@article{ART002991980},
author={KIM, TAEKOOK},
title={Spatial Crowdedness Measurement System using IoT and Amazon Web Services},
journal={Journal of Internet of Things and Convergence},
issn={2466-0078},
year={2023},
volume={9},
number={4},
pages={15-20},
doi={10.20465/KIOTS.2023.9.4.015}
TY - JOUR
AU - KIM, TAEKOOK
TI - Spatial Crowdedness Measurement System using IoT and Amazon Web Services
JO - Journal of Internet of Things and Convergence
PY - 2023
VL - 9
IS - 4
PB - The Korea Internet of Things Society
SP - 15
EP - 20
SN - 2466-0078
AB - In this paper, we conducted research on a spatial crowdedness measurement system using the Internet of Things(IoT) and Amazon Web Services(AWS). Current spatial congestion measurement systems require expensive servers and entail significant investment in algorithm development and updates to enhance spatial recognition performance. The proposed system can be implemented at low cost by capturing the screen of a web camera(or CCTV) through OpenCV on a small/low-cost single board computer, Raspberry Pi, and transmitting and processing the information to AWS. Within AWS, the received spatial image information is stored in Amazon S3(Amazon Simple Storage Service).
Subsequently, Amazon Lambda transfers the images to Amazon Rekognition for congestion analysis based on the images. The Amazon Rekognition service offers the capability to utilize artificial intelligence(AI) technology for image processing at a low cost of 0.001 dollars per image. Through human object recognition, it enables congestion analysis. The analyzed congestion level is stored in DB(Database), and the result is displayed on the screen. The proposed system is expected to be used for checking crowdedness at low cost in public place
KW - Internet of Things(IoT);big data;Raspberry Pi;spatial crowdedness;artificial intelligence
DO - 10.20465/KIOTS.2023.9.4.015
ER -
KIM, TAEKOOK. (2023). Spatial Crowdedness Measurement System using IoT and Amazon Web Services. Journal of Internet of Things and Convergence, 9(4), 15-20.
KIM, TAEKOOK. 2023, "Spatial Crowdedness Measurement System using IoT and Amazon Web Services", Journal of Internet of Things and Convergence, vol.9, no.4 pp.15-20. Available from: doi:10.20465/KIOTS.2023.9.4.015
KIM, TAEKOOK "Spatial Crowdedness Measurement System using IoT and Amazon Web Services" Journal of Internet of Things and Convergence 9.4 pp.15-20 (2023) : 15.
KIM, TAEKOOK. Spatial Crowdedness Measurement System using IoT and Amazon Web Services. 2023; 9(4), 15-20. Available from: doi:10.20465/KIOTS.2023.9.4.015
KIM, TAEKOOK. "Spatial Crowdedness Measurement System using IoT and Amazon Web Services" Journal of Internet of Things and Convergence 9, no.4 (2023) : 15-20.doi: 10.20465/KIOTS.2023.9.4.015
KIM, TAEKOOK. Spatial Crowdedness Measurement System using IoT and Amazon Web Services. Journal of Internet of Things and Convergence, 9(4), 15-20. doi: 10.20465/KIOTS.2023.9.4.015
KIM, TAEKOOK. Spatial Crowdedness Measurement System using IoT and Amazon Web Services. Journal of Internet of Things and Convergence. 2023; 9(4) 15-20. doi: 10.20465/KIOTS.2023.9.4.015
KIM, TAEKOOK. Spatial Crowdedness Measurement System using IoT and Amazon Web Services. 2023; 9(4), 15-20. Available from: doi:10.20465/KIOTS.2023.9.4.015
KIM, TAEKOOK. "Spatial Crowdedness Measurement System using IoT and Amazon Web Services" Journal of Internet of Things and Convergence 9, no.4 (2023) : 15-20.doi: 10.20465/KIOTS.2023.9.4.015
