為邊際裝置挹注獨立機器視覺與 AI 技術, Intel 以 Movidius 、 Arria FPGA 協 OpenVINO 軟體攜手台灣產業建構生態鏈

2018.10.23 01:39PM
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在邊際裝置的人工智慧應用,機器視覺是當前強烈使用到 AI 技術的應用,舉凡從安全監控,生物安全,工業自動化,新零售到輔助駕駛系統,都在強調結合 AI 與機器視覺帶來的龐大效益,但若透過伺服器,除了部屬複雜外,網路傳輸導致的延遲也難以應對瞬息萬變的邊緣裝置應用,故邊際運算技術也日益重要, Intel 也藉由今日在台舉辦 IoT 研討會活動,展示其人工智慧與機器視覺的邊際解決方案。

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為了滿足邊際運算的需求,不僅只是需要提供充沛的性能,也需要兼具功耗, Intel 將 Movidius 視覺晶片以及 Arria FPGA 做為戰略產品,同時也標榜可藉由 OpenVINO 軟體堆疊提供從雲到端的開發環境一致性。

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Intel 強調, Movidius 視覺晶片與 Arria 10 FPGA 相較當前機器視覺主流的 GPU ,具備更高的經濟成本效益, Arria FPGA 有不遜於 GPU 的性能表現,但功耗更低、並可做為半高卡( Low-Profile ),同時價格亦比 GPU 經濟實惠。

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而 Movidius 則為針對機器視覺的 AI 晶片,具備小巧、省電但可提供極佳的影像加速處理能力,並可從 PCIe 卡到 miniPCIe 甚至 m.2 卡型態,能融入各類基礎設施的型態當中,也有助於將現行各種型態的機器視覺應用主機搖身一變成為結合 AI 的機器視覺主機。

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Intel 也強調台灣與其有著深厚的淵源,在此次所介紹的 Movidius 與 Arria 10 FPGA 解決方案當然也不例外,台灣多家工業控制大廠紛紛推出不同的 Intel 機器視覺解決方案模組,為相關客戶提供基於 AI 的機器視覺邊際運算解決方案。

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除了硬體外,軟體也是 AI 產業相當重要的資源, Intel 當然也不敢輕忽其重要性,除了如專屬於 Movidius 的開發工具外,也藉由開源的 OpenVINO 提供從 CPU 、 GPU 、 FPGA 等一致性開發工具,同時可支援豐富的深度學習框架。

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可說 Intel 現在也為了 AI 在當前產業的發展,卯足了勁想要在市場佔有一席之地,同時扭轉在各領域結合 AI 的機器視覺多為 GPU 所佔據的局面; Intel 也期許藉由這些軟硬體的組合,能夠搶食智慧城市、工業自動化、新零售等強烈需要邊際運算與機器視覺的市場。

 

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