Advanced Occupancy System Mitch Williams Adam Winter Shane Woolwine.

Slides:



Advertisements
Similar presentations
2006/12/05ICS Home Automation Examples of WSN: (iPower: An Energy Conservation System for Intelligent Buildings) Yu-Chee Tseng (appeared in ICS 2006)
Advertisements

Introduction Build and impact metric data provided by the SGIG recipients convey the type and extent of technology deployment, as well as its effect on.
1 Adaptive Thermostat With Bluetooth Technology Trey Lawrence Jennifer Ogunlowo Scott Snyder Mark Youngblood ECE4007L02, Group 7 Georgia Institute of Technology.
CommercialPRO™ CommercialPRO 7000 Introduction Competitively priced that in most cases beats the competition Key features - Sleek design - Intuitive.
A GENERIC OFFICE WITHOUT THE WISENET SYSTEM A GENERIC OFFICE WITH THE WISENET SYSTEM.
Motion Sensors Occupancy Sensors Presence Sensors PIR Sensors.
CVM Kitchen Monitor System Posera Software. Overview The CVM Kitchen Video Monitor system relays counter and drive-thru orders to kitchen staff in an.
Home Area Networking for the Smart Grid Erik Cates David Green Daniel Han Justin Michela ECE 4007 Koblasz/Maxwell Fall 2010 In Conjunction With: Unmesh.
© 2007 Control4. Smart System Controller HC-300 – Linux-based central brain for the home Monitors and manages energy use of the smart home – Lighting.
Energy Aware Self Organized Communication in Complex Networks Jakob Salzmann, Dirk Timmermann SPP 1183 Third Colloquium Organic Computing, ,
SMART HOMES The way we nest now Suhasini K Vamsi Priya V Sushmitha K.
PORT: A Price-Oriented Reliable Transport Protocol for Wireless Sensor Networks Yangfan Zhou, Michael. R. Lyu, Jiangchuan Liu † and Hui Wang The Chinese.
Situation Aware Mobile Computing (SAMC) CPSC 608 Project Spring 2002 Project Members: Brent Dinkle Hemant Mahawar Marco Morales Sreekanth R. Sambavaram.
2006/12/05ICS iPower: An Energy Conservation System for Intelligent Buildings by Wireless Sensor Networks Yu-Chee Tseng, You-Chiun Wang, and Lun-Wu.
Agenda Introduction Focus of Study Approach Model Data Gathering Preliminary Findings.
Senior Project Design Review Remote Visual Surveillance Vehicle (RVSV) Manoj Bhambwani Tameka Thomas.
University Village Energy Management Information System & Service Design Fall 2008, UC Berkeley.
Wireless Sensor Networks Smart Environments: Technologies, Protocols, and Applications ed. D.J. Cook and S.K. Das, John Wiley, New York, B.Devi
WISENET Wireless Sensor Network Project Team: J. Dunne D. Patnode Advisors: Dr. Malinowski Dr. Schertz.
PROJECT PROPOSAL Lennie Giannone, Ryan Savino, Carrie Johnston, and Jessica Fernandes.
Energy Smart Room GROUP 9 PRESENTERS DEMO DATE SPECIAL THANKS TO ADVISOR PRESENTERS Thursday April 19, 2007 Department of Electrical and Systems Engineering.
The Impulse “Switch” 1Daniel Overman DIS5274/10/2010.
Sharena Paripatyadar.  What are the differences?
Smart Home for disabled people Students: Atara Gutman and Anastasia Logvinenko Instructor: Alexander Kinko Midterm Presentation Semester Spring
WSK-24 Wireless Occupancy Solution New Product Introduction Customer Sales Presentation June 2009.
Home Health Care and Assisted Living John Stankovic, Sang Son, Kamin Whitehouse A.Wood, Z. He, Y. Wu, T. Hnat, S. Lin, V. Srinivasan AlarmNet is a wireless.
Technology and Hotel Security Hotel Mgmt. Hospitality Services R. McCann.
LUMEN ALARM & LIGHTING SYSTEM Artem Aginskiy, Grayson Carr, Yinuo James Chen, Andrew McDowell.
Collaborative Recommender Systems for Building Automation Michael LeMay, Jason J. Haas, and Carl A. Gunter University of Illinois.
TUTORIAL # 2 INFORMATION SECURITY 493. LAB # 4 (ROUTING TABLE & FIREWALLS) Routing tables is an electronic table (file) or database type object It is.
Daniel Arnett · Joseph Vanciel · Brian Krueger Advisor: Dr. Samuel Richie Sponsor: Workforce Central Florida Mentor: Sean Donovan 4 th Annual Senior Design.
