An Overview on Cloud Services for Human Tracking

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.