Abstract
This paper reflects the intention to test the feasibility of public cloud services to assess the presence of humans in a given space, more precisely, multiple stores, with the least effort and in the fastest way. It is also intended to demonstrate that the use of the public cloud can be an instrument of added value in business areas and research areas. In the specific case, many of the Microsoft Azure cloud services were used to implement a monitoring system, such as Cognitive services to train and use machine learning models, Azure Storage to support image storage needs, Azure functions to execute application code, Azure SQL Databases to store the image analysis results.
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Acknowledgements
“This work is funded by National Funds through the FCT - Foundation for Science and Technology, I.P., within the scope of the project Ref UIDB/05583/2020. Furthermore, we would like to thank the Research Centre in Digital Services (CISeD), the Polytechnic of Viseu for their support.”
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Martins, M., Mota, D., Martins, P., Abbasi, M., Caldeira, F. (2022). An Overview on Cloud Services for Human Tracking. In: de Paz Santana, J.F., de la Iglesia, D.H., López Rivero, A.J. (eds) New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence. DiTTEt 2021. Advances in Intelligent Systems and Computing, vol 1410. Springer, Cham. https://doi.org/10.1007/978-3-030-87687-6_1
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