Sensors Cassandra, Gayathri, Rohan, Patrick. -Many distractions while driving -Want to dramatically reduce accidents that occur -Try to figure out ways.
DESIGN & IMPLEMENTATION OF SMALL SCALE WIRELESS SENSOR NETWORK
Sluzek 142/MAPLD Development of a Reconfigurable Sensor Network for Intrusion Detection Andrzej Sluzek & Palaniappan Annamalai Intelligent Systems.
Chapter 1 Introduction Managers and Managing.
Abstract Since 2002, much research has been done across the country in the area of micro-electric mechanical systems as a potential solution to the pandemic.
Presented By SLAC and Hensel Phelps Welcome SUSB.
A Pervasive Architectural Framework for Providing Remote Medical Treatment Author:D. Vassis, P. Belsis, C.Skourlas,G.Pantziou 1.
IPower: An Energy Conservation System for Intelligent Buildings International Journal of Sensor Networks Yu-Chee Tseng, You-Chiun Wang, and Lun- Wu Yeh.
ARMSTRONG “THE CEILING OF TOMORROW” Team 7 “The Dream Team”: Bryan Shearer David Smith Jeegar Shah Jeff Irwin.
Occupancy Sensor. Motivation No method for efficiently checking occupancy of rooms or spaces Current method requires checking each room or space individually.
AD-HOC NETWORK SUBMITTED BY:- MIHIR GARG A B.TECH(E&T)/SEC-A.
REECH ME: Regional Energy Efficient Cluster Heads based on Maximum Energy Routing Protocol Prepared by: Arslan Haider. 1.
1 Intelligent Lighting Solutions for Professionals.
Smart Home for disabled people Students: Atara Gutman and Anastasia Logvinenko Instructor: Alexander Kinko PDR presentation Semester Spring part.
1 City With a Memory CSE 535: Mobile Computing Andreea Danielescu Andrew McCord Brandon Mechtley Shawn Nikkila.
Information Security 493. Lab # 4 (Routing table & firewalls) Routing tables is an electronic table (file) or database type object that is stored in a.
Energy Conservation System (ECS) Status Report #1 James Sturdivant Ionel Taflan Juan Tamez Susan Austin.
Web Service-Based Remote Monitoring System for Smart Home Space Sheng Cai Joshua Ferguson Xinhui Hu Wei Wu Project for CSE535 Mobile Computing.
Doc.: IEEE At home, IoT Use Case(s) for LRLP January 2016 SubmissionSlide 1 At home, IoT Use Case(s) for LRLP Date: Intel Authors:
Name Of The College & Dept
Energy Efficient Data Management in Sensor Networks Sanjay K Madria Web and Wireless Computing Lab (W2C) Department of Computer Science, Missouri University.
ORT Braude College – Software Engineering Department WristQue: A Personal Sensor Wirstband Brian D. Mayton, Nan Zhao, Matt Aldrich, Nicholas Gillian, and.
LIGHTING MANAGEMENT | PRODUCTS & SYSTEMS PUTTING A STOP TO ENERGY WASTE LIGHTING MANAGEMENT SYSTEM PUTTING A STOP TO ENERGY WASTE.
Verdant EMS Advanced Comfort Control and Energy Management for the Hospitality Industry.
Wireless Sensor Network: A Promising Approach for Distributed Sensing Tasks.
Sensor Networks © M Jamshidi.
Home Automation Market to Global Analysis and Forecasts by Products, Networking No of Pages: 150 Publishing Date: Jan 2017 Single User PDF: US$
Home Automation Market to Global Analysis and Forecasts by Products, Networking No of Pages: 150 Publishing Date: Feb 2017 Single User PDF: US$
Abstract In this paper, the k-coverage problem is formulated as a decision problem, whose goal is to determine whether every point in the service area.
WP3 INERTIA Local Control and Automation Hub
Digital Home The Home of the Future envisioned by Great Institutions
Allocating Parking Spots with WSN Instructed by: PhD. Zvi Lotker
WP2 INERTIA Distributed Multi-Agent Based Framework
WISENET Wireless Sensor Network
Lights Free Friday Wade’s Earth Week.
ECE 477 Final Presentation Team 15  Spring 2010
Intelligent HVAC Control
Smart Water Metering Market by Meter Type (Eelctromagnetic, Ultrasonic, Mechanical), Technology (AMI, AMR), Component (Meters.
Smart Water Metering Market by Meter Type (Eelctromagnetic, Ultrasonic, Mechanical), Technology (AMI, AMR), Component (Meters.
Presentation transcript:

