Attendance Tracking System using Many Battery-free Photovoltaic Bluetooth Beacon Badges DOI Creative Commons

Chenyang Wu,

Lei Che,

Siyu Jin

et al.

Published: Nov. 4, 2024

The concept of ambient IoT was introduced by 3GPP to describe low-cost, self-powered, or battery-free sensor nodes, which may reach up 10 trillion units in the future. By replacing chemical batteries many standalone devices, we can achieve ubiquitous connectivity through environmentally friendly and maintenance-free solutions. This paper presents a systematic design an attendance tracking system utilizing photovoltaic (PV) Bluetooth beacon badges, along with several stationary gateways. In particular, experiences real-world massive deployments these badges are emphasized. Thanks customized power management that only nano-watt leakage before activation, operate low-light environments gradually accumulating energy from indoor lighting, functioning conditions as low 17 Lux. prioritizes cost-effectiveness, making suitable for potential commercialization, each compact badge measuring 40 × 30 4 mm3 bill materials (BOM) costing less than $1. field tests, every attendee at academic conference wore souvenir PV badge, broadcasted packet once sufficient accumulated. Stationary gateways installed various rooms collected information, while cloud-based program developed visualize results.

Language: Английский

AIoT-powered building digital twin for smart firefighting and super real-time fire forecast DOI Creative Commons
Weikang Xie, Yanfu Zeng, Xiaoning Zhang

et al.

Advanced Engineering Informatics, Journal Year: 2025, Volume and Issue: 65, P. 103117 - 103117

Published: Jan. 21, 2025

Language: Английский

Citations

1
Digital-Twin Enabled Evacuation to Improve Individual and Community Resilience of Building Occupants against Indoor Fires: Framework and Route-Finding Algorithm DOI Creative Commons
Jonathan Koon Ngee Tan, Shuai Zhang, Adrian Wing‐Keung Law

et al.

Developments in the Built Environment, Journal Year: 2025, Volume and Issue: 22, P. 100672 - 100672

Published: April 1, 2025

Language: Английский

Citations

0
Digital twin of buildings and occupants for emergency evacuation: Framework, technologies, applications and trends DOI
Jia‐Rui Lin,

Ke-Yin Chen,

Sheng-Yu Song

et al.

Advanced Engineering Informatics, Journal Year: 2025, Volume and Issue: 66, P. 103419 - 103419

Published: May 13, 2025

Language: Английский

Citations

0
Deep Learning Models for Vision-Based Occupancy Detection in High Occupancy Buildings DOI Creative Commons
Wuxia Zhang, John Kaiser Calautit, Paige Wenbin Tien

et al.

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 111355 - 111355

Published: Nov. 1, 2024

Language: Английский

Citations

1
Complex Indoor Human Detection with You Only Look Once: An Improved Network Designed for Human Detection in Complex Indoor Scenes DOI Creative Commons
Yang Xu, Yan Fu

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(22), P. 10713 - 10713

Published: Nov. 19, 2024

Indoor human detection based on artificial intelligence helps to monitor the safety status and abnormal activities of body at any time. However, complex indoor environment background pose challenges task. The YOLOv8 algorithm is a cutting-edge technology in field object detection, but it still affected by low-light environments large changes scale. To address these issues, this article proposes novel method called CIHD-YOLO, which specifically designed for detection. proposed combines spatial pyramid pooling backbone with an efficient partial self-attention, enabling network effectively capture long-range dependencies establish global correlations between features, obtaining feature information different scales. At same time, GSEAM module GSCConv were introduced into neck compensate loss caused differences lighting levels combining depth-wise separable convolution residual connections, extract effective features from visual data poor illumination levels. A dataset HCIE dataset, was constructed used evaluate model paper. research results show that compared original YOLOv8s framework, accuracy has been improved 2.67%, required floating-point operations have reduced. comprehensive case analysis comparative evaluation highlight superiority effectiveness tasks.

Language: Английский

Citations

0
Displacement-based dynamic stability determination and assessment of single-layer reticulated dome structures under seismic actions DOI

Tianhong Zheng,

Deng Mao,

Guangliang Zhang

et al.

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 111401 - 111401

Published: Nov. 1, 2024

Language: Английский

Citations

0
Attendance Tracking System using Many Battery-free Photovoltaic Bluetooth Beacon Badges DOI Creative Commons

Chenyang Wu,

Lei Che,

Siyu Jin

et al.

Published: Nov. 4, 2024

The concept of ambient IoT was introduced by 3GPP to describe low-cost, self-powered, or battery-free sensor nodes, which may reach up 10 trillion units in the future. By replacing chemical batteries many standalone devices, we can achieve ubiquitous connectivity through environmentally friendly and maintenance-free solutions. This paper presents a systematic design an attendance tracking system utilizing photovoltaic (PV) Bluetooth beacon badges, along with several stationary gateways. In particular, experiences real-world massive deployments these badges are emphasized. Thanks customized power management that only nano-watt leakage before activation, operate low-light environments gradually accumulating energy from indoor lighting, functioning conditions as low 17 Lux. prioritizes cost-effectiveness, making suitable for potential commercialization, each compact badge measuring 40 × 30 4 mm3 bill materials (BOM) costing less than $1. field tests, every attendee at academic conference wore souvenir PV badge, broadcasted packet once sufficient accumulated. Stationary gateways installed various rooms collected information, while cloud-based program developed visualize results.

Language: Английский

Citations

0