DOCSLIB.ORG

Smart Home Systems

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Smart Home Systems University of Central Florida Smart Home Systems Senior Design 1 Group 10 Vu Ha Joel LeGros Thien Luu Daniel Moody Summer Semester 2012 August 3rd, 2012 i Table of Contents 1 - Executive Summary…………………………………………………………. 1 2 - Project description…………………………………………………………… 2 2.1 - Motivation…………………………………………………………… 2 2.1.1 - General Motivations……………………………………... 2 2.1.2 - Energy Efficiency………………………………………… 4 2.1.3 - Future Implementation………………………………….. 5 2.2 - Requirements and Specs………………………………………… 7 2.3 - Objectives…………………………………………………………... 9 3 – Research……………………………………………………………………... 10 3.1 - Phone Applications………………………………………………… 10 3.1.1 - Android Application……………………………………… 10 3.1.2 - IPhone Application………………………………………. 11 3.2 - Computer application……………………………………………… 12 3.2.1 - Java Based………………………………………………. 13 3.2.2 - Visual Basic Based……………………………………… 13 3.2.3 - Web Server………………………………………………. 14 3.3 - Voice command……………………………………………………. 15 3.3.1 - CMU Sphinx……………………………………………… 15 3.3.2 - Dragon Mobile…………………………………………… 16 3.4 - Video system……………………………………………………… 17 3.4.1 - OpenCV………………………………………………….. 18 3.4.2 – Cameras…………………………………………………. 19 3.4.2.1 - Logitech Quickcam Pro 9000………………... 19 3.4.2.2 - Logitech HD Webcam C525…………………. 19 3.4.2.3 - Logitech Alert 750n…………………………… 19 3.5 - Embedded Internet Server……………………………………….. 22 3.5.1 - Atmega644a…………………………………………….. 22 3.5.2 - The Spinneret……………………………………………. 22 3.6 - PJSIP……………………………………………………………….. 23 3.6.1 - SIP………………………………………………………... 23 3.6.2 - RTP……………………………………………………….. 26 3.6.3 - SDP………………………………………………………. 29 3.6.4 - VoIP………………………………………………………. 29 3.6.5 - SMS………………………………………………………. 30 3.6.6 - NAT Addressing…………………………………………. 31 3.7 - Lighting……………………………………………………………… 31 3.8 - Motion sensing…………………………………………………….. 33 3.8.1 - Basic types of 'motion' sensors………………………... 33 3.8.2 - How PIR Operation works……………………………… 34 3.8.3 - Ultrasonic Sensor Technology…………………………. 35 3.8.4 - Sensors Choosing………………………………………. 36 3.8.5 – Connecting………………………………………………. 37 3.9 - Digital to Analog Converters……………………………………… 38 ii 3.10 – Codecs………………………………………………………........ 38 3.10.1 - Audio……………………………………………………. 38 3.10.2 - Video……………………………………………………. 38 3.11 - Main Circuit Board……………………………………………….. 40 3.11.1 - Microprocessor Considerations………………………. 40 3.11.2 - Printed Circuit Board…………………………………... 42 3.12 - Microcontrollers…………………………………………………… 43 3.13 - Home Security……………………………………………………. 45 3.13.1 - Integrating into home automation…………………….. 46 3.13.2 - The parts for home security…………………………… 48 3.13.2.1 - Wired sensors………………………………… 48 3.13.2.2 - Wireless sensors…………………………….. 50 3.13.2.3 - Passive Infrared Receiver (PIR)………….... 53 3.13.3 - RFID……………………………………………………... 55 3.13.3.1 - Security Concern…………………………….. 57 3.13.3.2 - Alternatives ………………………………….. 57 3.13.3.3 - Trade-offs ……………………………………. 58 3.13.3.4 - RFID access vs. Key access……………….. 58 3.14 - Communication Standards………………………………………. 58 3.14.1 - ZigBee…………………………………………………… 59 3.14.2 - Z-Wave………………………………………………….. 60 3.14.3 - X10………………………………………………………. 61 3.14.4 - INSTEON………………………………………………... 61 3.14.5 - Bluetooth………………………………………………… 62 3.14.6 - WiFi……………………………………………………… 62 3.14.7 - Communication summary……………………………... 66 3.15 - Air Sensors……………………………………………………….. 67 3.16 - Flood Sensors…………………………………………………….. 72 3.17 - AC thermostat…………………………………………………….. 72 3.18 - Back-up Power…………………………………………………… 75 3.18.1 - Backup Power Supply: Solar Power ………………… 83 3.19 - P2P………………………………………………………………… 83 4 - Design Summary……………………………………………………………... 84 4.1 - Software…………………………………………………………….. 84 4.1.1 - Class Diagrams………………………………………….. 87 4.1.2 - Flow Diagrams…………………………………………… 88 4.1.3 - Audio Software…………………………………………… 92 4.1.4 - Audio Flow Diagrams……………………………………. 