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復亞智能AI感知算法平臺 復亞智能AI感知算法平臺

復亞智能AI感知算法平臺

模擬人類視覺的感知能力并疊加后置計算，實現動態無人機視野下的實時目標識別與分析。大幅提升無人機巡查效能，賦能城市低空運營。
平臺優勢
復亞AI感知算法平臺，通過智能調度資源豐富的算法庫，搭配和業務緊密關聯的后置計算，解決業務切實的需求。
算法資源豐富深度匹配業務需求

算法資源豐富
深度匹配業務需求

集成大量的感知算法，深度解析各行各業的需求實現專業化的識別與計算
智能綜合管控快速精準識別

智能綜合管控
快速精準識別

便捷生成感知任務，通過算法平臺智能調度與管控，實現精準的、低延遲的目標識別
疊加賦能計算實現價值創造

疊加賦能計算
實現價值創造

根據業務需求，疊加更多的計算功能，實現多維度，更深入的數據分析與判斷，創造大量的業務價值
平臺架構
復亞AI感知算法平臺，由復亞云平臺，算法服務器，視頻服務器及文件服務器組成。支持第三方平臺API對接、私有化部署，具備高可靠性。
平臺架構
用戶登錄至云平臺后，可以通過 云平臺 進行算法配置，再由 算法服務器 進行分析處理。
實時識別結果，將由 視頻服務器 直接推流到云平臺進行實時 結果展示。
離線識別結果將獨立的存儲在 文件服務器，并向云平臺同步識別結果，以便任務報告生成。
平臺能力
從實際業務出發，兼顧作業效率和控制便捷性，滿足行業精準化自動巡查作業需求。

目標存在性識別

感知算法可以對場景中的目標物體建立對應的模型，當無人機掃描到對應模型時，會進行存在性判斷。

公安：車輛..

水利：船、排污口..

電網：桿塔、絕緣子..

消防應急：火災識別..

目標存在性識別

目標特征性識別

目標特征識別則會細化分析目標物的特征要素。感知算法會將滿足目標模型，并且滿足對應的特征要素的目標物，進行識別與標記

人臉識別

氣體濃度識別

缺陷識別

動作姿態識別

目標特征性識別

目標識別與計算

目標識別與計算是在目標物被識別后，對其數量、速度等可以量化的部分進行計算，以更深層次的解決業務問題

數量計算

趨勢計算

進度計算

速度計算

目標識別與計算

目標場景識別

場景識別是對上述三種識別的綜合性判斷，會在特定的環境下，對目標進行識別，再對其特征或者量化數據進行判斷，得到場景識別結果

人群聚集識別

違法操作識別

目標場景識別
行業應用
復亞AI感知算法平臺覆蓋公安、交通、水利、城市管理、應急、消防等8個領域，數十種算法，支持定制開發。
交通
電網
水利
應急

交通行業目前較多的運用了路面監控的方案，但是可能產生識別覆蓋范圍有限，夜間識別困難等問題。如果利用無人機進行專業的感知識別，不僅能夠解決現有的問題，還能大大降低人力需求

在電網行業，無人機可以針對該行業的各類部件，例如絕緣子、電線桿等，通過感知算法進行智能識別，如果出現松動、脫落、溫度異常等，可以進行拍照、告警等多種處理措施

水利行業可以通過無人機捕捉、檢測湖面的漂浮物、排污口等，讓各類水域的監管、檢測工作等變得更加“智能化”

應急行業的識別場景往往是危險的，或者難以快速進行肉眼判斷的。無人機的感知可以通過高空視野，快速識別災情現象，判斷災情趨勢，為應急人員提供更多的技術支持

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