scholarly journals Flexible Printed Switch Integrated with Wireless Module for IoT applications

2019 ◽  
Author(s):  
Jeet Kumar Brahma ◽  
Brijesh Meena ◽  
Rajat Srivastava ◽  
Charu Monga ◽  
Harsh Chaturvedi

This paper demonstrates a designed and fabricated flexible, printed electronic touch switch, integrated with a wireless module for both manual and remote access control of the electronic appliances. Flexible switch was screen printed using silver nanoparticle and functional polymer-based conductive ink. The foldable flexible switch was then integrated with the designed and assembled wireless module. Remote wireless control of the assembled integrated system demonstrates the proof of concept of integration of flexible printed capacitive touch switches with IoT based home automation modules. The integrated module described here provides a smart alternative to mechanically controlled conventional switches with flexible printed switches which can be wirelessly controlled and are IoT enabled for smart home automation providing an integrated automated system to remotely access and control electronic appliances. This integrated system provides proof of the concept for minimizing space and optimization of power consumption through wireless appliance control using the flexible electronic switch.

2017 ◽  
Vol 13 (01) ◽  
pp. 42
Author(s):  
Luo Jian

This investigation presents a Zigbee and Sip based smart home system(ZSS) that automates home-service operations and remote access. The ZSS home system comprises five subsystems,namely home automation network,home IP netework,home gateway,remote access unit, and cloud service unit. The home automation network is a wireless sensor network , responsible to sample sensors data and control actuators by Zigbee instructions. Security system adopts IP network technology to  transmit videos from IP cameras to remote units. A home gateway middleware is designed to extract atomic service provied by a single device, then customize service rules which can meet variable user demands.Peer to peer transparent data channels between remote mobile phones and home devices are set up by Sip framework to overcome connection issues due to network address translation and dymaic public IP address. A novel  data stream algorithm named GCOKDE is exploited to get probability density distribution of environmental parameters which can be uesd for the condition value of service rule.At the end,this study constructes a prototype to reveal the procedure of realization.


Smart home automation has become popular with the advent of IoT technology. Smart home automation systems suffer from a number of security issues due to the vulnerabilities that exist in the different devices and the interconnection network. Providing user authentication for smart homes is an important security requirement for preventing intruders from attacking a smart home automation system. Biometric based authentication systems have been used in many applications since they provide high security than the smart cards and password based authentication systems. Finger vein recognition is a biometric authentication technique that applies pattern recognition on the images of human finger vein present beneath the skin's surface. The advantage of using finger vein authentication is that, it is difficult to forge and also provides high accuracy as the external deformities like rashes, cracks and rough epidermis do not have an impact on the matching and recognition process. This paper deals with the implementation of a secure smart home automation system that uses finger vein biometric for the authentication mechanism. The algorithm used for authentication uses K Means Segmentation and canny edge detection for feature extraction. SVM classifier is used for the matching process. The authentication system is then incorporated into the smart home automation system that can be used to monitor and control the devices connected to it. The proposed approach shows better performance than the existing methods used in literature for authentication, monitoring and control of smart home automation systems


Visual interpretation of hand gestures is a natural method of achieving Human-Computer Interaction (HCI). In this paper, we present an approach to setting up of a smart home where the appliances can be controlled by an implementation of a Hand Gesture Recognition System. More specifically, this recognition system uses Transfer learning, which is a technique of Machine Learning, to successfully distinguish between pre-trained gestures and identify them properly to control the appliances. The gestures are sequentially identified as commands which are used to actuate the appliances. The proof of concept is demonstrated by controlling a set of LEDs that represent the appliances, which are connected to an Arduino Uno Microcontroller, which in turn is connected to the personal computer where the actual gesture recognition is implemented


Author(s):  
Mohit Solanki ◽  
Muskan ◽  
Heena ◽  
Muskan Mehta ◽  
Bhuvnesh Chaturvedi

The main purpose of this paper is to improve the automation system at home using the Arduino keyboard with Bluetooth controlled by any Android OS smart phone. Technology and electronics have become commonplace in the last year of technology. In this paper, we present the design and implementation of the Home Automation System in conjunction with Home Housing and the best features of home automation with remote access. In this research project part of the smart home technology, Bluetooth on a smart phone is used, so it is cheap and usable. The app includes four main features: an Arduino keyboard, a Bluetooth signal transmission module, a music speaker and an Android-powered smartphone to control devices. By using the smart phone app, we can control household items and provide security to deter people. The idea of paper is to control household items to avoid the risk of electric shock and ease of use for people with disabilities who have easy access and control of household items by staying in a certain place.


