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AIアルゴリズム・エージェント

AI Agent (Artificial Intelligence Agent) is an AI program capable of autonomous perception, reasoning, planning, execution and iterative learning. Unlike conventional general large language models that only respond to single instructions, it can independently break down complex tasks, call various tools and accomplish goals step by step without humans issuing instructions one by one

AIアルゴリズム・エージェント

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Artificial Intelligence - Intelligent Vision Algorithm Analysis

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.

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某地域の菜種産業頭脳

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。

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Apron System

Apron System

Airport aprons feature intensive flights and mixed flow of vehicles and staff, while traditional manual patrols suffer blind monitoring areas, delayed violation disposal, untraceable trajectories and difficult accident evidence collection. Our self-developed apron 3D detection system adopts radar-video integrated IoT hardware, combined with digital twin, GIS and AI vision recognition to build a full apron intelligent safety platform. Identifying vehicles and personnel round-the-clock and alerting violations automatically, it integrates situation overview, trajectory tracking, video playback and equipment hierarchical management to form a closed-loop safety management system covering pre-warning, real-time monitoring and post-event traceability, cutting ground accidents and realizing intelligent compliant airport ground operation.

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