Smart Elevator with Unsupervised Learning for Visitor Profiling and Personalised Destination Prediction

2021 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)(2021)

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摘要
Elevator manufacturing companies make great effort to provide better user experience and to reduce elevator waiting time. Deep learning for visitor profiling offers more options for personalised service and enables the elevator to learn about its usage. In this paper, we present a solution that integrates conventional elevator with facial recognition, voice assistant and unsupervised learning and ...
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关键词
Person tracking,machine learning,smart elevator,facial recognition,voice assistant
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