2021 ◽  
Vol 5 (1) ◽  
pp. 6
Author(s):  
Suriya Priya R. Asaithambi ◽  
Sitalakshmi Venkatraman ◽  
Ramanathan Venkatraman

With the advent of the Internet of Things (IoT), many different smart home technologies are commercially available. However, the adoption of such technologies is slow as many of them are not cost-effective and focus on specific functions such as energy efficiency. Recently, IoT devices and sensors have been designed to enhance the quality of personal life by having the capability to generate continuous data streams that can be used to monitor and make inferences by the user. While smart home devices connect to the home Wi-Fi network, there are still compatibility issues between devices from different manufacturers. Smart devices get even smarter when they can communicate with and control each other. The information collected by one device can be shared with others for achieving an enhanced automation of their operations. This paper proposes a non-intrusive approach of integrating and collecting data from open standard IoT devices for personalised smart home automation using big data analytics and machine learning. We demonstrate the implementation of our proposed novel technology instantiation approach for achieving non-intrusive IoT based big data analytics with a use case of a smart home environment. We employ open-source frameworks such as Apache Spark, Apache NiFi and FB-Prophet along with popular vendor tech-stacks such as Azure and DataBricks.


Author(s):  
Sameer Alani ◽  
Sarmad Nozad Mahmood ◽  
Sarah Zaeead Attaallah ◽  
Haneen Sameer Mhmood ◽  
Zeena Abdulsattar Khudhur ◽  
...  

The developments of the internet of things (IoT) technologies fascinated the universe and provided great opportunities to introduce these innovations in smart house networks. Smart home automation is highly required these days. Smart home automation is a collection of electronic devices connected to monitor and control in the market home appliance remotely. However, it is still needed to design a friendly and reliable system since the system mainly depends on the devices used and the environment of the network. NETPI and BLYNK are IoT frameworks used for hardware-agnostic with smartphones, websites, private clouds, system security, data mining, and deep learning. The results confirmed that NETPI provides flexibility to deal with several NODEMCU controllers in a single control framework. The proposed system shows its applicability in monitoring and controlling home appliances remotely.


2013 ◽  
Vol 336-338 ◽  
pp. 1645-1649 ◽  
Author(s):  
Zhi Min Li ◽  
De Han Luo ◽  
Dan Jun Fan ◽  
Chao Wang

Nowadays, wireless network technology in smart home is rapid gaining popularity duo to its flexible integration into everyday life. The paper introduces a method that adopts 433MHZ communication to establish the wireless network in smart home system based on Si4421 wireless modules. The paper designed the overall idea of how to establish the wireless network, it mainly talk about the wireless module, including both software and hardware. The difficulty lies in the realization of the custom wireless communication protocol. The Si4421 wireless module was tested in data communication and control in smart home system which can work efficiently and reliably, it proved that the wireless module is perfectly suitable for the wireless network construction in smart home with small size package, low consumption, low cost, and strong ability to leap obstacles.


2021 ◽  
Author(s):  
N. Stalin ◽  
N. Shobanadevi

Abstract In recent scenario the home automation system has rapidly evolved with specific advantages using internetand Wi-Fi. This paper based on the GSM technology used to send the very short message service to operate the devices connected in the common node. The home assisting software has installed in smart phone to make the system simple. A smart home automation system based on Zigbee wireless communication is used to monitor and control the devices which are connected to the common test bed simultaneously minimize the energy cost.


Author(s):  
Shauvik Purkayastha ◽  
Triporna Kashyap ◽  
Navam Pradhan ◽  
Rajashree Konwar

The human race has always been in the quest for a better and easier life and ever since technology begun heavily integrating itself into the society. From the appliances in our kitchen to the phones in our palms, there are many high tech devices that make our lives easier. But it would be more convenient if we could control these devices remotely. An automated system could control machines and perform tasks as per the convenience of the user from long distances. In this paper, we are presenting a proposed system for a Smart Home automation where the user can control home electronic appliances easily and with higher controllability using an android application. To design this system, we are using a Raspberry Pi module. The Raspberry Pi acts as a mini computer.


In this paper we will demonstrates a flexible and dependable home security system with supplementary security using an Arduino microphone, with the ability to connect via Internet Protocol (IP) through local Wi-Fi for remote access and control by an approved user using the app smartphone. IoTs describe the impression of linking and analyzing realworld events using the Internet. The concept can be implemented in our home to create a smart, safe and automated environment. The proposed service, based on IoT, is intended to create intelligent environments using computer vision and NFC computers, which send an online message to the owner in situation of any damage, if necessary raises alarm. Do not assume the power acquired as a result of this system and such an existing system is that warnings from a Wi-Fi-connected system can be accessed from any phone regardless of its eyes, regardless of whether connect phone and internet. The purpose of this model is to ensure a smart and secure environment using latest technology for our home.


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