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IRJET- Iot based Interactive Display Unit using Raspberry PI
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 3092 IoT BASED INTERACTIVE DISPLAY UNIT USING RASPBERRY PI Swetha Mary R1, Preethi C2, Dr. Kamatchi Sundari V3 1,2Student, Dept. of ECE, Prince Shri Venkateshwara Padmavathy Engineering College, Tamil Nadu, India 3Professor, Dept. of ECE, Prince Shri Venkateshwara Padmavathy Engineering College, Tamil Nadu, India ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract - In today’s modern world, intelligent systems are present in smart phones and tablet-based Computers. In future, more intelligent devices will came into existence. One such intelligent device is this smart display unit. The mainaim of the proposed system is to extend the availability of smart systems. The system acts as a smart display which displays date, time, temperature and humidity, recognizes face for security purpose and recognize speech to send mail, save documents and display weather report. This system is built with raspberry pi, camera, and some sensors whichisperfectly suitable for smart homes. Weather reports are extractedfrom the IoT (weather cloud) through Application Program interfacing with the display unit. It analyzes our speech by using mobile Bluetooth and result gets displayed in display. That designed smart display has advantage of small size and less weight and more compact to use and it is suitable for families. Key Words: Raspberry Pi, Linux, Interactive Display, Weather Cloud, Mobile Bluetooth, Motion sensing and Face recognition. 1. INTRODUCTION Effective time management and security are essential factors in increasing production of day-to-day life. Time management is possible through Integration of technology into people’s daily lives.Theuseofproductssuch as tablets, PCs, and smart phoneshavegivenpeopleaccessto the tools needed to be productive. However, though successful technological productshavebeenusedtoincrease productivity, the use of technology has become anothertask on everyone’s daily to-do list. Technology should mold to our schedule, not the other way around. That is where the "Smart" display unit idea originated. "Smart" display units have been envisioned for years, part of the broader trend in imbuing everyday objects with various "smarts" to improve our lives. The smart display unit idea aimed to integrate technology seamlessly into people’s lives by putting it whereeveryone’s routine eventually collides.Thegoal ofthesmartdisplayunit is to increase a user’s productivity by saving their time. The smart display makes the smart buildings smarter. The Raspberry Pi 3 model B is used in this project. It displays the date, time temperature and humidity.The PIR sensor is used for motion recognition. When it detects any motion the camera is turned on and the image is captured. Face recognition is done using Haar cascade algorithm. When the image is authorized, it waits for voice commands. Else the imageof theunauthorizedpersonissent through Gmail with a alert message and a link to see what is happening in house. Speech recognitionisdoneusingmobile Bluetooth to take notes and create a document, send mail and get weather updates using weather cloud. 1.1 INTERNET OF THINGS The Internet of Things (IoT) isa interrelatedcomputing device that are provided with unique identifiers (UIDs). It has an ability to transfer data over a network without requiring human interaction. So it is mostly used in wireless technologies. Here it is used to access weather cloud and acquire weather updates. By this technology people can easily interact with the devices. 2. RASPBERRY PI Raspberry pi 3 Model B, which is used here is a third generation Raspberry Pi. It is a powerful credit card sized single board microcomputer. SD card is used for storage purposes. Since there is a need for internet access to use IoT, Raspberry Pi 3 model b which has Bluetooth and Ethernet connectivity. It is 10 times faster than the 1st generation Raspberry Pi. 2.1 SPECIFICATIONS OF RASPBERRY PI 3 Table -1: Features of Raspberry Pi 3 Board Raspberry Pi 3 Model B Processor Broadcom BCM2837 CPU core Quadcore ARM Cortex-A53, 64 bit RAM 1 GB GPIOs 2 X 20 Pin Header USB Ports 4 X USB 2.0 Wireless Connectivity 802.11n Wireless LAN and Bluetooth 4.1 3. SYSTEM DESIGN The InteractiveDisplayconsistsofRaspberryPi3whichis the heart of the system. Linux OS is installed using SD card. Python language is used for programming in Raspberry Pi.
