METHOD FOR PROVIDING CLOUD-BASED INTELLIGENCE REMOTE SECURITY CONTROL SERVICE USING DEEP LEARNING TECHNIQUE

摘要

The present invention relates to a method for providing a cloud-based intelligence remote security control service using deep learning technique. The present invention develops an intelligence security control solution having high reliability through a clouding system and a learning type deep learning security control technique using an IoT sensor and a professional monitor. The present invention provides a prevention function centered advanced security monitoring system which may determine security and safety related situations occurring simultaneously in various places in real time in a control center to immediately respond to the same. While an existing unmanned security system is a post-response system in which dispatchers are directly dispatched to a site to determine and respond to a situation when a sensor is abnormal, the present invention is a precautionary system to determine and process issues occurring in a site in real time. The present invention proactively introduces unmanned service to security and facility management service industry where service is still provided mainly by human in contrast to a trend in which an automation system remotely controlling simple tasks in a control center such as access control, parking guidance, and facility inspection having required security guards is spreading throughout alternative industry.;COPYRIGHT KIPO 2019