L
Li Shuang
Publications - 12
Citations - 27
Li Shuang is an academic researcher. The author has contributed to research in topics: Record locking & Terminal (electronics). The author has an hindex of 3, co-authored 12 publications receiving 27 citations.
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Patent
Staff attendance checking and health prompting system based on smart cushion
TL;DR: In this paper, a staff attendance checking and health prompting system based on a smart cushion is presented, where the cushion is placed on an office chair and the pressure sensor and the vibration sensor are connected to a single-chip microcomputer control module through corresponding A/D converters.
Patent
Sharing bicycle security system based on internet of things and security method thereof
TL;DR: In this paper, a sharing bicycle security system based on the internet of things and a security method thereof is presented. But the system is not suitable for the use of bicycles in public.
Patent
Intelligent campus bicycle management system based on Internet of Things
TL;DR: In this article, an intelligent campus bicycle management system based on the Internet of Things (IoT) is proposed. But the system is not suitable for the management of large numbers of bicycles in a campus environment.
Patent
Wisdom campus bicycle management system based on thing networking
TL;DR: In this article, a wisdom campus bicycle management system based on thing networking, including a plurality of bicycles, backstage terminal and smart mobile phone, equipped with the two-dimensional code that contains this bicycle coding information on every bicycle respectively, install the electronic lock on each bicycle, and a control module and wireless communication module for the unblock, radio communication is carried out with the smartmobile phone on the one hand in the backstage terminal, on the other hand carries out radio communication through wireless communication and control module.
Patent
Face recognition algorithm
TL;DR: In this paper, a face recognition algorithm is proposed, where face images under different states are selected; and a geometric feature recognition method is adopted to carry out face recognition, and the accuracy of the face recognition method can be improved.