A major U.S. airport needed a smarter way to manage growing passenger volumes and vehicle traffic while maintaining high security standards. Long lines, terminal congestion, and limited visibility into real-time activity created operational bottlenecks and security risks.
Gorilla Technology delivered an edge AI-powered surveillance and analytics solution that unified camera and sensor data, optimized people and vehicle flow, and enhanced threat detection. The result: smoother operations, faster response times, and a safer airport experience for all.
Case Studies
The Challenge
01
Managing Movement in a Busy Hub
The airport faced challenges on multiple fronts: long queues at airline counters, traffic congestion at drop-off zones, and the need for constant vigilance against security threats. Traditional systems lacked the intelligence and integration to address these issues holistically.
02
Need for Real-Time, Scalable Intelligence
The airport required a solution that could process data at the edge, reduce latency, and provide actionable insights in real time – without overloading central systems.
Case Studies
Our Solution
Edge AI for Unified Surveillance
Gorilla deployed an edge AI management platform that connected and processed data from a wide network of cameras and sensors. This decentralized approach enabled faster analytics and reduced system strain.
Facial Recognition and People Counting
Video analytics were used to monitor passenger flow, detect suspicious behavior, and track lost items. Facial recognition helped streamline operations and improve situational awareness.
Vehicle Detection for Traffic Management
AI-powered vehicle analytics monitored road activity around terminals, helping reduce congestion and improve traffic flow during peak hours.
Case Studies
Results & Impact
Smarter Operations, Safer Spaces
Airport staff were empowered with real-time insights into people and vehicle movement. This improved decision-making, reduced delays, and enhanced the overall passenger experience.
Enhanced Threat Detection
The integrated system provided a more robust security posture, enabling faster identification of potential threats and more efficient incident response.
Case Studies
Key Takeaways
Edge AI platform unified camera and sensor data for real-time insights.
Facial recognition and people counting improved passenger flow and security.
Vehicle detection analytics reduced congestion at terminals.
Faster threat detection enhanced airport safety and responsiveness.
Scalable solution ready for future expansion and smart airport initiatives.