Personal access management by IOT - study of prototypes using IOT resources for automatic registration of presence and information management (Big Data)

• Grant number: 18/08533-1
• Support Opportunities: Research Grants - Innovative Research in Small Business - PIPE
• Start date: December 01, 2018
• End date: August 31, 2019
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computer Systems
• Principal Investigator: Sandra Aparecida Silva Biasi Janostiac
• Grantee: Sandra Aparecida Silva Biasi Janostiac
• Company: Everest Soluções em Informática Ltda
• CNAE: Consultoria em tecnologia da informação ; Suporte técnico, manutenção e outros serviços em tecnologia da informação
• City: São Paulo
• Associated researchers: Leandro Yukio Mano Alves
• Associated scholarship(s): 19/04400-0 - PERSONAL ACCESS MANAGEMENT BY IOT - STUDY OF PROTOTYPES USING IOT RESOURCES FOR AUTOMATIC REGISTRATION OF PRESENCE AND INFORMATION MANAGEMENT (BIG DATA), BP.TT; 19/05336-3 - PERSONAL ACCESS MANAGEMENT BY IOT - STUDY OF PROTOTYPES USING IOT RESOURCES FOR AUTOMATIC REGISTRATION OF PRESENCE AND INFORMATION MANAGEMENT (BIG DATA), BP.TT; 19/02820-1 - Personal access management by IoT: study of prototypes using IoT resources for automatic registration of presence and information management (Big Data), BP.PIPE

Abstract

The world of the Internet of Things (IoT), advances rapidly on our daily lives. Increasingly, it leaves the labs to be part of people's real lives. By 2020, there will be 20 billion Internet-connected "things" such as smart TVs, automobiles, intelligent lighting systems or industrial equipment, among others, according to Gartner, a study released in February / 2017.These devices can help increase productivity and reduce inefficiencies. For this purpose, our project focuses on evaluating the use of IoT devices as an alternative for monitoring and releasing access of people in a given physical environment. Simultaneously, structure the storage of this data in Big Data database, to diagnose and understand the dynamics of these devices during data capture, with differentials in relation to the state of the art of this technology in the world, with emphasis in the markets of accessibility, mobility, hospitality, neuromarketing and scientific research. The present research project proposes to evaluate the use of IoT devices and to identify which solutions are most suitable for each studied scenario, taking into account the possible physical barriers, people flow, diversity of models and brands of cellular handsets involved, environment Cloud Computing, among other variables to be analyzed. Data prototypes will be structured in "small sample" of the Big Data, to idealize the best information structure to support the multiple possible applications, giving priority to flexibility and integrations with diverse sources. The IoT devices to be considered comprise: (a) Beacon - bluetooth device; (b) NFC tags - Near Field Communication; (c) Wi-Fi Hotspot - Wi-Fi Internet networks with identification of use, usually free access, (d) QRCode - Quick Response Code and (e) processing and storage platform. The objective will be to understand and diagnose the behavior of these devices during the capture of data in different situations. Among the applications we have: studies of people circulation in monitored environments, identification and release of access, optimization of processes of management of absences of individuals and diagnoses of accessibility problems, even for people with mobility restrictions. Currently these technologies are treated separately, including abroad. With the increasing worldwide dissemination and the beginning of manufacturing of these devices in Brazil, it reduced the very high cost of equipment, making possible to use in commercial applications. (AU)