94 4.2 – Hardware…………………………………………………………… 96 4.2.1 - Architectures……………………………………………… 96 4.2.2 - RFID………………………………………………………. 98 4.2.3 - Power Supply…………………………………………….. 100 4.2.4 - Main MCU and Processor………………………………..100 4.2.5 - JTAG connections……………………………………….. 108 4.3 - Parts List……………………………………………………………. 109 iii 5 - Prototype Construction/Testing…………………………………………….. 110 5.1 - Parts Acquisition…………………………………………………… 110 5.2 - Hardware Implementation………………………………………… 110 5.3 - Software Implementation…………………………………………. 111 5.4 - Physical Prototype Build…………………………………………... 111 6 – Testing………………………………………………………………………… 113 6.1 - Sensors and Microcontroller Testing…………………………….. 113 6.2 - System Tests………………………………………………………...115 6.3 - Hardware Tests……………………………………………………...116 6.4 - Software Tests……………………………………………………… 117 7 - Project Actualization and Implementation…………………………………118 7.1 - Android Layout………………………………………………………120 7.2 - Spinneret Web Server………………………………………………121 7.3 - Xbee Control…………………………………………………...........123 7.4 – PCB Design…………………………………………………………125 8 – Project Management ………………………………………………………...126 8.1 – Budget and Financing…………………….……………………….126 8.2 – Milestone chart……………...………………………………………128 8.3 – Work Distribution……………………………………………….......128 9 – Final Summary 9.1 – Conclusion……………………………………………………….....129 9.2 – Final Summary……………………………………………………...129 10 – Appendix Appendix A - Schematics Appendix B - Permissions Appendix C - Tables, Figures Index and Sources 1 1 - Executive Summary This project is the culmination of the UCF engineering experience. One of the major goals in this project was to apply the education that’s been received here at UCF to the project. The group spans both Electrical and Computer Engineering areas of study here at UCF, so the goal was to employ areas of both of those disciplines into the project. This project has given us the opportunity to design schematics, work on printed circuit boards, use microcontrollers, wireless communication, and all the while integrating it with an original piece of software. Our approach for the home automation is based around comfort and intuitive customization for the end user. This project’s main way of doing that is by integration of the smart phone for ease and familiarity to interface the whole design. We chose this because these days, the majority of the people in the world own a smart phone. This makes the product not only very marketable, but also very convenient. Even in your own home, you are likely to have your phone with you at all times. Even if not directly on your person, it’s probably not very far. Maybe even in the next room. Our goal is to make the phone into the tv remote of your home. Another motivation is to help with environmental impact and energy efficiency potential for the smart home. Wasted energy can be prevented through a smart home system with the automation of lighting, and power. By using low powered embedded devices in the project, this helps keep energy consumption down for the house. Texas Instruments is the main contributor to that for our main microcontroller and processor. We chose a Texas instruments microcontroller with an ARM 9 processor to give us the power we needed, but also while remaining efficient on power consumption. One of the main motivations for the project was to send audio throughout the house wirelessly. This was a difficult feat, so we knew we needed help to figure this out. We found the help in a company in Orlando called Alcorn McBride. The company has years of experience and were a big help in guiding our beginning stages to figuring out how to do this. The first step to doing wireless audio was to find a protocol stack. Through a little bit of digging we found a free open-source