A national museum, custodian of over 10,000 priceless artifacts, faced mounting challenges in securing its sprawling galleries and managing visitor flow manually. Gorilla Technology partnered with the museum to deploy a unified, AI-driven surveillance and analytics platform.
By integrating intelligent video analytics and automated alerts across four major exhibition halls, the museum achieved a reduction in manual monitoring efforts, cut vandalism attempts, and optimized crowd management – dramatically improving both artifact protection and guest experience.
Case Studies
The Challenge
01
Fragmented Monitoring, Overstretched Staff
With security guards relying on manual patrols and isolated CCTV feeds, blind spots in coverage left irreplaceable relics at risk. Simultaneously, high foot traffic during peak hours created congestion that strained both staff and visitors.
02
Risk and Urgency
Past incidents of loitering and minor vandalism underscored the urgent need for a proactive system. Failure to modernize posed a hazard to artifacts and a liability for the museum’s reputation.
Case Studies
Our Solution
Centralized Smart Surveillance
Gorilla Technology connected disparate camera networks, indoor and outdoor, into one AI-powered dashboard. Real-time monitoring and incident tagging let security teams spot unauthorized access, long dwell times, or potential tampering the moment they occurred.
People-Counting & Crowd Control
Advanced analytics tracked visitor volumes in each hall, triggering automated alerts when thresholds were exceeded. This enabled staff to reroute traffic, prevent bottlenecks, and maintain a smooth, safe flow without stopping the tour.
Automated Threat Alerts
Leveraging machine learning models, the system distinguished normal behavior from suspicious activity—sending instant notifications (via SMS and on-screen pop-ups) for intrusions or abnormal motion patterns. A brief pilot anecdote: when a visitor lingered unusually near a 19th-century relic, the team intervened before any damage occurred.
Case Studies
Results & Impact
Fewer manual patrol hours
Security personnel redirected time from routine checks to strategic oversight.
Drop in vandalism attempts
Early detection and response thwarted incidents before escalation.
Enhanced visitor satisfaction
Crowding-related complaints fell, and average dwell times improved, boosting ticket revenues.
Scalable & future-proof
The modular design allows easy integration of additional analytics modules—heat mapping, facial recognition—for next-phase upgrades.
Case Studies
Key Takeaways
Unified visibility: Centralized AI monitoring eliminates blind spots and streamlines security operations.
Proactive threat detection: Automated alerts empower staff to intervene before incidents escalate.
Optimized visitor flow: People-counting analytics ensure safe, enjoyable museum experiences.
Tangible ROI: Significant reductions in manual labor and incident costs pay for the solution within months.
Built to grow: Scalable architecture supports future analytics and security enhancements.