DOCSLIB.ORG

Google Assistant Voice Activated Automatic Control of Home Appliances Using Iot and Node Mcu

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Google Assistant Voice Activated Automatic Control of Home Appliances Using Iot and Node Mcu International Journal of Advanced Research in Engineering and Technology (IJARET) Volume 12, Issue 3, March 2021, pp.120-127 Article ID: IJARET_12_03_014 Available online at http://iaeme.com/Home/issue/IJARET?Volume=12&Issue=3 ISSN Print: 0976-6480 and ISSN Online: 0976-6499 DOI: 10.34218/IJARET.12.3.2021.014 © IAEME Publication Scopus Indexed GOOGLE ASSISTANT VOICE ACTIVATED AUTOMATIC CONTROL OF HOME APPLIANCES USING IOT AND NODE MCU Sandeep Chintha Assistant Professor, Department of Electronics and Communication Engineering, Geethanjali College of Engineering and Technology, Hyderabad, India K. Ramya Prathima Systems Engineer, Infosys Ltd, Hyderabad, India ABSTRACT In the modern technology, home automation system makes our lives easier and comfortable because the data can be transmitted or received between the devices by connecting the home appliances with internet (IoT) and can be accessed or operated from anywhere, at any time. Home automation includes controlling aspects of home, remotely through electronic devices. In this paper, we are going to implement the home automation concept which is voice controlled and here “Google Assistant” is used for the voice recognition. Unlike other voice activated home automation systems, in the proposed system the appliances are operated from anywhere without any distance limits as we are using internet for giving commands from Google Assistant to the system which controls the appliances. The Google Assistant takes the user’s voice commands as input. “Adafruit IO” is a cloud based IoT web server which is used to create the switches virtually and linked with “IFTTT” which is used for creating simple conditional statements. These statements from IFTTT are added as voice commands for Google Assistant. The entire communication between the devices is based on internet i.e., with Wi-Fi. Whenever the command is given to the Google Assistant by the user, these commands are decoded and passed to “NodeMCU” which in turn controls the relays connected to it. Hence the device or appliance connected to the respective relay can be switched ON or OFF as per the demand of the user. Key words: Home automation, NodeMCU, IFTTT, Adafruit IO, Google Assistant Cite this Article: Sandeep Chintha and K. Ramya Prathima, Google Assistant Voice Activated Automatic Control of Home Appliances Using IOT and Node MCU, International Journal of Advanced Research in Engineering and Technology (IJARET), 12(3), 2021, pp. 120-127. http://iaeme.com/Home/issue/IJARET?Volume=12&Issue=3 http://iaeme.com/Home/journal/IJARET 120 [email protected] Sandeep Chintha and K. Ramya Prathima 1. INTRODUCTION “Home automation”, the name itself implies that it is automatic and electronic control of household features and appliances. The home utilities can be easily controlled through the Internet by using few elements of home automation system mainly sensors, actuators and controllers as per the requirement. “Internet of things” (IoT) is the modern developing technology which deals with the hardware devices and the software applications connected over the network. The main application of IoT is Home Automation. Automation leads increase in efficiency but with less effort. By using IoT, we could successfully control the devices in various areas, one of the examples is, to controlling the home automation using NodeMCU. Since the proposed system deals with voice activation, here the user’s speech is provided as the input to microphone and this home automation system will work only if the speech recognition is near and better. Thus, microphone recognizes the voice provided by the person or the user and sends to the recognizing module. Then the module searches for the nearest word and if there are any noises or disturbances. If the command given is correct, then action is performed. The home automation system gives immediate access to control all the home appliances. Moreover, home automation is a time saving system. For the physically challenged and elderly people, they find it difficult to reach the switchboard to turn on/off the appliances. So, a voice- controlled home automation system can be useful for them to access the appliances by sitting at a place. We use a Smartphone for giving user commands by using the Google assistant and NodeMCU, with Wi-Fi connectivity to gain access and control the devices or home appliances. 