multimedia communication library called PJSIP. This library employed two important protocols for our project. The two protocols, RTP and SIP, allow the audio to be transmitted wirelessly from the phone to our Texas Instruments microcontroller. This requires that the user’s phone and the microcontroller be connected to the Internet. The phone will gain access to a server to control functions of the microcontroller. This will allow the user to gain access to functions when not in the home as well. The ability of this communication will allow the user to be specific to what room in the house they are sending audio to as well as the house as a whole. Volume control and room selection will be directly controlled from an app via your mobile device and the central micro controller. An intercom will also be featured in this project. Using the intercom starts with the integration of your mobile device over wifi. The mobile device will use the PJSIP protocol stack to help the phone and embedded device talk over wifi. Sensors will detect what room you are in of the house so that the nearest speakers will dim in volume to avoid feedback looping into the microphone of 2 your mobile device. Video will also be used to have surveillance of the front entrance to the house. Integrating the audio with this allows the user to communicate to that guest if they are unable to come to the door. Lights will also be controlled from the phone in the central app of the project. The ability to turn them on and off to any specific room will be available. There will also be an “all off” feature as well. This will be helpful for turning all lights off in the house when leaving for vacation or if no one will be home. The presentation for the project will be demonstrated through a scaled down version of the house. There will be two rooms. One will be acting as the living room, and one will be acting as the front door. We will also record a video presentation for later viewing upon the groups senior design website. This will go into detail on how the scalability of
Load more

Recommended publications
  • FULLTEXT01.Pdf
    Designing transparent display experience through the use of kinetic interaction A Master’s Thesis by Interaction Design Master’s Programme Rafael Rybczyński School of Arts and Communication (K3) Malmö University, Sweden August 2017 MSwedenugust 2017 Designing transparent display experience through the use of kinetic interaction Interaction Design Master’s Programme School of Arts and Communication (K3) Malmö University, Sweden August 2017 Author: Rafael Rybczyński Supervisor: Susan Kozel Examiner: Clint Heyer Thesis Project I 15 credits 2017 Acknowledgements Over the lengths of this thesis project I have received support and encouragement from a many people. First of all, I would like to thank my supervisor Susan Kozel for advising me to trust my own instinct. Moreover I would like humbly to thank all the participants without whom this project would not have been possible. Also humbly I thank Alvar, Sanna, and Susanne for shelter and feedback. For proofreading my thanks goes to Jan Felix Rybczyński and Sanna Minkkinen. Finally, my deepest gratitude is reserved to my father Dr. med. Jerzy Antoni Rybczyński. Rest in peace. I would have wished for you reading this paper. Author’s notes Often during the process of doing this study I was asked why transparent displays. What’s the point? Probably I would say this goes way back to my childhood when enjoying my father reading novel stories to us as good night stories. A good example of great stories was Scheerbart’s utopian architectural vision The Gray Cloth who told about the great Swiss architect who traveled by an airship. Wherever he went, he designed buildings made from brightly colored glass, including the roof.