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 3093 PIR(Passive Infrared Sensor) sensor is used for motion analysis. It detects the moment of any human or animals. When a human passes in front of the system infrared radiation will change the output voltage and this change is considered as motion detected. Once motion is detected, the camera is turned ON. It is a method for reducing power consumption. DHT (Digital Humidity and Temperature) sensor is connected to Raspberry Pi in order to display the current room temperature and humidity. Mobile Bluetooth is used for giving speech input. The system acts according to the given voice input and execute a set of tasklike sending Gmail,creating word document,view current and forecast weather updates, etc. API interface is used to access Gmail for authentication processes. When an unauthorizedpersonisdetected,his/her image is captured and send to the authorized person’s Gmail with a link in order to see live stream. The system block diagram is shown in Fig -1. Fig -1: System Block Diagram 4. DESIGN OF SYSTEM HARDWARE As shown in Fig-2, the hardware components are connected to the GPIO (General Purpose Input Output) pins of Raspberry Pi 3. It consists of four supplypins,eightground pins and others are the general purpose pins In PIR Sensor, the supply, Gnd and Vcc are connected to the corresponding GPIO pins. In Temperature sensor, the data pin, Vcc, ground are connected to the left out corresponding GPIO pins. Fig – 2: Pin Diagram 5. AUTHENTICATION PROCESS In authentication, the human face is recognized using Haar cascadealgorithm. If itisunauthenticated,itsendaalert mail with a link to watch the live happenings. It can be used for security purposes. 5.1 Haar Cascade algorithm Haar cascade algorithm is a machine learning based approach. The cascadefunctionistrainedfroma positiveand negative images. The algorithm has four stages, • Haar Feature Selection • Creating Integral Images • Adaboost Training • Cascading Classifiers The first step is to create a dataset in the name of an authorized person which consists of his/her images. When the camera is ON, the captured image getscomparedwiththe images in dataset. In Haar feature selection, the image is divided into multiple windows. These images are converted into a matrix based on gray scale intensity. The faced and unfaced images are separated using Adaboost training. Cascading classifiers are used to select the unique features in the face forspeeding up the process. Each saved feature in the data set is compared with the feature of the current image. If more number of features are similar then that dataset name gets displayed in the screen. If the features are not recognized, then it is considered to be an unauthorized person. Automatically the device sends the person’s image through Gmail. Raspberry Pi 3 Temperature Sensor Camera PIR Sensor WI-FI Display Mobile Bluetooth
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 3094 6. FLOW CHART Fig -3: Process Flow When the device is ON, the default parameters like date, time, temperature and humidity gets displayed. If motion is detected by the PIR sensor, authenticationprocess is carried out. In case of authorized person,thenameoftheperson is displayed and it waits for the voice commands displaying “waiting for voice command” as shown in Fig-4. Fig -4: Displayed Parameters The processes like sending mail, creating word document, getting weather reports can be executed using voice command through mobile Bluetooth. One such execution is shown in fig -5. Fig -5: Weather Report For emergency purposes, instead of creating the word document, we can give voice input which can be converted into text document as shown in Fig-6 and Fig -7. Through the same voice input, the document can be sent to any e-mail ID. Fig -6: Taking notes Fig -7: Created Text Document
4.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 3095 If the authentication fails, the person’s image issent to the registered Gmail through API interfacing. The mail also includes a link to see what is happening in live stream. 7. CONCLUSION The smart display developed bya hostRaspberryPi, a Single board computer which is connected to the network via Wi-Fi, weather information obtained through API of weather cloud, date, time, room temperature will gets displayed in the smart display unit. The user can interact mobile through APP and user can communicate through voice synthesis module. Thus the system could also be extended with voice controls and GPIOs. Andthedisplaywill respond according to the user. Imagesarecapturedbased on motion detection and sentto theserverwheregetssubjected to a face recognition procedure. Thus, it suggest that the developed recognition procedure is able to achieve a accuracy on the dataset. This shows a feasibility of the system as a low cost component for home automation. The system also contributed to a higher level of security. Smart display design which has enough advantages like simple to use, small size, user friendly and it suitableforfamilyhomes. REFERENCES 1) Alexander Kuranov,Rainer Lienhart,Vadim Pisarevs ky (Jan 2003) ‘Empirical Analysis of Detection Cascades of Boosted Classifiers for Rapid Object Detection’ In: MichaelisB., Krell G. Pattern recognitio, Vol 2781. 2) Amir O. Herbawi, Ayman A. Wazwaz, Mohammad J. Teeti, Sajed Y. Hmeed (May 2018)‘RaspberryPiand compute-based face detection and recognition system’ 4th International Conference on Computer and Technology Applications (ICCTA). 3) Burcu Kır Savaş, Summeyya İlkin, Yasar berkilikin (May 2016) ‘The realization of face detection and fullness detection in medium byusingHaarCascade Classifiers’24th Signal Processing and Communication Application Conference(SIU). 4) David Irwin, Dilip Kumar Krishnappa, Eric Lyons (Dec 2012) ‘Cloud Computing For Short-Term Mobile Weather Forecast’ IEEE 31st International Performance Computing and Communications Conference (IPCCC). 5) Fatma Ok, Hakan Ucgun, Murat Can, Ugur Yuzgen (Oct 2017) ‘Smart mirror applications with raspberry Pi’International ConferenceonComputer Science and Engineering(UBMK). 6) Kruti Goyal, Kartikey Agarwal, Rishi Kumar (April 2017) ‘Face detection and tracking : Using OpenCV’ International Conference of Electronics, CommunicationandAerospaceTechnology(ICECA). 7) Mrs. Mikhal John (June 2017) ’Comparative Study On Various System Based On Raspberry-Pi Technology’, International Journal of Advanced Research in Computer Science. 8) Mustafa Turkay (Jan 2017) ‘Object Detection and Tracking for Real Time Field Survelliance Applications’, University of Turkish Aeronautical Association. 9) Sudhakar.M, Vandana Khare, D VijayKrishna Kanth (July 2017) ‘Speech to text conversion & display using Raspberry Pi’, IOSR Journal of Computer Engineering(IOSR-JCE),Volume 19,Issue 4.. 10) Susamma Barua (Feb 2001) ‘An interactive multimedia system on computer architecture, organization, and design’, IEEE Transaction on education, Volume: 44, Issue 1. 11) Xianghua Fan, Fuyou Zhang, Haixia Wang, Xiao Lu (May 2012) ‘Facial Recognition Using OpenCV’, Chinese Control and Decision Conference(CCDC).
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