2. IDEOLOGY The idea is to control the different kind of home appliances by taking the voice command from the user via Google Assistant. The command is translated by the smart phone and if it is an appropriate command then it is sent to the IFTTT (If this, then that). The IFTTT acts as the mediator through which the user will communicate with the appliances. The IFTTT will send the signal to the NodeMCU which in turn send the appropriate command to the Relay which controls the appliances. We use a Smartphone for providing user commands using the Google assistant and NodeMCU, of course with Wi-Fi connectivity to access and also control the devices. Hence, we will be able to automate every appliance we need, sitting at a place. 3. HARDWARE ESSENTIALS 3.1 NodeMCU (ESP8266) The NodeMCU is an open source IoT hardware development board. It contains the Wi-Fi module (ESP8266) which is used to connect the devices with the network. ESP8266 is a cost- effective Wi-Fi chip, hence NodeMCU is an inexpensive firmware which is suitable for the construction of home automation systems. 3.2 Relay Module A relay is an electro-magnetic switch. Hence, the relay module can be used as series of switches which is used to turn ON or OFF the appliances. The relay can be operated in two configurations 3.2.1 Normally open relay By default, normally open relays are in open position which means that when they are not used, there is no contact between the circuits. When power is introduced, an electromagnet pulls first circuit in contact with second circuit and makes it a closed-circuit allowing power to flow. When power is turned off, again it behaves as an open circuit. http://iaeme.com/Home/journal/IJARET 121 [email protected] Google Assistant Voice Activated Automatic Control of Home Appliances Using IOT and Node MCU 3.2.2 Normally closed relay The normally closed relays are by default in closed position which implies that the circuit is closed. When a very high power is introduced then the first circuit move away from the second circuit to turn it off. In our requirement the relay module is to drive one appliance (bulb), thus one channel relay module is used. 4. SOFTWARE ESSENTIALS 4.1 Google Assistant Google Assistant or Google’s voice assistant is software which is used to give voice commands. It is a Virtual assistant software based on Artificial Intelligence which allow the user to control the applications in their device. In general, the keyword “Ok Google” is used to start the communication with the Google Assistant. Assistant is able to schedule alarms, search the Internet, adjust hardware settings and show this data in their Google account. This feature is available in almost all kinds of android mobile phones. The users can give the voice commands through Google Assistant to access smart devices and applications. 4.2 IFTTT (If This Then That) IFTTT - a service where a user can program a response to event using simple conditional statements. Simply, it is a website where if-else statements generally known as applets are created. To set up the application, first login the app. and conditional statements can be created. IFTTT facilitate us to define the commands to be given from the Google Assistant to switch ON or OFF the appliance. Whenever the command is given from Google Assistant, then IFTTT application will trigger Adafruit IO which will pass the command to NodeMCU through Wi-Fi to switch ON or OFF the respective appliance. 4.3 Adafruit IO Adafruit IO is basically a cloud service. User can store and visualize the data multiple times. User can connect over the internet anywhere and view the dashboards. This application allows user to create chart, graph etc. to display the data. The data is kept private and secured for us. This data can be accessed through a web-browser; hence it provides the ideal hub for operating various IoT applications. 4.4 Arduino IDE Arduino IDE – Arduino Integrated Development Environment is an open-source software that uses Java as its programming language mainly used for writing and compiling code into Arduino module. This also supports C, C++ programming languages. The code written by user consists of two functions, setup () and loop () which are compiled, linked with main () function. Arduino IDE is used to compile the program and to flash the code into Arduino board. 5. BLOCK DIAGRAM Figure 1 Block diagram for home automation using NodeMCU and Google Assistant http://iaeme.com/Home/journal/IJARET 122 [email protected] Sandeep Chintha and K. Ramya Prathima 6. CIRCUIT DIAGRAM Figure 2 Circuit connections of hardware components 7. PROCEDURES 7.1 Setting up Adafruit IO • Sign up for an account at www.Adafruit.io • Then create a dashboard at Adafruit, which acts as a user interface to control things remotely. Give a name to the dashboard and save it. • Next is to create feed i.e., the user interface. Then select the toggle feed, to control light ON/OFF. • Select the created feed and then configure. Here, 0 is used to switch OFF and 1 is used to switch ON. Figure 3 Dashboard after login 7.2 Applet's creation with IFTTT • Create an account on IFTTT by using the same sign-up credentials used for Adafruit. • After log-in, click on “My Applets” and select “New Applet”. Now configure the applets based on the requirement.
