IoT to monitor people flow in areas of public interest
arXiv:2111.04465 · doi:10.1007/978-3-030-87016-4_47
Abstract
The unexpected historical period we are living has abruptly pushed us to loosen any sort of interaction between individuals, gradually forcing us to deal with new ways to allow compliance with safety distances; indeed the present situation has demonstrated more than ever how critical it is to be able to properly organize our travel plans, put people in safe conditions, and avoid harmful circumstances. The aim of this research is to set up a system to monitor the flow of people inside public places and facilities of interest (museums, theatres, cinemas, etc.) without collecting personal or sensitive data. Weak monitoring of people flows (i.e. monitoring without personal identification of the monitored subjects) through Internet of Things tools might be a viable solution to minimize lineups and overcrowding. Our study, which began as an experiment in the Umbria region of Italy, aims to be one of several answers to automated planning of people's flows in order to make our land more liveable. We intend to show that the Internet of Things gives almost unlimited tools and possibilities, from developing a basic information process to implementing a true portal which enables business people to connect with interested consumers.
International Conference on Computational Science and Its Applications, ICCSA 2021
References in corpus (8)
- Teaching Math with the help of Virtual Reality
- An Approach for Improving Automatic Mouth Emotion Recognition
- Binary classification of proteins by a Machine Learning approach
- Skin Cancer Classification using Inception Network and Transfer Learning
- Sharing Linkable Learning Objects with the use of Metadata and a Taxonomy Assistant for Categorization
- Towards a learning-based performance modeling for accelerating Deep Neural Networks
- An immersive Open Source environment using Godot
- Mobile Localization Techniques Oriented to Tangible Web