Advanced Occupancy System Mitch Williams Adam Winter Shane Woolwine

Introduction It is our goal to develop a new sensory system that will allow a system operator to determine the availability of an area of interest. Sensor results are conveyed to a remotely located system display. This new system is based on a collection of existing technology that will be used to collect real time data within a perimeter of operation. Three situations concerning area of interest availability have been identified. An individual is located in an AOI. Objects or possessions have been left in an AOI. The AOI is unoccupied.

Motivation Our motivation for this product is to increase consumer efficiency by developing a product that improves time management through the use of a more advanced organizational system. Currently methods for determining and monitoring the availability of an area of interest require large amounts of wasted time and effort.

Possible Applications Library Tables & Study Areas Classrooms & Conference Rooms Energy Conservation Heating and air systems configured to adapt to information collected by the occupancy system. Sociology What areas do individuals tend to occupy?

Current Competition People Counters Technology that uses motion detectors to count the number of people in an area of interest to determine occupancy levels Surveillance & Security Companies Energy Efficiency Companies Systems that perform tasks such as turning off lights or appliances when they are not in use

Customer Needs Display The ability to view information from a remote location Privacy The system does not invade consumer privacy, i.e. no cameras Appearance Does not interfere with normal activity Reliability The system requires minimal user intervention

Customer Needs - 2 Versatility System is extensible and expandable Can be implemented in a variety of locations Accuracy Can adjust for different occupancy scenarios Cost The system is priced affordably

Key Sub Problems Sense Presence in Area of Interest What sensor(s) can give us the best information regarding occupancy while still maintaining power and privacy restrictions? Process Sensor Data What is the best method to accurately process sensor data and efficiently relay necessary occupant information?

Interesting Sub-Solutions Sense Presence Motion Sensor Accuracy concern Thermal Sensor Unable to adjust to different occupancy scenarios Camera Privacy Invasion Combination Sonar & Thermal (selected) Satisfies level of accuracy, desired information, and most customer needs

Interesting Sub-Solutions - 2 Process Sensor Data FPGA Not in our skill set PC Not Versatile Sensor Node (selected) Versatility & Ease of use

Final Concept A combination sensor scheme Thermal & Sonar Possibly aggregated in one box or a multi- part design Sensor Node A microcontroller with radio Used to analyze sensor data and transmit relative information

Diagram - Aggregate Model

Diagram - Multi-part Model

Proto-type Detect people, object, both, or neither in a given area represented by a table Break occupancy area (table) into a quadrant to show region occupancy Transmit the data wirelessly to a gateway mote connected to a PC and display information on PC