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AI視頻人員行為及場景風險分析

方案概述：

針對工業(yè)企業(yè)進行人員違規(guī)行為、設備運行異常、不安全場景監(jiān)測的需求，如人員抽煙、打電話、不帶安全帽、不穿工作服、區(qū)域禁入、長時間離崗、風門開關狀態(tài)監(jiān)測、皮帶異常監(jiān)測、井口風險識別等場景，本方案擬采用流媒體處理技術、深度學習圖像處理技術、深度學習框架構建、神經(jīng)網(wǎng)絡算法建模、參數(shù)優(yōu)化、模型量化、網(wǎng)絡編程等核心技術進行AI視頻分析系統(tǒng)框架設計，實現(xiàn)對前端視頻流的讀取解析，并采用神經(jīng)網(wǎng)絡算法模型完成對視頻圖像中關鍵場景、行為、目標物的檢測識別，為業(yè)務管理提供數(shù)據(jù)反饋。并將檢測結果在軟件前端進行可視化展示，為業(yè)務端提供一種可靠的檢測監(jiān)控手段。為企業(yè)的安全預防監(jiān)測及異常事件的管控提供強有力的技術手段，避免企業(yè)安全事故的發(fā)生及財產(chǎn)的損失。

應用架構：

建設成效：

基于AI視頻分析技術，構建企業(yè)智能化視頻分析系統(tǒng)，為企業(yè)的安全預防提供技術手段與保障，高效、穩(wěn)定的為企業(yè)的安全防控提供支撐，避免企業(yè)安全事故的發(fā)生，提升企業(yè)的安全管控與防控能力。

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