    [Show full text]
  • Smart Dust: Communicating with a Cubic- Millimeter Computer
    COVER FEATURE Smart Dust: Communicating with a Cubic- Millimeter Computer The Smart Dust project is probing microfabrication technology’s limitations to determine whether an autonomous sensing, computing, and communication system can be packed into a cubic-millimeter mote to form the basis of integrated, massively distributed sensor networks. Brett ecreasing computing device size, increased • monitoring environmental conditions that affect Warneke connectivity, and enhanced interaction with crops and livestock; the physical world have characterized com- • building virtual keyboards; Matt Last puting’s history. Recently, the popularity of • managing inventory control; Brian Dsmall computing devices, such as handheld • monitoring product quality; Liebowitz computers and cell phones, burgeoning Internet • constructing smart-office spaces; and growth, and the diminishing size and cost of sensors— • providing interfaces for the disabled. Kristofer S.J. especially transistors—have accelerated these trends. Pister The emergence of small computing elements, with SMART DUST REQUIREMENTS University of sporadic connectivity and increased interaction with Smart Dust requires both evolutionary and revolu- California, the environment, provides enriched opportunities to tionary advances in miniaturization, integration, and Berkeley reshape interactions between people and computers energy management. Designers can use microelectro- and spur ubiquitous computing research.1 mechanical systems (MEMS) to build small sensors, The Smart Dust project2 is exploring whether an optical communication components, and power sup- autonomous sensing, computing, and communication plies, whereas microelectronics provides increasing system can be packed into a cubic-millimeter mote (a functionality in smaller areas, with lower energy con- small particle or speck) to form the basis of integrated, sumption. Figure 1 shows the conceptual diagram of massively distributed sensor networks.
    [Show full text]
  • Kent Academic Repository Full Text Document (Pdf)
    Kent Academic Repository Full text document (pdf) Citation for published version Arief, Budi and Blythe, Phil and Fairchild, Richard and Selvarajah, Kirusnapillai and Tully, Alan (2008) Integrating Smartdust into Intelligent Transportation System. In: 10th International Conference on Application of Advanced Technologies in Transportation (AATT 2008), 27-31 May 2008, Athens, Greece. DOI Link to record in KAR https://kar.kent.ac.uk/58716/ Document Version UNSPECIFIED Copyright & reuse Content in the Kent Academic Repository is made available for research purposes. Unless otherwise stated all content is protected by copyright and in the absence of an open licence (eg Creative Commons), permissions for further reuse of content should be sought from the publisher, author or other copyright holder. Versions of research The version in the Kent Academic Repository may differ from the final published version. Users are advised to check http://kar.kent.ac.uk for the status of the paper. Users should always cite the published version of record. Enquiries For any further enquiries regarding the licence status of this document, please contact: [email protected] If you believe this document infringes copyright then please contact the KAR admin team with the take-down information provided at http://kar.kent.ac.uk/contact.html INTEGRATING SMARTDUST INTO INTELLIGENT TRANSPORTATION SYSTEMS Budi Arief1, Phil Blythe2, Richard Fairchild3, Kirusnapillai Selvarajah4, Alan Tully5 ABSTRACT. The last few years have seen the emergence of many new technologies that can potentially have major impacts on Intelligent Transportation Systems (ITS). One of these technologies is a micro-electromechanical device called smartdust. A smartdust device (or a mote) is typically composed of a processing unit, some memory, and a radio chip, which allows it to communicate wirelessly with other motes within range.
