Airport Aircraft Rapid Matching System

This document describes an airport aircraft rapid matching system. The implementation leverages predefined aircraft templates to achieve fast identification and positioning through template matching techniques. The system workflow can be further examined as follows: First, the program acquires real-time airport data through API integrations or sensor networks, containing critical information such as current aircraft positions, destinations, aircraft models, and additional metadata. Subsequently, the system applies template matching algorithms - potentially using computer vision techniques or feature-based comparison methods - to identify and match each aircraft against the known template database. Following successful matching, the program validates each aircraft's position and destination through verification algorithms that may include GPS coordinate validation and flight path consistency checks. Upon successful verification, the system returns detailed aircraft information including model type, flight number, route specifications, and other relevant data. The rapid matching capability, possibly optimized through parallel processing or machine learning enhancements, enables airport management personnel to improve aircraft traffic management, enhance operational efficiency, and facilitate smoother passenger travel experiences.