Research on tourist volume monitoring system of smart scenic spot

Ning Shi; Xiao Wei Chen

doi:10.1117/12.2673504

22 May 2023 Research on tourist volume monitoring system of smart scenic spot

Ning Shi, Xiao Wei Chen

Proceedings Volume 12640, International Conference on Internet of Things and Machine Learning (IoTML 2022); 1264009 (2023) https://doi.org/10.1117/12.2673504
Event: International Conference on Internet of Things and Machine Learning (IoTML 2022), 2022, Harbin, China

Abstract

The scenic spot has a certain tourist carrying capacity, controlling the number of tourists in the scenic spot can not only protect the scenic spot landscape, but also can improve the comfort of tourists. With the development of modern information technology, the demand for building smart scenic spots is becoming stronger and stronger. Tourist volume monitoring is an important aspect of smart scenic spot construction[1]. The system adopts intelligent camera as the tourist volume collection equipment, which is installed at the entrance and exit of the scenic spot to make real-time statistics of the incoming and outgoing data[2]. Our innovations include the followings. First, we have designed a general system architecture based on intelligent tourist volume camera for tourist volume collection, which is applicable to the statistics of tourist volume of scenic spots at multiple entrances and exits, and supports monthly reports, daily reports and hourly reports. Second, we have proposed a three-level threshold tourist volume early warning mode, which is based on 80%, 90% and 100% of the tourist carrying capacity of the scenic spot, and set three-level threshold, two-level threshold and primary threshold respectively. This is an application of IoT in intelligent scenic spots.

Citation Download Citation

Ning Shi and Xiao Wei Chen "Research on tourist volume monitoring system of smart scenic spot", Proc. SPIE 12640, International Conference on Internet of Things and Machine Learning (IoTML 2022), 1264009 (22 May 2023); https://doi.org/10.1117/12.2673504

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KEYWORDS

Cameras

Imaging systems

Infrared radiation

Intelligence systems

Safety

Cell phones

Computing systems

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