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逆境防疫 友通智能解決方案

逆境防疫 友通智能解決方案

硬時代研討會

6/6/2020 7:41:07 AM

防疫解決方案

熱感應解決方案

人力消耗戰:體溫測量及維安把關

COVID-19的防疫抗戰,促使了檢疫設備的需求大增,同時更多人力也被迫投入在出入口的體溫量測。為解決此困境,DFI近期推出「全方位智慧熱感防疫系統」,智慧化多入口檢測與門禁,大量人員出入也不費額外人力。

同時檢測優化人流

針對大型場所如機場、各大車站的多點出入監測,DFI主打高規方案,只需單台攝影機,即可支援多區同步偵測與各區體溫顯示,大大提升辨識的效率、確保人流順暢不壅塞。

疑似感染者後續追蹤

藉由熱感、IP二合一的攝影機,在疑似發燒者經過時,系統能直接擷取熱感與實際畫面、標記溫度、並即時通報監控人員前往處理。結合人臉辨識系統及資料庫的建立,更能使後續追蹤 疑似感染者效率大增。

接軌未來趨勢

此系統未來將結合各項科技、支援全方位應用,例如維安監控的人臉辨識,發展為完整的安全防護網,不僅能解決短期內的防疫需求,更是接軌智慧城市舉足輕重的一步。

全自動熱感檢測結合門禁,全靠DFI尖端IPC

一步到位:偵測、紀錄、警報、與隔絕發燒案例

「全方位智慧熱感防疫系統」透過軟硬體整合,結合DFI的高效能IPC 及艾陽科技的訊號擷取技術,可以直接控制門禁,封鎖電子閘門、拒絕出入、並將發燒人員隔離在外。

如需了解更多次方案的詳細資料,歡迎下載相關文件。

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使用者手冊
下載 iMage-E 使用者手冊
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Smart Factory

What If Your Business Can Not Just Get By?

The design of conventional factories where production units are highly single-purposed and rely on additional treatments has been gradually obsoleted by automation. Only by optimizing computing cores for the added services can the yield rate live up to the level of the AIoT future, which does not necessarily lead to a total makeover for the factories. The one major goal of DFI's AIoT solution is to cut the corners by adopting the latest computing platforms and software technologies seen in Smart Factories, all the while keeping your legacy production lines intact.

Bridge Legacy to the Future

Factories dread an upgrade not because the machines are worn, but because the renewed IPCs, OS environments, and software integrations lack backward compatibility. It's a valid concern, but it's not always true. DFI's IPC refresh plan combined with Intel hypervisors makes sure all the legacy configurations and data processing flows are migrated effortlessly. With legacies on board, the AIoT facets then come into play - now that new-gen computing resource is embedded, automated processes and intelligence can be implemented on top to further optimize manufacturing efficacy.

Less But More: Multi-Platform Consolidation

Defect rates of multiple machines on the product line may multiply due to their physical separation, and these machines based on separate OS environments may each require its own IPC, abusing synchronization and maintenance efforts. With DFI's computing excellence, these platforms can all be consolidated onto one single physical IPC using Intel ACRN™ Hypervisor VMware technology. By virtually dividing resources into multiple areas, different OS platforms are able to be simulated on one IPC to tackle multiple operations, for example, Robot ARM on RTOS, HMI on Windows, and AOI on Linux, breaking the boundaries between various purposes.

Machine Learning to Evolve

Facial recognition, object detection, and quality verification that base on machine vision rely not solely on hardware computing capacity such as CPU and GPU, but also on the integration with learning mechanisms. Conventional architectures of IPCs were not designed to tackle the hunger for machine learning in an AI future, not until the engines became market available, such as Intel's OpenVINO™ deep learning optimizer. The toolkit uses trained models to optimize hardware execution for syncing with specific frameworks used by different applications, pushing the curve of computer learning onto an exponential growth.

Intel-Endorsed Blueprint

In alignment with Intel's vision, DFI has been zoning in on designing comprehensive solutions that foresee AIoT and AI ubiquity. Since smartization of high-end factories is an inevitable future, IPC refresh and the incorporation of Intel's latest roll-outs will be one of the pillars in the success of Smart Factories.

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