Title: Midgar: Detection of people through computer vision in the Internet of Things scenarios to improve the security in Smart Cities, Smart Towns, and Smart Homes,
Abstract: Could we use Computer Vision in the Internet of Things for using pictures as
sensors? This is the principal hypothesis that we want to resolve. Currently,
in order to create safety areas, cities, or homes, people use IP cameras.
Nevertheless, this system needs people who watch the camera images, watch the
recording after something occurred, or watch when the camera notifies them of
any movement. These are the disadvantages. Furthermore, there are many Smart
Cities and Smart Homes around the world. This is why we thought of using the
idea of the Internet of Things to add a way of automating the use of IP
cameras. In our case, we propose the analysis of pictures through Computer
Vision to detect people in the analysed pictures. With this analysis, we are
able to obtain if these pictures contain people and handle the pictures as if
they were sensors with two possible states. Notwithstanding, Computer Vision is
a very complicated field. This is why we needed a second hypothesis: Could we
work with Computer Vision in the Internet of Things with a good accuracy to
automate or semi-automate this kind of events? The demonstration of these
hypotheses required a testing over our Computer Vision module to check the
possibilities that we have to use this module in a possible real environment
with a good accuracy. Our proposal, as a possible solution, is the analysis of
entire sequence instead of isolated pictures for using pictures as sensors in
the Internet of Things.