RAS-AIOTI

IoT project from RAS - Unesp Bauru

AIOTI

The main objective of this project is to apply IoT (Internet of Things) concepts in order to improve the comfort, security and efficiency.

Introduction

The AIOTI project was designed to understand and apply the concepts of IoT technologies, the objective was to communicate the projects already developed in RAS. To achieve this goal, we selected some projects that could be implemented in our IEEE student branch, they are the ReconFace, 3D-Printer-Monitoring-App and People-Flow-Monitoring. These projects were slightly modified to send data via a MQTT network. A Node-Red server is used to control data flow, and a MySQL database to store such data, from which both are stationed along with a MQTT Broker inside a Raspberry Pi (Version 3 or superior) acting as the core of the application.

Installation

To be able to run each program, you will need to install some libraries. First of all, update your pip version using the following command:

pip install --upgrade pip

Face recognition

This program require computer vision and neural networks functionalities, so make sure to install the following libraries:

Numpy

pip install numpy

OpenCV

pip install opencv-python

OpenCV Contrib

pip install opencv-contrib-python

Imultils

pip install imutils

Pillow

pip install pillow

Pytest-shutil

pip install pytest-shutil

Scikit Learn

pip install scikit-learn

Paho-MQTT

pip install paho-mqtt

People-Flow

This program, like the one above, requires computer vision and neural networks. So, certify yourself of install correctly the packages described in the requirements file:

pip install -r people_flow_requirements.txt

3D-Printer

This program needs just computer vision, so you will need to install the packages bellow:

Numpy

pip install numpy

OpenCV

pip3 install opencv-contrib-python

Paho-MQTT

pip install paho-mqtt

Node-red importing

For managing all MQTT data, we chose Node-red. The application allow us to configure how the data will be stored in MySQL Databases, connecting to the local server running from a RaspBerry Pi 3. For use the file “AIoTI-Node-red-DataFlow.json”, please install the node node-red-node-mysql, which will be connected to the MySQL Server. After installing the node, you'll be able to import the flow using the json file and configure the internal servers (MQTT Broker and MySQL server).

AIoTI Team

Claudio Gabriel Rosa Dujanski	Felipe Maziero Zechel (Scrum Master)	João Pedro Olimpio
github.com/claudiogabriel-1	github.com/zechelf	github.com/JpZwAr

Lucas Serrano Costa	Matheus Augusto Barbosa Rodrigues	Paulo Gigliotti (Product Owner)
github.com/lucas-serrano	github.com/MatheusMABR	github.compaulo-gigliotti