Computex 2018 : Intel 邊際運算戰略先鎖定視覺應用,藉 OpenVINO 工具套件提升推論效率

2018.06.07 03:22PM
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畢竟電子產業醞釀 AI 風暴,同時這股趨勢也從雲延燒到端,就連物聯網現在也開始探討邊際運算與 AI 應用,而 Intel 在 Computex 也針對邊際運算的視覺智慧舉辦說明會。

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Intel 也不忘強調他們不僅是 AI 技術的領導廠商,同時從雲到 IoT 終端,提供包括 CPU 、 Movidius VPU 、 FPGA 等解決方案,從訓練到推理不同規模的應用,提供最佳效率的架構;而 Intel 看好視覺運算在邊際運算的潛力,鎖定如產線檢測、庫存管理、遠端廠房監控、智慧城市、公共安全等需使用機器視覺運算的領域,以相關的彙整與分析作為其視覺運算重點。

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除了提供硬體方案外, Intel 也強調甫於 AIDC 大會正式公佈的開放視覺推論與類神經網路最佳化工具套件 OpenVINO ,這項結合深度學習的工具可解放 Intel 硬體性能,相較 OpenCV 、 OpenCL 更具效率,同時支援包括 nGraph 、 mxnet 、 Caffe 、 EensorFlow 等 API ,使 Intel 的 CPU 、整合型 GPU 、 FPGA 、 VPU 等硬體藉由支援深度學習,強化推論性能,也不忘宣導藉由 OpenVINO , Intel 的方案可較 GPU 、嵌入式平台等相較價格的硬體更具性能價格比。

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以車流影像的即時偵測為例,基於同樣的 Intel i7 處理器的 NUC 平台,利用 OpenCV 約能進行 10fps 的偵測,但若改用 OpenVINO 則可超過 30fs ,顯示 OpenVINO 更能有效發揮硬體效能。

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目前 OpenVINO 也已經被多家業界合作夥伴導入,其中包括 GE Healthcare 將其用於醫療影像,台灣的 QNAP 則用於 NAS 內的照片的智慧分類等;目前 OpenVINO 僅支援 Intel 硬體架構,不過未來將進行開源,若開發者有意亦可搭配其它的處理器、加速器等硬體使用,但開源後 Intel 仍只會針對自家硬體架構進行最佳化。

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