scholarly journals ACCESS - IoT enabled smart lock

2021 ◽  
Vol 10 (3) ◽  
pp. 176
Author(s):  
Harshith Gadupu ◽  
Osa Mokharji ◽  
Raunak Kankaria ◽  
Shrey Kumar ◽  
Kayalvizhi Jayavel
Keyword(s):  
Mobile Application ◽  
Security System ◽  
Home Automation ◽  
System A ◽  
Recent Interest

<div class="abstract">ACCESS is a centrally controlled extensible security system - a system for enhancing accessibility and security methods. Security is an important matter of concern and everyone wants things easy and fast with the advancement of technology. Many IoT engineers are inclined towards home automation today. An area of recent interest is the automation of lock and key systems of homes and workplaces. This paper comprises mechanisms to view visitors of households, machinery, or any appliance that may be remotely controlled through a mobile application. Owners or supervisors can keep a watch on the guests and choose whom they want to grant entry to. This is conducted by providing the guests with temporary access permission for a validity period of the owner’s choice. They can also simultaneously monitor the activities of the guests.</div>

Weight-Loss Program Assistance System for Obesity Patients Based on Internet of Things (IoT) Technology

2017 ◽  
Vol 8 (1) ◽  
Author(s):  
I Gusti Bagus Astawa ◽  
I Ketut Agung Enriko
Keyword(s):  
Weight Loss ◽  
Internet Of Things ◽  
Mobile Application ◽  
Human Life ◽  
Weight Loss Program ◽  
Internet Technology ◽  
Healthcare Sector ◽  
Home Automation ◽  
Index Terms ◽  
Use Of Internet

These days, the use of Internet technology can be found in almost every sector of human life. One of the advanced Internet technologies is Internet of Things (IoT), that is a technology where devices can communicate via Internet connectivity. It is used in many vital industries like automotive, electricity, home automation, and healthcare. This study aims to implement IoT technology for healthcare sector, i.e. in helping obesity people to pursue their weight-loss program (WLP). The result is a system which consists of a smart weight scale, a mobile application, and food menu recommendation database in order to help obesity people in their WLP program. A trial to some obesity patients is performed to collect data. Index Terms—Internet of things; overweight; weight loss program; food recommendation

293 Enhancing Your Recovery: A Mobile Application for Patients Undergoing Vascular Surgery

2021 ◽  
Vol 108 (Supplement_2) ◽  
Author(s):  
S Hodge ◽  
K Pattabathula ◽  
J Jenkins ◽  
M Ogg
Keyword(s):  
Vascular Surgery ◽  
Mobile Application ◽  
Outpatient Appointment ◽  
Healthcare Settings ◽  
System A ◽  
University Of Technology ◽  
Operative Complications ◽  
Remote Consultations ◽  
Healthcare Assessment

Abstract Aim: With increasing demands on the healthcare system, a central (and currently essential) push for remote consultations, and an increasing number of co morbidities in the surgical population, the aim was to create an application that placed the focus on pre-hospital optimisation, education and autonomy – addressing these sector trends to enhance outcomes for patients and ease the burden on healthcare settings. Method After obtaining baseline data, I worked alongside students from the Queensland University of Technology to produce an application suitable for both iOS and android platforms. Results The application has four facets which mirror a patient’s journey from their initial outpatient appointment through to recovery. The application is easy to use, free to download and readily accessible. On opening the application, the user can select their planned operation and navigate along a personalised decision tree. Conclusions The application has been designed to educate and empower a patient to become an active participant in their care, leading to long-term changes in healthcare. Assessment is ongoing but early indications suggest that this will be a valuable tool in optimising outcomes for patients undergoing vascular surgery – leading to fewer post-operative complications and earlier restoration of functional status.

IoT Based Smart Home Automation and Security System Using Mobile App With Assistant Robot for Developing Countries

2021 ◽  
Author(s):  
A. Z. M. Tahmidul Kabir ◽  
Al Mamun Mizan ◽  
Plabon Kumar Saha ◽  
K M Moshiur Rahman Songlap ◽  
Akib Jawad Ta-Sin ◽  
...  
Keyword(s):  
Developing Countries ◽  
Smart Home ◽  
Mobile App ◽  
Security System ◽  
Home Automation

scholarly journals Internet of Things-Based Intelligent Smart Home Control System

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Olutosin Taiwo ◽  
Absalom E. Ezugwu
Keyword(s):  
Machine Learning ◽  
Mobile Application ◽  
Smart Home ◽  
Human Life ◽  
Machine Learning Algorithms ◽  
Support Vector ◽  
Automation System ◽  
Home Automation ◽  
Area Of Interest ◽  
Home Automation System

The smart home is now an established area of interest and research that contributes to comfort in modern homes. With the Internet being an essential part of broad communication in modern life, IoT has allowed homes to go beyond building to interactive abodes. In many spheres of human life, the IoT has grown exponentially, including monitoring ecological factors, controlling the home and its appliances, and storing data generated by devices in the house in the cloud. Smart home includes multiple components, technologies, and devices that generate valuable data for predicting home and environment activities. This work presents the design and development of a ubiquitous, cloud-based intelligent home automation system. The system controls, monitors, and oversees the security of a home and its environment via an Android mobile application. One module controls and monitors electrical appliances and environmental factors, while another module oversees the home’s security by detecting motion and capturing images. Our work uses a camera to capture images of objects triggered by their motion being detected. To avoid false alarms, we used the concept of machine learning to differentiate between images of regular home occupants and those of an intruder. The support vector machine algorithm is proposed in this study to classify the features of the image captured and determine if it is that of a regular home occupant or an intruder before sending an alarm to the user. The design of the mobile application allows a graphical display of the activities in the house. Our work proves that machine learning algorithms can improve home automation system functionality and enhance home security. The work’s prototype was implemented using an ESP8266 board, an ESP32-CAM board, a 5 V four-channel relay module, and sensors.

scholarly journals Home Automation with Intruder Detection and Energy Control

2021 ◽  
Vol 9 (VI) ◽  
pp. 3473-3480
Author(s):  
M. Niharika
Keyword(s):  
Light Intensity ◽  
Smart Home ◽  
Security System ◽  
Automation System ◽  
Home Automation ◽  
Energy Control ◽  
Intruder Detection ◽  
Alert Message ◽  
Home Automation System

In previous project we made a home automation system, where we can control our appliances through Blynk app and Google assistant with the help of IFTTT. As an extension we will provide feedback to user whether the appliance is on or off. We will also use sensors like LDR for measuring light intensity in this project to make it smart. We will also include security system where in we have sensors to doors and windows and give buzzer along with an alert message to the user. On a whole we will provide a smart home automation system.

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