Unattended d Ground Sensor Testing at the University of Memphis Center for Advanced d Sensors William E. White Alfredo Ramirez Eddie L. Jacobs
Presentation Overview Introduction Center for Advanced Sensors Unmanned Ground Systems UGS Field Test Station Purpose Location Initial Deployment Plan Design/component selection Conclusions and Future Work Status Initial Testing Planned Improvements Planned Studies
Mission and History of the Center for Advanced Sensors Mission: Innovative Sensing and Imaging through development of New sensor system design techniques Problem-solving sensor network architectures Profiling sensors with innovative classification algorithms and data visualization techniques Alternative sensing modalities Environmental degradation simulation/mitigation techniques Feature sensing techniques History: Established via a Congressional Plus Up through ARL in 2004 First director Dr. Carl Halford To date 5 PhDs and 8+ MS students primarily in the area of electro-optical systems.
Mission and History of the Center for Advanced Sensors Mission: Innovative Sensing and Imaging through development of New sensor system design techniques Problem-solving sensor network architectures Profiling sensors with innovative classification algorithms and data visualization techniques Alternative sensing modalities Environmental degradation simulation/mitigation techniques Feature sensing techniques History: Established via a Congressional Plus Up through ARL in 2004 First director Dr. Carl Halford To date 5 PhDs and 8+ MS students primarily in the area of electro-optical systems.
Personnel Eddie Jacobs Director/PI Aaron Robinson PI Steve Griffin PI David Russomanno (IUPUI) PI Carl Halford (Consultant) PI Srikant Chari Research Asst. Professor Alfredo Ramirez Researcher/Local Support Provider Orges Furxhi Postdoctoral Researcher
FY11/12- Active CAS Research Grant Awards Source Title Period of Performance Amount Northrop Grumman Nyquist Limited Infrared 19 Feb 2010 31 Dec $ 354,998 Jacobs Corporation (DARPA) Detectors 2012 Halford Arkansas State University (for US Army NVESD) Sensors for Material Identification, Detection, and Characterization Principal Investigator(s) 1 Jul 2010 19 Feb 2012 $ 625,151 Griffin Robinson Jacobs US Army Research Office Intelligent Network-Centric 16 Jul 2010 31 Jul 2012 $1115446 1,115,446 Jacobs, Chari, Furxhi Sensors Robinson, Ramirez Russomanno Halford EOIR Technologies, Inc. (for US Army NVESD) Northrop Grumman Corporation (DARPA) Northrop Grumman Corporation (US Navy) Profile Classification Algorithm Development 26 Apr 2011 25 Apr 2012 $164,457 Jacobs Chari AWARE Lambda Scale 1 Apr 2011 31 Jul 2012 $180,575 Jacobs Robinson CLARITY Underwater brownout simulation 1 Dec 2011 30 Nov 2012 $293,239 Jacobs Robinson Total FY11/12 Active Awards $2,733,866,
Facilities Perception Laboratory Optics Laboratory Terahertz Laboratory Compute Resources
Border and Perimeter Security Border and perimeter defense requires continuous monitoring. National borders are vast and often remote making sentries impractical. Sensor solutions to this problem must be Low cost/power/bandwidth Not easily defeated Autonomous Easily emplaced
Unmanned Ground Sensors (UGS) US Army UGS are being developed to meet SWAP, bandwidth, and expendability requirements of border and perimeter security. UofM Intelligent Network Centric Sensors effort Develop sensing systems and algorithms for discriminating humans and animals Conduct and assist in testing and evaluation of UGS systems for border/perimeter defense.
Current Profiling Sensor Data Original Data Binary Features
UGS Field Test Station Testing of UGS often consists of short staged scenarios in representative environments. Need exists for long term, 24/7, testing of sensors in a realistic environment with non- scripted events. As part of the Army Sponsored Intelligent Network-Centric Sensors program, UofM is developing an UGS field test station.
UGS Field Test Station Deployment Site Meeman Biological Field Station 13.467 acre park bordering the Mississippi river hardwood forest, two lakes and river access 24 miles from university main campus Provides a natural UGS testing environment with network infrastructure Microwave link provides internet connection back to campus Dorm provides power/housing for base station Trails provide test ground for sensor deployment
Meeman UGS Sensor Network Overall Concept Router 2.4 GHz data link Campus Network UofM Site Seismic Freewave 24Gh 2.4 Ghz link UofM to Meeman Wifi link to Zigbee sensor network Zigbee sensor network Multipath th Self healing Will provide 24/7 monitoring of UGS sensors to UofM researchers and other potential clients via internet Optical ZigBee Sensor Network Other Meeman Site XBee ptp link WiFi link 2.4 GHz data link
Initial Deployment Plan WiFi connection from Microwave link to Gentoo Base Station Gentoo Base Station stationed at dorm and connected to FLIR camera ZigBee network to motes MICAz motes with PIR motion sensors placed along trails
WiFi ZigBee
Microwave link Operated by UofM Center for Earthquake Research and Information Source for WIFI router Provides connectivity between site and ROTW.
Gentoo Based Sensor Base Station Gentoo Sensor Base Running Gentoo Linux (OpenSource) Interface to ZigBee Sensor Network (low bandwidth) Direct interface to higher bandwidth sensors through video capture card Can provide some algorithm execution Automated motion detection and dimage capture Classification algorithms
MICAz Motes MICAz motes use the Zigbee (IEEE standard 802.15.4) wireless protocol Custom data acquisition is possible with expansion boards Motes can operate for several months on a single set of batteries.
MICAz Sensor Network MICAz motes with Pyroelectric Infrared (PIR) motion sensors will be places along trails to monitor moment. Detected movement will be classified as a human or animal. Appropriate actions/notifications will be taken based on the classification.
Pyroelectric Infrared Motion Sensors We will use PYD1998 PIR sensor to capture data. The sensor provides a digital signal with 14-bit resolution. Using sets of 3 sensors in distributed array will help reliability and robustness of detection and classification. det tector output 145 140 135 130 125 120 115 0 5 10 15 20 time in seconds
Conclusions and Future Work Conclusions An initial design for a Sensor Network Field Test Station has been completed Major components have been assembled and are currently being integrated and tested. We expect an initial deployment prior to 1 Sep 2012. FLIR sensor at Dorm PIR Motes along trails in woods Planned Improvements Expanding ZigBee sensor mix Advanced profiling sensor Acoustic sensors Seismic sensors Expanding ZigBee network coverage Near term goal to cover perimeter of Dorm site Ultimate goal to cover perimeter of entire Meeman site Planned Studies Algorithm testing Energy harvesting Networked sensor/smart sensor tasking schemes