Airport Management Software: AI-Powered Apron Operations System
About
Today, many airports struggle with silo operations and uncoordinated processes trying to handle heavy air traffic. It often leads to errors, delays, and poor passenger experience.
The key to proper flight schedule adherence and happy customers is the digitalization of the apron. The need of the hour is an efficient system that would help automatically manage aircraft ground operations.
Challenge
Today, many airports struggle with silo operations and uncoordinated processes trying to handle heavy air traffic. It often leads to errors, delays, and poor passenger experience.
The key to proper flight schedule adherence and happy customers is the digitalization of the apron. The need of the hour is an efficient system that would help automatically manage aircraft ground operations.
Solution
Softarex has developed an Apron Management System for real-time apron monitoring and control. It collects and provides all stakeholders with up-to-the-minute accurate information about flights, equipment status, gate availability, any emerging issues, and more to ensure collaborative and data-driven decision-making and allow managers to avoid delays, congestions, and other disruptions.
The system:
- Automatically records the aircraft turnaround process;
- Checks if the turnaround time adheres to the schedule;
- Detects and tracks anomalies;
- Performs complex behavioral analysis;
- Integrates timestamps into wearables to keep ramp agents up to date with the progress;
- Identifies efficiency, safety, and security issues in real time, ensuring quick responsive actions;
- Can be integrated with the existing A-CDM.
Project Results
Our Apron Management System helps airport operators achieve:
- Real-time visibility into apron operations;
- Streamlined turnaround;
- Enhanced flight schedule punctuality;
- Proactive troubleshooting;
- Improved security and safety;
- Optimizes resource allocation;
- Reduced operational costs.
Technical challenges
- Real-time processing of video stream from multiple cameras;
- Development of AI algorithms for building adaptive maintenance plans based on actual utilization;
- Development of approaches for collecting data on various equipment using IoT and CV methods;
- Consideration of specifics of operations in the aviation industry.
Selected Projects Overview
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