Load more

Recommended publications
  • Internet of Things Meets Brain-Computer Interface: a Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity
    JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015 1 Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity Xiang Zhang, Student Member, IEEE, Lina Yao, Member, IEEE, Shuai Zhang, Student Member, IEEE, Salil Kanhere, Member, IEEE, Michael Sheng, Member, IEEE, and Yunhao Liu, Fellow, IEEE Abstract—A Brain-Computer Interface (BCI) acquires brain signals, analyzes and translates them into commands that are relayed to actuation devices for carrying out desired actions. With the widespread connectivity of everyday devices realized by the advent of the Internet of Things (IoT), BCI can empower individuals to directly control objects such as smart home appliances or assistive robots, directly via their thoughts. However, realization of this vision is faced with a number of challenges, most importantly being the issue of accurately interpreting the intent of the individual from the raw brain signals that are often of low fidelity and subject to noise. Moreover, pre-processing brain signals and the subsequent feature engineering are both time-consuming and highly reliant on human domain expertise. To address the aforementioned issues, in this paper, we propose a unified deep learning based framework that enables effective human-thing cognitive interactivity in order to bridge individuals and IoT objects. We design a reinforcement learning based Selective Attention Mechanism (SAM) to discover the distinctive features from the input brain signals. In addition, we propose a modified Long Short-Term Memory (LSTM) to distinguish the inter-dimensional information forwarded from the SAM. To evaluate the efficiency of the proposed framework, we conduct extensive real-world experiments and demonstrate that our model outperforms a number of competitive state-of-the-art baselines.
    [Show full text]
  • The Internet of Things (Iot): an Overview
    Updated February 12, 2020 The Internet of Things (IoT): An Overview The Internet of Things (IoT) is a system of interrelated incorporation of IIoT and analytics is viewed by experts as devices connected to a network and/or to one another, the Fourth Industrial Revolution, or 4IR. exchanging data without necessarily requiring human-to- machine interaction. In other words, IoT is a collection of Internet of Medical Things (IoMT): The healthcare field electronic devices that can share information among has begun incorporating IoT, creating the Internet of themselves. Examples include smart factories, smart home Medical Things (IoMT). These devices, such as heart devices, medical monitoring devices, wearable fitness monitors and pace makers, collect and send patient health trackers, smart city infrastructures, and vehicular statistics over various networks to healthcare providers for telematics. Potential issues for Congress include regulation, monitoring, analysis, and remote configuration. At a digital privacy, and data security as discussed below. personal health level, wearable IoT devices, such as fitness trackers and smart watches, can track a user’s physical IoT Characteristics activities, basic vital data, and sleeping patterns. According IoT devices are often called “smart” devices because they to a 2019 survey by Pew Research, about one-in-five have sensors and can conduct complex data analytics. IoT Americans uses a smart watch or fitness tracker. devices collect data using sensors and offer services to the user based on the analyses of that data and according to Smart Cities: IoT devices and systems in the utilities, user-defined parameters. For example, a smart refrigerator transportation, and infrastructure sectors may be grouped uses sensors (e.g., cameras) to inventory stored items and under the category of “smart city.” Utilities can use IoT to can alert the user when items run low based on image create “smart” grids and meters for electricity, water, and recognition analyses.
