Internet Video Based Cloud Multisensor Fusion for Remote Services

Abstract

This paper proposes integrated video techniques, cloud computing, and multisensor data fusion for remote services over Internet. The proposed remote service approach includes three levels of different remote diagnoses: Level (1): Video and audio interaction between customer and remote service sites; Level (2): Signal and data collection from customer to remote service sites; and Level (3): Multisensor data fusion at cloud computing server. The proposed remote services have been successfully tested and evaluated for its performance: (1) 85% of technical manpower saving, (2) 90% of service response time saving, (3) 60% of maximum time to recovery (MTTR) saving, and (4) 95% of service cost saving. In the near future, we intend to implement automated diagnosis and repairing suggestion mechanism to further improve the efficiency of technical manpower of the proposed remote diagnosis and maintenance cloud platform.