- Providing 24/7 monitoring without significantly expanding personnel resources.
University leadership required a proactive security solution capable of identifying threats before incidents occurred while maintaining a safe and welcoming campus environment.
SENTRYSIX Solution
SENTRYSIX designed and implemented a comprehensive AI-driven Remote Video Monitoring program centered around its Advanced Real-Time Intelligence Center (ARTIC).
The solution integrated:
- Existing campus surveillance infrastructure
- Advanced AI analytics
- Real-time remote monitoring
- Intrusion detection technology
- Weapons detection capabilities
- Incident verification protocols
- Law enforcement notification procedures
- Emergency response coordination
The result was a layered security ecosystem capable of continuously monitoring critical areas across campus.
AI-Powered Intrusion Detection
Using advanced machine-learning algorithms, SENTRYSIX deployed AI technology capable of distinguishing between routine activity and potentially suspicious behavior.
The system continuously analyzes video feeds for:
- Unauthorized access attempts
- After-hours trespassing
- Loitering behavior
- Perimeter breaches
- Restricted-area entry
- Vehicle intrusion events
- Suspicious movement patterns
Unlike traditional motion-based surveillance systems, AI-driven analytics significantly reduced false alarms caused by wildlife, weather conditions, shadows, and routine environmental activity.
When suspicious activity is detected, alerts are immediately transmitted to ARTIC operators for verification and response coordination.
Advanced Weapons Detection Technology
A key component of the deployment involved AI-powered weapons detection capabilities.
The system continuously scans video streams for visual indicators consistent with:
- Handguns
- Rifles
- Long guns
- Brandished weapons
- Threat-related behaviors
Upon detection, alerts are automatically prioritized and escalated for immediate review by ARTIC personnel.
The weapons detection program provided:
- Early threat identification
- Accelerated situational awareness
- Improved response coordination
- Enhanced officer safety
- Faster emergency notifications
This capability strengthened the University’s preparedness posture against potential acts of violence and other critical incidents.
Advanced Real-Time Intelligence Center (ARTIC)
All monitored video feeds were integrated into SENTRYSIX’s Advanced Real-Time Intelligence Center (ARTIC), providing 24/7 oversight and incident management.
ARTIC personnel are responsible for:
- Live alarm verification
- Video analysis
- Incident documentation
- Threat assessment
- Dispatch coordination
- Escalation procedures
- Law enforcement notifications
- Emergency communications support
By combining AI-generated alerts with human verification, SENTRYSIX created a highly reliable monitoring environment capable of rapidly distinguishing genuine threats from non-critical events.
Operational Response Framework
The program established a structured response process designed to maximize effectiveness while minimizing unnecessary emergency responses.
Upon detection of a verified event:
- AI analytics identify suspicious activity.
- ARTIC operators immediately review live video.
- Threats are classified according to severity.
- University stakeholders are notified.
- Campus security personnel are dispatched when appropriate.
- Local law enforcement is contacted for criminal or life-safety incidents.
- Incident reports and video evidence are archived for investigative purposes.
This framework significantly improved incident management and response coordination across campus.
Performance Results
Following implementation, the University experienced measurable improvements in campus security operations.
Key Performance Indicators
- 24/7 monitoring coverage across critical campus locations.
- More than 95% reduction in nuisance and false alarm dispatches through AI-assisted verification.
- Average threat verification times reduced from minutes to seconds.
- Significant increase in detection of after-hours unauthorized access activity.
- Improved visibility into campus-wide security events.
- Enhanced emergency response coordination through real-time intelligence sharing.
- Expanded security coverage without proportional increases in staffing requirements.
Technology Performance
- Continuous monitoring of multiple campus facilities simultaneously.
- Real-time AI analysis of surveillance footage.
- Automated threat prioritization.
- Rapid weapons detection alerting capabilities.
- Improved incident documentation and evidence preservation.
Impact
The University Security program demonstrates how artificial intelligence can transform traditional surveillance systems into proactive security tools.
By combining advanced AI analytics, weapons detection technology, human intelligence, and real-time monitoring, SENTRYSIX created a force-multiplying solution that enhanced campus safety while improving operational efficiency.
The deployment provided university leadership with greater visibility into potential threats, increased confidence in emergency response capabilities, and strengthened the institution’s overall security posture.
Conclusion
The University’s partnership with SENTRYSIX highlights the future of campus security. Through the strategic integration of AI-powered intrusion detection, weapons detection analytics, and 24/7 remote monitoring, SENTRYSIX delivered a proactive security solution capable of identifying threats earlier, improving response effectiveness, and helping create a safer environment for students, faculty, staff, and visitors.
The project serves as a model for how higher education institutions can leverage emerging technologies to enhance security while maximizing existing resources and infrastructure.