    [Show full text]
  • Fog Computing: a Platform for Internet of Things and Analytics
    Fog Computing: A Platform for Internet of Things and Analytics Flavio Bonomi, Rodolfo Milito, Preethi Natarajan and Jiang Zhu Abstract Internet of Things (IoT) brings more than an explosive proliferation of endpoints. It is disruptive in several ways. In this chapter we examine those disrup- tions, and propose a hierarchical distributed architecture that extends from the edge of the network to the core nicknamed Fog Computing. In particular, we pay attention to a new dimension that IoT adds to Big Data and Analytics: a massively distributed number of sources at the edge. 1 Introduction The “pay-as-you-go” Cloud Computing model is an efficient alternative to owning and managing private data centers (DCs) for customers facing Web applications and batch processing. Several factors contribute to the economy of scale of mega DCs: higher predictability of massive aggregation, which allows higher utilization with- out degrading performance; convenient location that takes advantage of inexpensive power; and lower OPEX achieved through the deployment of homogeneous compute, storage, and networking components. Cloud computing frees the enterprise and the end user from the specification of many details. This bliss becomes a problem for latency-sensitive applications, which require nodes in the vicinity to meet their delay requirements. An emerging wave of Internet deployments, most notably the Internet of Things (IoTs), requires mobility support and geo-distribution in addition to location awareness and low latency. We argue that a new platform is needed to meet these requirements; a platform we call Fog Computing [1]. We also claim that rather than cannibalizing Cloud Computing, F. Bonomi R.
    [Show full text]
  • The Internet of Things: Impact on Public Safety Communications
    Cybersecurity and Infrastructure Security Agency The Internet of Things March 2019 The Internet of Things: Impact on Public Safety Communications The Internet of Things (IoT) is the network of physical devices and connectivity that enables objects to connect to one another, to the Internet, and exchange data amongst themselves.1, 2 IoT allows connected devices to be sensed or controlled remotely across network infrastructures, creating opportunities for more direct, cross-platform integration and improved efficiencies for the transfer of data between devices. IoT presents undeniable implications for public safety IoT goes beyond simply connecting communications. In turn, comprehensively addressing the objects to the Internet; it allows ever-growing IoT environment presents a unique challenge to physical objects to intelligently self- service providers, equipment manufacturers, and consumers. identify and communicate with other Harnessing network architecture changes and equipping devices, creating a new model of everyday objects to be IoT-enabled will allow public safety information sharing with a variety of stakeholders to maximize existing infrastructure investments potential applications. and provide near-real time decision support experiences that can change how they operate. IoT Benefits IoT-enabled devices can provide numerous benefits to public safety, as shown in Table 1. For example, a traffic accident response team could use the data collected from a variety of Internet-connected devices ― such as the involved vehicles (e.g.,
    [Show full text]
  • Home Automation System Using Google Assistant
    © 2021 JETIR June 2021, Volume 8, Issue 6 www.jetir.org (ISSN-2349-5162) HOME AUTOMATION SYSTEM USING GOOGLE ASSISTANT MUDASIR M, NEHA V, NIHAAL THATHIR K, PAVAN YADAV M, POLLARPU SREERAMULU, SMITHA PATIL B.Tech. Student, Department of Computer Science and Engineering, Presidency University, Bangalore, India B.Tech. Student, Department of Computer Science and Engineering, Presidency University, Bangalore, India B.Tech. Student, Department of Computer Science and Engineering, Presidency University, Bangalore, India B.Tech. Student, Department of Computer Science and Engineering, Presidency University, Bangalore, India B.Tech. Student, Department of Computer Science and Engineering, Presidency University, Bangalore, India Assistant Professor, Department of Computer Science and Engineering, Presidency University, Bangalore, India Abstract: Nowadays Technology keeps on upgrading. The idea behind Google assistant-controlled Home automation is to control home devices with voice. On the market there are many devices available to do that, but making our own is awesome. In this project, the Google assistant requires voice commands. Adafruit account which is a cloud based free IoT web server used to create virtual switches, is linking to IFTTT website abbreviated as “If This Than That” which is used to create if else conditional statements. The voice commands for Google assistant have been added through IFTTT website. In this home automation, as the user gives commands to the Google assistant, Home appliances like Bulb, Fan and Motor etc., can be controlled accordingly. The commands given through the Google assistant are decoded and then sent to the microcontroller, the microcontroller in turn control the relays connected to it. The device connected to the respective relay can be turned ON or OFF as per the users request to the Google Assistant.
