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Automatic queue monitoring in store using a low-cost IoT sensing platform
Description
In this paper, the problem of queue in convenient stores is considered. We propose a low cost automatic queue length monitoring system by using an Internet-of-Things (IoT) platform. This system can detect the length of queue and the number of people that enqueue and leave the queue. If the length of queue is critical, the system will alert to staff via LINE Notify. Experimental results indicate that our system can perform people counting and notify in real-time. And the average accuracy rate is 95% for people counting and 86% for notification, respectively.
Journal
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- 2017 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW)
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2017 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW) 53-54, 2017-06-01
IEEE