    [Show full text]
  • Openfog Reference Architecture for Fog Computing
    OpenFog Reference Architecture for Fog Computing Produced by the OpenFog Consortium Architecture Working Group www.OpenFogConsortium.org February 2017 1 OPFRA001.020817 © OpenFog Consortium. All rights reserved. Use of this Document Copyright © 2017 OpenFog Consortium. All rights reserved. Published in the USA. Published February 2017. This is an OpenFog Consortium document and is to be used in accordance with the terms and conditions set forth below. The information contained in this document is subject to change without notice. The information in this publication was developed under the OpenFog Consortium Intellectual Property Rights policy and is provided as is. OpenFog Consortium makes no representations or warranties of any kind with respect to the information in this publication, and specifically disclaims implied warranties of fitness for a particular purpose. This document contains content that is protected by copyright. Copying or distributing the content from this document without permission is prohibited. OpenFog Consortium and the OpenFog Consortium logo are registered trademarks of OpenFog Consortium in the United States and other countries. All other trademarks used herein are the property of their respective owners. Acknowledgements The OpenFog Reference Architecture is the product of the OpenFog Architecture Workgroup, co-chaired by Charles Byers (Cisco) and Robert Swanson (Intel). It represents the collaborative work of the global membership of the OpenFog Consortium. We wish to thank these organizations for contributing
    [Show full text]
  • Swarm Robotics Applications Using Argos and Mavproxy |
    WHITE PAPER Autonomous Swarms in Active Services Abstract Robotics has evolved across multiple industry segments, from manufacturing to advanced technology, surveillance, and disaster management. Typically, robotics-driven processes are characterized by a set of pre-defined requirements and operations, carried out by individual robots (bots), and performed at an accelerated pace. However, collective decision making by autonomous intelligent robots, leveraging the concepts of machine learning and artificial intelligence (AI), is becoming increasingly important for agile operations. Technological advances have helped realize swarm operations, in which autonomous bots work in a coordinated manner to effectively execute tasks. In this paper, we propose the approach, design, and implementation of a robot swarm ecosystem that enables: n Active servicing: Collective decision making and execution to solve problems n Collaboration: Automated swarm response to priority services, without external directives n Automaticity: Leveraging blockchain for real- time processing of services being advertised as well as exchange of information WHITE PAPER Autonomous Swarms: Current Trends and Challenges The robotics landscape is rapidly evolving, with bots already being deployed for enterprise operations, commercial purposes, home automation and industrial applications. Robot swarms are being leveraged across segments including retail, travel, healthcare, manufacturing and semiconductors, for a variety of use cases. These swarms are being enabled with the autonomy to operate independently once a preset task or a passive service is assigned, leading to an evolved ecosystem of autonomous nodes or swarms. However, autonomous nodes/swarms executing passive services have two specific failure points. One is central management and the other is a non-configurable preset task. De-centralized management is a viable option, but it only scales down the risk and does not eliminate the point of failure.
    [Show full text]
  • Smart Dust Technology
    250, Mini-Project Report Amy Haas Smart Dust Technology Smart dust is an emerging technology with a huge potential for becoming an internationally successful commercial venture. Now is the best time to invest in smart dust – right at the point at which the scientific community is close to perfecting the technology and its applications but its potential has not yet been realized by the capitalist market. Fundamental Concept Smart dust is a theoretical concept of a tiny wireless sensor network, made up of microelectromechanical sensors (called MEMS), robots, or devices, usually referred to as motes, that have self-contained sensing, computation, communication and power1. According to the smart dust project design created by a team of UC Berkeley researchers2, within each of these motes is an integrated package of “MEMS sensors, a semiconductor laser diode and MEMS beam-steering mirror for active optical transmission, a MEMS corner-cube retroreflector for passive optical transmission, an optical receiver, signalprocessing and control circuitry, and a power source based on thick-film batteries and solar cells.” The intent is that these motes will eventually become the size of a grain of sand or a dust particle, hence the name “smart dust”, but the technology still has a long way to go to achieve its target size. In current sensor technology, the sensors are about the size of a bottle cap or small coin. As with most electronic devices or technologies, the biggest challenges in achieving actual smart dust are the power consumption issues and making the batteries small enough. Although there is a lot of work being done on solar cells to keep the motes self-sustaining, the components are just not small enough yet to actually be considered smart dust.