    [Show full text]
  • Predictive Analysis of 3D Reram-Based PUF for Securing the Internet of Things
    Predictive Analysis of 3D ReRAM-based PUF for Securing the Internet of Things Jeeson Kim Hussein Nili School of Engineering Electrical and Computer Engineering RMIT University University of California Santa Barbara Melbourne, Australia Santa Barbara, USA [email protected] [email protected] Gina C. Adam Nhan Duy Truong Electrical and Computer Engineering School of Engineering University of California Santa Barbara RMIT University Santa Barbara, USA Melbourne, Australia gina [email protected] [email protected] Dmitri B. Strukov Omid Kavehei Electrical and Computer Engineering Electrical and Information Engineering University of California Santa Barbara The University of Sydney Santa Barbara, USA Sydney, Australia [email protected] [email protected] Abstract—In recent years, an explosion of IoT devices challenge [2, 3]. Widely used traditional cryptographic and its use leads threats to the privacy and security solutions, for example, advanced encryption standard concerns of individual users and merchandises. As one (AES) and elliptic curve cryptography (ECC), can be of promising solutions, physical unclonable function (PUF) has been extensively studied. This paper investigates quality used for both the integrity and the authentication of of randomness in the first generation of 3D analog ReRAM exchanging data and messages. PUF primitives using measured and gathered data from IoT hardware anti-counterfeiting, integrated circuit fabricated ReRAM crossbars. This study is significant as (IC) trust and physical tampering are also critical the randomness quality of a PUF directly relates to its tasks [4]. In 2014, defense advanced research projects resilience against various model-building attacks, includ- ing machine learning attack.
    [Show full text]
  • Paving the Way for Self-Driving Vehicles”
    June 13, 2017 The Honorable John Thune, Chairman The Honorable Bill Nelson, Ranking Member U.S. Senate Committee on Commerce, Science & Transportation 512 Dirksen Senate Office Building Washington, DC 20510 RE: Hearing on “Paving the Way for Self-Driving Vehicles” Dear Chairman Thune and Ranking Member Nelson: We write to your regarding the upcoming hearing “Paving the Way for Self-Driving Vehicles,”1 on the privacy and safety risks of connected and autonomous vehicles. For more than a decade, the Electronic Privacy Information Center (“EPIC”) has warned federal agencies and Congress about the growing risks to privacy resulting from the increasing collection and use of personal data concerning the operation of motor vehicles.2 EPIC was established in 1994 to focus public attention on emerging privacy and civil liberties issues. EPIC engages in a wide range of public policy and litigation activities. EPIC testified before the House of Representatives in 2015 on “the Internet of Cars.”3 Recently, EPIC 1 Paving the Way for Self-Driving Vehicles, 115th Cong. (2017), S. Comm. on Commerce, Science, and Transportation, https://www.commerce.senate.gov/public/index.cfm/pressreleases?ID=B7164253-4A43- 4B70-8A73-68BFFE9EAD1A (June 14, 2017). 2 See generally EPIC, “Automobile Event Data Recorders (Black Boxes) and Privacy,” https://epic.org/privacy/edrs/. See also EPIC, Comments, Docket No. NHTSA-2002-13546 (Feb. 28, 2003), available at https://epic.org/privacy/drivers/edr_comments.pdf (“There need to be clear guidelines for how the data can be accessed and processed by third parties following the use limitation and openness or transparency principles.”); EPIC, Comments on Federal Motor Vehicle Safety Standards; V2V Communications, Docket No.
