Smart Gate: a Modular System for Occupancy and Environmental Monitoring of Spaces

Longo, Edoardo; Redondi, Alessandro E. C.; Bianchini, Massimo; Bolzan, Patrizia; Maffei, Stefano

doi:10.23919/splitech49282.2020.9243754

Cited by 6 publications

(7 citation statements)

References 18 publications

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“…People YES YES CA [ 66 ] 6 D Detection, Num. People NO YES 1 min NFA Accuracy 98.3% [ 7 ] 30 D Detection, Levels NO YES 1 min Bayes filter Accuracy 85.57% [ 2 ] 11 H Num.People NO YES 1 seg DFE Recall 91.93–96.80% [ 6 ] Num.People NO YES 1 min MLR, QL

88–91% [ 12 ] 13 D Levels YES YES 10 seg, 30 seg, 1 min K-NN, SVM, DT Accuracy 88.39–99.67% …”

Section: Table A1mentioning

confidence: 99%

“…The occupancy information can be used to optimize a building’s energy consumption and reduce energy waste [ 1 ]. Furthermore, in a world where social distancing and space occupancy limitation policies have been enforced due to the COVID-19 pandemic, monitoring systems become tools not only to improve the management of spaces but also to save human lives [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

“…The available CO

sensors are MQ135 [ 6 ], CL11 (also measure temperature and RH) [ 7 , 8 , 9 ], SenseAir S8 [ 10 ], and HOBO MX1102 Zhou2020, among others. To measure temperature, RH, and barometric pressure, some commercial sensors are the SENSIRION STS31 [ 11 ], BME280 [ 2 , 12 ], and MHB-382SD [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Measuring Indoor Occupancy through Environmental Sensors: A Systematic Review on Sensor Deployment

Mena

Ceballos

Alvarado-Uribe

2022

Sensors

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The COVID-19 pandemic has changed our common habits and lifestyle. Occupancy information is valued more now due to the restrictions put in place to reduce the spread of the virus. Over the years, several authors have developed methods and algorithms to detect/estimate occupancy in enclosed spaces. Similarly, different types of sensors have been installed in the places to allow this measurement. However, new researchers and practitioners often find it difficult to estimate the number of sensors to collect the data, the time needed to sense, and technical information related to sensor deployment. Therefore, this systematic review provides an overview of the type of environmental sensors used to detect/estimate occupancy, the places that have been selected to carry out experiments, details about the placement of the sensors, characteristics of datasets, and models/algorithms developed. Furthermore, with the information extracted from three selected studies, a technique to calculate the number of environmental sensors to be deployed is proposed.

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88–91% [ 12 ] 13 D Levels YES YES 10 seg, 30 seg, 1 min K-NN, SVM, DT Accuracy 88.39–99.67% …”

Section: Table A1mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Measuring Indoor Occupancy through Environmental Sensors: A Systematic Review on Sensor Deployment

Mena

Ceballos

Alvarado-Uribe

2022

Sensors

View full text Add to dashboard Cite

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“…The context of university campuses is one of the most used case studies in such a situation. Longo et al [35] present a prototype of a smart object (named Smart Gate), with the aim of monitoring people flow and of keeping track of the occupancy levels. Such a prototype is equipped with passive sensors (Time-of-Flight long-ranging sensors) and cameras, collecting data on a Raspberry Pi and transmitting them to a server for advanced analysis.…”

Section: Iot Infrastructures and Smart Environments For Occupancy Monmentioning

confidence: 99%

On exploiting Data Visualization and IoT for Increasing Sustainability and Safety in a Smart Campus

et al. 2021

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In a world that is getting increasingly digital and interconnected, and where more and more physical objects are integrated into the information network (Internet of Things, IoT), Data Visualization can facilitate the understanding of huge volumes of data. In this paper, we present the design and implementation of a testbed where IoT and Data Visualization have been exploited to increase the sustainability and safety of the Cesena (Smart) Campus. In particular, we detail the overall system architecture and the interactive dashboard that facilitates the management of the campus premises and the timetabling. Exploiting our system, we show how we can improve the campus sustainability (in terms of energy saving) and safety (considering the COVID-19 restrictions and regulations).

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“…At the same time, the management is somehow more flexible than what is found in proper cities and municipalities since universities are by nature more open at accepting innovations and new technologies, even if still not completely mature. Several solutions have been recently proposed in association with the concept of Smart Campus [2]: smart parking systems [3,4], microgrids [5], smart libraries [6,7], systems for classroom monitoring and occupancy estimation [8,9] as well as sustainable solutions [10,11], are all examples of smart applications implemented in university campuses.…”

Section: Introductionmentioning

confidence: 99%

A 5G-Enabled Smart Waste Management System for University Campus

Longo

Sahin

Redondi

et al. 2021

Sensors

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Future university campuses will be characterized by a series of novel services enabled by the vision of Internet of Things, such as smart parking and smart libraries. In this paper, we propose a complete solution for a smart waste management system with the purpose of increasing the recycling rate in the campus and provide better management of the entire waste cycle. The system is based on a prototype of a smart waste bin, able to accurately classify pieces of trash typically produced in the campus premises with a hybrid sensor/image classification algorithm, as well as automatically segregate the different waste materials. We discuss the entire design of the system prototype, from the analysis of requirements to the implementation details and we evaluate its performance in different scenarios. Finally, we discuss advanced application functionalities built around the smart waste bin, such as optimized maintenance scheduling.

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Smart Gate: a Modular System for Occupancy and Environmental Monitoring of Spaces

Cited by 6 publications

References 18 publications

Measuring Indoor Occupancy through Environmental Sensors: A Systematic Review on Sensor Deployment

Measuring Indoor Occupancy through Environmental Sensors: A Systematic Review on Sensor Deployment

On exploiting Data Visualization and IoT for Increasing Sustainability and Safety in a Smart Campus

A 5G-Enabled Smart Waste Management System for University Campus

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