    [Show full text]
  • Jul 2 7 2000
    THE SNAP! TOOLKIT FOR DEVELOPING SENSOR NETWORKS AND APPLICATION TO XC SKIING BY MATTHEW B. DEBSKI Submitted to the Department of Electrical Engineering and Computer Science in Partial Fulfillment of the Requirements for the Degrees of Bachelor of Science in Electrical Engineering and Computer Science and Master of Engineering in Electrical Engineering and Computer Science at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY May 2000 2 20C: MASSACHUSETTS INSTITUTE © Massachusetts Institute of Technology 2000. All rights reserved. OF TECHNOLOGY JUL 2 7 2000 LIBRARIES Author Department of Electrical Engineering and Computer Science May 18, 2000 Certified by MichaelJ. Hawley Assistant Prolssor of Media Arts and Sciences Alex Dreyfoos Jr. (1954) Career Development Professor of Media Arts and Sciences Thesis Supervisor Accepted by Arthur C. Smith Chairman, Department Committee on Graduate Theses ' pT THE SNAP! TOOLKIT FOR DEVELOPING SENSOR NETWORKS AND APPLICATION TO XC SKIING BY MATTHEW B. DEBSKI Submitted to the Department of Electrical Engineering and Computer Science in Partial Fulfillment of the Requirements for the Degrees of Bachelor of Science in Electrical Engineering and Computer Science and Master of Engineering in Electrical Engineering and Computer Science May 18, 2000 ABSTRACT Athletes, health professionals, animal specialists, meteorologists, and other investigators increasingly employ small, human-scale sensor networks in their disciplines. The sensor networks used by each field and study have unique requirements. Regardless, these networks all collect and store data, and often display or transmit them. The Snap! toolkit takes advantage of the similarities among sensor networks to make prototyping them fast and easy. Simultaneously, it acknowledges their inherent differences, remaining flexible in order to accommodate the needs of different systems.
    [Show full text]
  • Supporting Mobile Swarm Robotics in Low Power and Lossy Sensor Networks 1 Introduction
    1 Supporting Mobile Swarm Robotics in Low Power and Lossy Sensor Networks Kevin Andrea [email protected] Robert Simon [email protected] Sean Luke [email protected] Department of Computer Science George Mason University 4400 University Drive MSN 4A5 Fairfax, VA 22030 USA Summary Wireless low-power and lossy networks (LLNs) are a key enabling technology for the deployment of massively scaled self-organizing sensor swarm systems. Supporting applications such as providing human users situational awareness across large areas requires that swarm-friendly LLNs effectively support communication between embedded and mobile devices, such as autonomous robots. The reason for this is that large scale embedded sensor applications such as unattended ground sensing systems typically do not have full end-to-end connectivity, but suffer frequent communication partitions. Further, it is desirable for many tactical applications to offload tasks to mobile robots. Despite the importance of support this communication pattern, there has been relatively little work in designing and evaluating LLN-friendly protocols capable of supporting such interactions. This paper addresses the above problem by describing the design, implementation, and evaluation of the MoRoMi system. MoRoMi stands for Mobile Robotic MultI-sink. It is intended to support autonomous mobile robots that interact with embedded sensor swarms engaged in activities such as cooperative target observation, collective map building, and ant foraging. These activities benefit if the swarm can dynamically interact with embedded sensing and actuator systems that provide both local environmental or positional information and an ad-hoc communication system. Our paper quantifies the performance levels that can be expected using current swarm and LLN technologies.
    [Show full text]
  • Robot Based Home Automation
    International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8, Issue-1S4, June 2019 Robot based Home Automation L. Nikhil Manikanta, M. Pushpavalli, P. Saikumar, P. Sivagami, M. Vikram Reddy, P. Abirami Abstract--- Robot Based Home Automation, nowadays in the information for the security outside the home for potential society we cannot trust anyone compared to systems and robots. threats and smart control of things like main gates, garage By trusting robots and the internet of things is much more than and also scanning the person through facial recognition human beings. When it comes to our home, the concept is to outside the home [4]. The setup also contains the solar make it smarter, safer and automatic and with the security of a robot. This project looks on building smart wireless and robotic panels for lighting purpose in the garden at the night. There security system which sends second to second information to is a waterproof fire sensor for when the fire appears owners and that too stored in the cloud by using the internet of accidental in the home automatically it detects and sprinkler things in case of any raises an alarm. Home automation by will on and water will appear inside the home. Gas sensor making some set of sensors. Internet of things is growing more by also used in the kitchen due to detection of leakage of day by day. Internet of Things is a system that uses computers cooking gas and it gives the alarm. For old age people, the and mobile devices to control home functions through the internet from anywhere in the world.
