FROM WATER LEAKS TO WINE GRAPES: A NEW OUTLOOK FOR IMAGERY ANALYSIS

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1 Place image here (10 x 3.5 ) FROM WATER LEAKS TO WINE GRAPES: A NEW OUTLOOK FOR IMAGERY ANALYSIS ENVI AS A FRAMEWORK FOR CLOUD SERVICES & DEEP LEARNING Presented By Gordon Sumerling on Behalf of Cherie Muleh HARRIS.COM #HARRISCORP

2 Harris Geospatial From sensors and software to actionable information, our solutions and products help you make informed decisions when and where they are needed. Custom Services Off-the-shelf and custom solutions for advanced geospatial analysis Tools for hosting and managing distributed data processing in a high-performance computing environment An online marketplace that puts the best commercially available geospatial data and imagery at your fingers. Innovative Geiger-mode LiDAR sensor to collect data faster and at 10x the resolution of traditional LiDAR. Value-added services that give you actionable information. ENVI Jagwire Geiger-mode LiDAR Geospatial Marketplace IDL Harris Overview 2

3 Industry Solutions Whether you are a defense analyst who supplies actionable information to support a mission or a utilities professional who needs to efficiently maintain assets across a system, our data and software solutions give you the confidence to make better decisions. Precision Agriculture Data and analytics to maximize yields and boost profits. Defence & Intelligence Software and solutions to obtain actionable intelligence. Utilities Imagery-based solutions to assess critical infrastructure. Fed/Civil Maritime Academic Products and solutions for communities and government organizations. Software solutions for students, instructors and researchers. Real-time data to monitor and track maritime vessels. Harris Overview 3

4 How Does Remote Sensing Technology Address Challenges? Optimize Costs Low operations costs of inspections, repairs, and vegetation management with automated and accurate asset analysis Reduce restoration costs by proactive assessment immediately after the event Improve Safety Reduce the need for employees to climb network infrastructure for inspections Detect changing conditions on the network (sagging wires, leaning poles) that pose risk to public Improve Reliability and Customer Satisfaction Increase inspections for better awareness and proactive maintenance before an outage occurs Identify equipment about to fail Manage Consolidation through Acquisitions More accurate network asset locations contributing to better overall conflation of the network maps Harris Overview 4

5 Industry Solutions: Example Energy Locate and identify infrastructure Use LiDAR, Imagery, and other modalities to make realworld decisions about energy infrastructure Full integration with downstream applications including your GIS Harris Overview 5

6 Applications in Transmission & Distribution Monitor Change Track asset condition over time to predict repairs needed before failure Manage Vegetation encroachments Species identification from hyperspectral imagery to determine potential growth rates Measure clearances Reduce fees for non compliance Identify Pole attachments Harris Overview 6

7 Case Study: EdgeData Wind Turbine Blade Inspection Which wind turbines need repair in this wind farm? Drone Captured Data Thousands of raw images organized Deep learning analyzed Prioritize repair needs and budget Change detection through time Turbine lifecycle management Damage identified and categorized Copyright 2016 EdgeData, LLC Harris Overview 7

8 A Closer Look BladeEdge s Dashboard Co-registered mosaic Copyright 2016 EdgeData, LLC Harris Overview 8

9 A Closer Look BladeEdge s Dashboard Co-registered mosaic Copyright 2016 EdgeData, LLC Harris Overview 9

10 What Challenges are Railroad facing? Financial Pressure Reduce inspection costs Improve efficiency Minimize dependency upon subsidies Improve Network Performance & Reliability Rapidly Changing infrastructure Large and complex networks Health and Safety Increase inspection intervals but still keep costs low Identify defects before catastrophic damages occur Harris Overview 10

11 Harris Rail Applications Identify and locate assets Asset inspection for Network Infrastructure Detect defects/damage/anomalies Monitor change to infrastructure Identify Vegetation encroachment Discover Clearance issues Harris Overview 11

12 Case Study: SNCF Rail Object Detection with LiDAR Heat Map (all detections shown) Example Target: Railroad Signals Test region ~ 200m x 130m Data courtesy of SNCF Reseau Harris Overview 12

13 Other Transportation Solutions Image courtesy of Airbus Defence and Space Harris Overview 13

14 How Harris supports solutions in Agriculture Harris Overview 14

15 ENVI Crop Science Solutions Understand yield See an overview of farm health Row by row analysis Individual plant statistics Time series analysis Enterprise ready and flexible deployment for quicker decisions Harris Overview 15

16 Harris Overview 16

17 Viticulture Solutions Harris Overview 17

18 Viticulture Solutions Harris Overview 18

19 Harris and Esri Partnership ENVI and ArcGIS together offer a complete GIS, remote sensing, geospatial solution ENVI ArcMap Makes it easy to add information to a GIS for better decision making Harris Overview 19

20 Harris and Esri Partnership ENVI and ArcGIS together offer a complete GIS, remote sensing, geospatial solution ENVI ArcMap ArcGIS Pro Makes it easy to add information to a GIS for better decision making Harris Overview 20

21 Harris and Esri Partnership ENVI and ArcGIS together offer a complete GIS, remote sensing, geospatial solution ENVI ArcMap ArcGIS Pro ArcGIS Enterprise GeoSpatial Framework Makes it easy to add information to a GIS for better decision making Harris Overview 21

22 ENVI Anywhere: Tasks Exposed in the Esri Ecosystem Harris Overview 22

23 Conclusion Harris is extending the reach of it s software Beyond the Desktop to the GeoSpatial Framework Agricultural algorithms being extended from the desktop to the web Machine learning is now becoming prevalent for large Harris Overview 23

24 Thank You! HARRIS.COM #HARRISCORP