Machine Learning Driven IoT Based Smart Health Care Kit

This paper focuses on developing a machine learning driven IOT based smart healthcare kit. It plays an important role in emergency medical service like Intensive Care Units (ICU), by using an INTEL GALILEO 2ND generation development board. It facilitates to monitor and track different health indicators such as Blood Pressure, Pulses, and Temperature of the patient. This system allows to send the real time data of a patient to the physician and record it for future use. In this research we conducted two experiments: a)heart disease prediction from pathology data and b) lung disease prediction from X-ray images. For heart disease prediction we evaluate the performance of K-Nearest Neighbour and Random Forest Classifier and for lung disease prediction, we use VGG19 deep architecture. Experimental results demonstrate that machine learning can help to automate the IoT based smart healthcare kit and help doctors to diagnose the diseases.

Design and Implementation of Home Automation of Embedded System Design with Internet of Things (IoT)

With the advancement of Automation innovation, life is getting less complex and simpler in all perspectives. In this day and age Programmed frameworks are being favoured over a manual framework. The fast increment in the number of clients of the web over the previous decade has made the Internet a vital part of life, and IoT is the most recent and rising web innovation. Web of things is a developing system of a regular article from mechanical machine to purchase products that can share data and complete assignments while you are occupied with other exercises. Remote Home Automation tool (WHAS) utilizing IoT is a framework that utilizations PCs or mobile telephones to manipulate vital home capacities and highlights without a doubt through the net from anywhere around the world, a robotized home is every so often referred to as a sensible domestic In this paper we gift a Home Automation System (HAS) making use of Intel Galileo that employs the coordination of cloud organizing, a long way off correspondence, to provide the patron far off manage of diverse lighting fixtures, lovers, and apparatuses interior their home what is more, placing away the statistics in the cloud. The device will routinely alternate based on sensor data.

A Smart Agriculture System Based On Intel Galileo For Detection Of Cultivable Crops And Implemented On Soil Nutrients

The world is in need of food, water, Shelter and without any of these there is no possibility to live. Agriculture is backbone of our nation which indeed supplies food for the entire people but the producers of food are facing many problems like moisture content, fertility of soil which affects the farming. Because of this reason cultivation and production of food grains are decreased. Current scenario is that the farmers need to go research center to test the fertility content of soil and to predict kind of plants can be cultivable in that land. In this paper perfect cultivable plants can be detected properly without approaching soil research centers which consumes more money as well time. By the application of pH sensors the fertility of soil can be measured. By measuring the pH soil nutrient content can be measured and so the suitable cultivable crop for different soil varieties can be predicted. In this view to give a healthful support to farmers, soil nutrients are analyzed and report the requirement using advanced sensors.

Smart Greenhouse Multıfactor Monıtorıng Usıng Iot

Agriculture plays vital role in the development of agricultural country. Agriculture supports directly or indirectly the economic growth of the country. The biggest thing that holds back the development in the agricultural productivity and efficiency is manual interventions. Agriculture put lots of emphasis on human care in detection and control of different factors such as environment which leads to wastage of manpower and also the desired results are not achieved due to human monitoring error. Greenhouse agriculture in large extent is in urgent need to control the environment factors which give optimum growth of plants. With internet era, proposed work is an integration of greenhouse with IoT. In proposed work Intel Galileo Gen 2 board is used to monitor and control environmental factors for greenhouse like temperature, humidity, soil moisture and light intensity. The user gets updated constantly about the condition of the greenhouse factors using IoT technology. To transmit the data over internet ESP8266Wi-Fi module is used. The experimental results are displayed on ThingSpeak cloud platform. This system avoids the use of dedicated server PC, with the help of internet connectivity user can access the data from anywhere at any time.

Aided System for Visually Impaired People in Bus Transport using Intel Galileo Gen-2: Technical Note

Outwardly impeded individuals experience issues in travel and getting to data about open transportation frameworks. A few frameworks have been created for encouraging outwardly hindered utilizing the city transport. Most frameworks give double way correspondence and require expensive and complex hardware. The objective of this work is to decrease the troubles confronted by outwardly debilitated individuals while boarding in city transports, utilizing an intuitive remote correspondence framework. The framework contained a client module and a transport module to give an immediate coordinated association to diminish the existing challenges with a new many-to-numerous correspondence. When the client triggers the switch, the client module promptly conveys the data. In the event that the transport module gets the coordinated flag, it hums and shows the notice in the display to advise the transport driver that somebody is holding up to blind people on the transport. The intelligent remote correspondence help framework is a legitimate and minimal effort gadget for helping outwardly weakened individuals to utilize the city transports.