    [Show full text]
  • A Literature Review on New Robotics: Automation from Love to War
    A literature review on new robotics : automation from love to war Citation for published version (APA): Royakkers, L. M. M., & Est, van, Q. C. (2015). A literature review on new robotics : automation from love to war. International Journal of Social Robotics, 7(5), 549-570. https://doi.org/10.1007/s12369-015-0295-x DOI: 10.1007/s12369-015-0295-x Document status and date: Published: 01/11/2015 Document Version: Publisher’s PDF, also known as Version of Record (includes final page, issue and volume numbers) Please check the document version of this publication: • A submitted manuscript is the version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal.
    [Show full text]
  • Android Based Home Automation and Energy
    INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS SPECIAL ISSUE, SEPTEMBER 2017 ANDROID BASED HOME AUTOMATION AND ENERGY CONSERVATION 1*M.Anto Bennet, 2B.Thamilvalluvan,2C.A.Hema Priya,2 B.Bhavani,2M.Shalini 1 Faculty of Electronics and Communication Department, vel tech, Chennai, India. 2 UG Students of Electronics and Communication Department, vel tech , Chennai, India. Email:[email protected] Submitted: May 27, 2017 Accepted: June 15, 2017 Published: Sep 1, 2017 Abstract- Wireless Sensor Network (WSN) consists of three main components: nodes, gateways, and software. The spatially distributed measurement nodes interface with sensors to monitor assets or their environment. In a WSN network the devices are connected to WSN nodes wherein the entire nodes uses Zigbee network to transfer the status of connected applications to a controller which controls the whole applications but the main drawback of Wireless sensor networks is its high interference, low coverage area and ability to control only low power devices. In order to overcome these drawbacks Android equipped devices are used to control the applications over GPRS network. Android equipped devices allow the user to control various applications over wireless networks. Being an open sourced platform it allows the user to design a custom module which controls the home applications by connecting the android equipped device and its corresponding home applications to an MCU wherein it uses relay circuits to connect the entire applications using GPRS network to connect the application controller and the android device. These devices can be used to control industrial applications, home applications like light, fan etc., and thereby conserving electricity.
    [Show full text]
  • Development of a 3D Digitisation System for Hostile Sites Mohammed Tamali, Tamali Mohammed, Tamali Abderrahmane, Mekhfi Soumia
    Development of a 3D digitisation system for hostile sites Mohammed Tamali, Tamali Mohammed, Tamali Abderrahmane, Mekhfi Soumia To cite this version: Mohammed Tamali, Tamali Mohammed, Tamali Abderrahmane, Mekhfi Soumia. Development ofa 3D digitisation system for hostile sites. 2019. hal-02192541 HAL Id: hal-02192541 https://hal.archives-ouvertes.fr/hal-02192541 Preprint submitted on 23 Jul 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. 1 Development of a 3D digitisation system for hostile sites TAMALI Mohammed1 and TAMALI Abderrahmane2 and MEKHFI Soumia2 Abstract— Our project represents a contribution to the so- the stability of the environment, the degrees of freedom, and called hostile site management solution such as historic ruins, other parameters. We consider them so that we can ask the oil pipelines, earthquake-affected buildings, unexploited mines, robot well-adapted characteristics and compatible, as much sewage pipelines, sites infected by radioactivity. These places have a significant characteristic, the difficulty of access, which as possible, with the desired medium as tasks for robots makes human intervention very expensive and dangerous. Our in hostile environments. Also in sanitary and wastewater approach is to design a robotised autonomous and remote- circulation systems where their function is to discover the controlled [1] vehicle [2], [3] on which a mounted remote blocking points of and maintain excellent continuity, In sensing device LiDAR perform investigative and survey work.
    [Show full text]