    [Show full text]
  • Internet of Things
    INTERNET OF THINGS Internet of Things (IoT) or smart devices refers to any object or device that is connected to the Internet. This rapidly expanding set of “things,” which can send and receive data, includes cars, appliances, smart watches, lighting, home assistants, home security, and more. #BeCyberSmart to connect with confidence and protect your interconnected world. WHY SHOULD WE CARE? • Cars, appliances, wearables, lighting, healthcare, and home security all contain sensing devices that can talk to another machine and trigger other actions. Examples include devices that direct your car to an open spot in a parking lot; mechanisms that control energy use in your home; and tools that track eating, sleeping, and exercise habits. • New Internet-connected devices provide a level of convenience in our lives, but they require that we share more information than ever. • The security of this information, and the security of these devices, is not always guaranteed. Once your device connects to the Internet, you and your device could potentially be vulnerable to all sorts of risks. • With more connected “things” entering our homes and our workplaces each day, it is important that everyone knows how to secure their digital lives. SIMPLE TIPS TO OWN IT. • Shake up your password protocol. Change your device’s factory security settings from the default password. This is one of the most important steps to take in the protection of IoT devices. According to NIST guidance, you should consider using the longest password or passphrase permissible. Get creative and create a unique password for your IoT devices. Read the Creating a Password Tip Sheet for more information.
    [Show full text]
  • A18xji2iiis.Pdf
    1 2 Control LED by programming NODE MCU ESP8266-12E sing Arduino IDE NodeMCU Dev Board is based on widely explored esp8266 System on Chip from Express if. It combined features of WIFI access point and station + microcontroller and uses simple LUA based programming language. ESP8266 NodeMCU offers- Arduino-like hardware IO Event-driven API for network applications 10 GPIOs D0-D10, PWM functionality, IIC and SPI communication, 1-Wire and ADC A0 etc. all in one board Wi-Fi networking (can be uses as access point and/or station, host a webserver), connect to internet to fetch or upload data. Excellent system on board for Internet of Things (IOT) projects 3 Specifications SDIO 2.0, SPI, UART 32-pin QFN package Integrated RF switch,24dBm PA, DCXO, and PMU Integrated RISC processor, on-chip memory and external memory interfaces Integrated MAC/baseband processors Quality of Service management I2S interface for high fidelity audio applications On-chip low-dropout linear regulators for all internal supplies Proprietary spurious-free clock generation architecture Integrated WEP, TKIP, AES, and WAPI engines Hardware Required 4 NODE MCU ESP8266-12E – 1 Arduino DUE cable – 1 Mini Breadboard 160 points – 1 LED pack Jumper wires(male to male) - 20 pieces each Software Required Arduino IDE ((Programmable platform for Arduino boards) You can download it from this link: https://www.arduino.cc/en/Main/Software) Pin Description ESP8266-12E ESP8266EX offers a complete and self-contained Wi-Fi networking solution; it can be used to host the application or to offload Wi-Fi networking functions from another application processor.
