IoT Human Accident Prevention System and Method using IoT-based Deep Learning

Disclosed are a human accident preventing system using IoT-based deep learning and a method thereof. The human accident preventing system using IoT-based deep learning comprises an IoT module, a wearable module, a router, and a deep learning server. Collected information of a worker is analyzed in d...

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Bibliographische Detailangaben
Hauptverfasser:	LEE TACK LIM, LEE SANG HYEON, KIM SEUNG MIN, LEE CHANG MOO, PARK SE HYUN
Format:	Patent
Sprache:	eng ; kor
Schlagworte:	ALARM SYSTEMS CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ORDER TELEGRAPHS PHYSICS SIGNALLING SIGNALLING OR CALLING SYSTEMS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	Disclosed are a human accident preventing system using IoT-based deep learning and a method thereof. The human accident preventing system using IoT-based deep learning comprises an IoT module, a wearable module, a router, and a deep learning server. Collected information of a worker is analyzed in deep learning, so that the health of the worker can be managed in real time and accident causes can be analyzed in detail. IoT 기반 딥러닝을 이용한 인적사고 방지 시스템 및 방법이 개시된다.