Intelligent surveillance systems on the Internet of Things based on secure applications with the IBM cloud platform

Abstract

The Internet of Things (IoT) is one of the most fast-evolving and most pervasive technological advancements of the last decade. Driven by IoT’s promise for an interconnected world for all people, through a shared Internet-based infrastructure, more and more businesses expand their activities to embrace, competitively, this new concept. More importantly, the ubiquitous, highly granular, and of increasing interconnection and computational capabilities nature of the IoT fabric creates a unique ecosystem for developing powerful, intelligent applications not limited to simply gathering and analyzing environmental and people data. This potential combines the IoT’s physical capabilities with the achievements of the more mature discipline of Artificial Intelligence (AI). However, there is still a large number of businesses with no clear plans of investing in the IoT-plus-AI potential, citing multiple obstacles mainly related to the difficulty of understanding, adapting, and developing advanced AI techniques. Our goal is to show that advanced AI functionalities can, now, be easily implemented and operated through existing IoT platforms, by developing an intelligent, remote, surveillance application based on IBM’s Cloud and Watson platforms as well as the Raspberry Zero W low-cost IoT device.