    [Show full text]
  • Internet of Things Innovation Landscape Brief © Irena 2019
    INTERNET OF THINGS INNOVATION LANDSCAPE BRIEF © IRENA 2019 Unless otherwise stated, material in this publication may be freely used, shared, copied, reproduced, printed and/or stored, provided that appropriate acknowledgement is given of IRENA as the source and copyright holder. Material in this publication that is attributed to third parties may be subject to separate terms of use and restrictions, and appropriate permissions from these third parties may need to be secured before any use of such material. ISBN 978-92-9260-142-3 Citation: IRENA (2019), Innovation landscape brief: Internet of Things, International Renewable Energy Agency, Abu Dhabi. ACKNOWLEDGEMENTS This report was prepared by the Innovation team at IRENA’s Innovation and Technology Centre (IITC) with text authored by Sean Ratka, Arina Anisie, Francisco Boshell and Nadeem Goussous. This report benefited from the input and review of experts: Tiago Maouras (EDP), Stephen Woodhouse and Tom Ingelse (Poyry), Jaideep Sandhu (Engie), along with Emanuele Taibi, Elena Ocenic, Nina Litman-Roventa and Paul Komor (IRENA). Report available online: www.irena.org/publications For questions or to provide feedback: [email protected] DISCLAIMER This publication and the material herein are provided “as is”. All reasonable precautions have been taken by IRENA to verify the reliability of the material in this publication. However, neither IRENA nor any of its officials, agents, data or other third- party content providers provides a warranty of any kind, either expressed or implied, and they accept no responsibility or liability for any consequence of use of the publication or material herein. The information contained herein does not necessarily represent the views of all Members of IRENA.
    [Show full text]
  • Smart Garbage Monitoring System Using
    SMART GARBAGE MONITORING SYSTEM USING IOT Y.Himanth1, B.V.Pavan Kumar2, M.Lalitha Bhavani 3 1,2,3Asst.Professor, ECE Department, SASI Institute of Technology & Engineering, Tadepalligudem, India Abstract Helps in maintaining the surrounding of In the recent years, there was a rapid growth dustbins clean. in population which leads to more waste The statistics can be used to estimate area disposal. So, a proper waste management wise quantity of waste which in turn used system is necessary to avoid spreading some to rank areas. deadly diseases. But due to lack of resources, In our system, the Smart dust bins are ineffective groundwork, some waste is not connected to the internet to get the real time collected which poses serious health hazard to information of the smart dustbins. These the surrounding environment. The dustbins are interfaced with Arduino based government of India announced smart cities system with ultrasonic sensors and weight and the key to smart cities is cleanliness. In sensors and Node MCU. Where the ultrasonic support of clean city we design a dustbin sensor detects the level of the dust in dustbin and which can interact with the cloud (free cloud sends the signals to Node MCU the same signal for demonstration) and push its filling percent is encoded and send to the application and it is at regular intervals (say every 1 hour or its received. The data has been received, analyzed status set to full). If the status of the dustbin is and processed in the database, which displays the filled, a message is pushed to the municipal status of the Garbage in the dustbin on the person who is responsible to empty the bin.
    [Show full text]
  • Wireless Car Using WIFI – Iot - Bluetooth
    International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 06 | June 2019 www.irjet.net p-ISSN: 2395-0072 Wireless Car Using WIFI – IoT - Bluetooth Dhruv Ketan Kotecha1 1Department of Electronics Engineering, K. J. Somaiya College of Engineering (Autonomous), (Affiliated to University of Mumbai), Mumbai, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - A working prototype has been designed to Existing technologies related to the development of the control a car Wirelessly using an Android Application. This is project were studied. These technologies even used arduino done with the help of Arduino, a microcontroller, interfacing it as a backbone of the entire prototype and leveraged the with Bluetooth module and wifi module for better connectivity. efficiency of the controlling system using the Arduino Android application is used by the User to send data wirelessly NodeMCU module. This ensured a wide range using the either by Bluetooth Connection or by connecting to the prototype.[1] This project differs from the studied Arduino using Wifi. This data is an input to the microcontroller system and the microcontroller uses it as the technologies as it also captures the real time video and controlling parameter to the underlying hardware. The provides user the privilege to view it using an online cloud prototype also captures the real time video using a video service that comes with the Camera module. Also the project camera interfaced with the arduino and the user can locate is developed such that it initiates the connection between the position of the device connecting to the cloud service three technologies: Wifi, Bluetooth and IOT provided for the captured real time video.
    [Show full text]