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

by   Cristian González García, et al.

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.



There are no comments yet.


page 7

page 8

page 9

page 11

page 12

page 13

page 14

page 15


IoT Applications in Urban Sustainability

Internet of Things is one of the driving technologies behind the concept...

Turing Test for the Internet of Things

How smart is your kettle? How smart are things in your kitchen, your hou...

Trustable Mobile Crowd Sourcing for Acquiring Information from a Flooded Smart Area

Flood is a natural phenomenon that causes severe environmental damage an...

IoFClime: The fuzzy logic and the Internet of Things to control indoor temperature regarding the outdoor ambient conditions

The Internet of Things is arriving to our homes or cities through fields...

A Proposed IoT Smart Trap using Computer Vision for Sustainable Pest Control in Coffee Culture

The Internet of Things (IoT) is emerging as a multi-purpose technology w...

A Gun Detection Dataset and Searching for Embedded Device Solutions

Gun violence is a severe problem in the world, particularly in the Unite...

Smart Refrigerator using Internet of Things and Android

The kitchen is regarded as the central unit of the traditional as well a...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.