Digital Apron Management, also known as Virtual Ramp, Digital Ramp, or Virtual Apron, is a system that replaces traditional physical apron control towers with augmented video views of the airside environment. By seamlessly integrating multiple camera feeds and video analytics, it provides apron controllers with enhanced situational awareness, streamlines operations, and reduces workload and complexities for all stakeholders involved in apron management.
Explore more about the innovative solutions Searidge Technologies showcased at the Airport Show in Dubai. These solutions seamlessly integrate into existing systems, offering real-time insights and automation to improve airport operations. Dive deeper into each product to understand its role in transforming airport operations and shaping the future of airfield management.
Chorus: Airside Digital Platform
Chorus brings together data from every corner of the airport ecosystem into a single, customizable platform designed to enhance situational awareness, streamline operations, and empower smarter decisions.
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Airfield Insights
Airfield Insights is a powerful digital twin solution that transforms airfield activity into actionable insights through interactive maps and data visualizations, helping airports optimize performance and build future resilience.
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Smart Stand
Smart Stand is a computer vision-based solution that automates and digitalizes aircraft turnaround management, enabling real-time tracking of turnaround activities to improve on-time performance, reduce delays, and enhance operational efficiency through predictive insights and stakeholder collaboration.
Learn MoreAimee (AI)
Aimee is Searidge’s AI-enabled platform that uses machine learning and computer vision to deliver intelligent airport operations, supporting situational awareness, automation, and decision-making.
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Traffic Light Automation (TLAS)
The Traffic Light Automation System (TLAS) uses AI to monitor and control traffic at road/taxiway crossings, alerting vehicles to stop or proceed based on aircraft position data, with operators able to manage crossings remotely through manual, semi-auto, or fully automated modes.
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