Apron System
Aprons in airport movement areas are high-risk zones for ground operation safety, with dense flight takeoffs and landings, frequent shuttles of service vehicles including baggage tractors, catering trucks and cargo vans, as well as cross-flow of maintenance and ground handling staff. Traditional manual patrols bring many management pain points such as massive blind monitoring zones, delayed detection of irregular operations, inability to globally track vehicle and personnel trajectories, and difficulties in evidence collection for safety incidents, which may easily lead to ground safety accidents including vehicle scratches, staff collisions and non-standard operations.
Our company independently develops a three-dimensional detection system for airport movement area aprons. Supported by a full set of IoT sensing hardware including radar-video integrated devices, edge intelligent gateways and vehicle-mounted processing terminals, the system integrates 3D digital twin, GIS geographic positioning, AI visual recognition and video streaming technologies to build an integrated intelligent safety monitoring platform covering all apron stands of the terminal.
Operating 24/7 to identify service vehicles and maintenance staff on the apron, the system automatically captures violations such as missing wheel chocks, lack of guiding gestures by maintenance crew, driver fatigue and vehicles with unremoved keys, and sends real-time early warnings. Equipped with six core capabilities including global situation overview, vehicle & personnel trajectory tracking, real-time video monitoring, historical video playback and hierarchical management of all equipment, it realizes full closed-loop safety management: intelligent pre-warning before incidents, real-time visual monitoring during operations and multi-dimensional traceability & evidence collection after accidents. The system fundamentally reduces the occurrence of apron ground safety incidents and facilitates the digital, intelligent and compliant upgrading of ground operation management in airport movement areas.
関連事例
Artificial Intelligence - Intelligent Vision Algorithm Analysis
This platform is a visual demonstration and analysis system integrated with multiple computer vision AI algorithms, developed for urban security and public scene supervision. It integrates four major algorithm systems: perimeter detection, pedestrian recognition, human face & body analysis, and intelligent behavior judgment. The system conducts full-dimensional visual analysis on real-time video streams, including pedestrian detection, high-rise object throwing recognition, crowd density statistics, facial feature capture, gait recognition, as well as intelligent identification of abnormal behaviors such as crowd gathering, fighting, self-harm risk, smoking and emotional recognition. Quantitative analysis data and visualized results are output in real time. The platform intuitively demonstrates the practical application effect of AI vision algorithms, applicable to intelligent video supervision in smart cities, commercial blocks, streets, cultural events and other public scenarios, and provides intelligent technical support for security patrol, crowd management and risk early warning.
某地域の菜種産業頭脳
油菜産業ブレインは、県域の特産油脂作物産業向けに構築された、全チェーンをカバーするスマート管理プラットフォームです。モノのインターネット、AI 大規模モデル、デジタルツイン技術を融合し、ナタネの品種選抜、種子管理、栽培生産、加工・貯蔵、市場販売、産業サービスの6つの主要工程を対象に、田んぼから市場に至るまでの全プロセスをデジタル管理します。AIによる病害虫識別、気象・害虫警報、農事アドバイスなどの機能を搭載し、政府の監督管理や生産主体の活動にスマートな支援を提供することで、ナタネ産業の品質向上、効率改善、リスク制御を促進します。