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AWS re:Invent 2016: AWS Customers Saving Lives with Mobile and IoT Technology (MBL206)

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Join us for a compelling session to learn how technological innovation can save lives. Hear from a customer that uses AWS very differently and has the ability to move rapidly to address pressing societal problems with the aid of AWS. Learn how mobile and IoT technology allows them to scale and accelerate their impact. Speakers talk about why they selected specific AWS services, and how that allowed their teams to be agile and focus more on their solutions instead of undifferentiated plumbing. The ShotSpotter Flex gunfire data service uses acoustic sensors to detect gunshots in the field. Data is then transmitted to the AWS Cloud, and further processed to validate signatures and, if necessary, alert emergency dispatch teams.

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AWS re:Invent 2016: AWS Customers Saving Lives with Mobile and IoT Technology (MBL206)

  1. 1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Sri Elaprolu - Global Lead, Public Sector IoT, Amazon Web Services Kristin Boorse - Sr. Product Manager, Thorn Paul Ames - SVP, Products and Technology, SST, Inc. (ShotSpotter) November 29, 2016 MBL 206 AWS Customers Saving Lives with Mobile and IoT Technology
  2. 2. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Kristin Boorse November 2016 Using Machine Learning and Natural Language Processing to Combat Human Trafficking: Going Mobile Spotlight
  3. 3. OUR MISSION THORN DRIVES TECHNOLOGY INNOVATION TO FIGHT CHILD SEXUAL EXPLOITATION.
  4. 4. THE PROBLEM MORE THAN 200,000 NEW ADS POSTED EVERY DAY IN THE U.S. ON SEX CLASSIFIED SITES *Thorn Survivor Survey (2012) OF THE UNDERAGE SEX TRAFFICKING VICTIMS SAID THEY HAD BEEN ADVERTISED OR SOLD ONLINE* LAW ENFORCEMENT DOESN’T HAVE ENOUGH TIME TO NAVIGATE THE ONLINE COMMERCIAL SEX MARKET TO FIND CHILDREN AND IDENTIFY THEIR TRAFFICKERS. 2OO,OOO+ To provide law enforcement with intelligence and leads about suspected human trafficking networks and individuals in order to identify victims and connect them with resources. MISSION
  5. 5. POWERED BY THORN AND DIGITAL REASONING
  6. 6. TRAFFICK ANALYSIS
  7. 7. Spotlight Ad Data elements
  8. 8. Spotlight Data Processing Architecture Elastic Search WebAPI Elastic Search Escort Ad and Forum Websites Amazon S3 Ads& Forums Photos Amazon SNS Amazon SQS ZData Jetway Core AnalyticsETL Natural Language Processing Phone Decoder Language Flags (e.g. Control) Image Analysis drxml Global Analytics Networks Interstate Flag Alerting
  9. 9. Architecture
  10. 10. Deconstructing A Sex Trafficking Ad Title – Tag Line Ad copy details Ad copy details Ad copy details Ad copy details
  11. 11. Phone Number Normalization sevenfivefourthree zero seveneightseveneigthsix (754)307-8786
  12. 12. Image Processing HASHED X XY XYZ
  13. 13. Flagging Ads Analysis of ad copy based on risk profiles provided by law enforcement. Enables the ability to filter based on particular targets. MASSAGE CONTROL IMMATURE INTERSTATE CONTROL
  14. 14. Going Mobile
  15. 15. SPOTLIGHT DATA ASSETS 150K ADS PER DAY 65M ADS IN SPOTLIGHT SINCE OCTOBER 2014 400M IMAGES IN SPOTLIGHT
  16. 16. THE #1 WEB-BASED DOMESTIC SEX TRAFFICKING INVESTIGATIONS TOOL FOR LAW ENFORCEMENT LAW ENFORCEMENT OFFICERS USE SPOTLIGHT FEDERAL, STATE & LOCAL AGENCIES 850+3,200+ ALL 50 STATES & WASHINGTON D.C.
  17. 17. SPOTLIGHT IMPACT SURVEY 2,888 SURVEY RECIPIENTS 12 MONTHS 728 RESPONDENTS 25% RESPONSE RATE VICTIMS IDENTIFIED 6,325 HUMAN TRAFFICKING INVESTIGATIONS 7,442 JUVENILE VICTIMS IDENTIFIED 1,980 ADULT VICTIMS IDENTIFIED 4,345 KIDS A DAY5+ TRAFFICKERS IDENTIFIED 2,186 *SEPTEMBER 2016 SURVEY - LAST 12 MONTHS IMPACT
  18. 18. LOOK HOW FAR WE’VE COME…. * Thorn September 2016 user survey [25% response rate] 60% DAILY SPOTLIGHT USERS REPORT A 60% TIME SAVINGS IN HUMAN TRAFFICKING INVESTIGATIONS BEFORE SPOTLIGHT AFTER SPOTLIGHT
  19. 19. ” Spotlight is a force multiplier at every stage of the operation. We can use this tool to gather intelligence and plot trends prior to conducting an operation, during the operation we can allocate resources effectively and tighten our investigative vision to have the greatest immediate impact… Federal Agent, Hawaii ” A juvenile runaway was kidnapped from Dallas and taken to Houston where she was forced to stay in motels under armed guard. Her picture was put on backpage.com along with a kidnapper's phone number. We identified one of the "johns" who raped the juvenile and identified all of the phone numbers that he called with a search warrant. We ran all of the phone numbers through spotlight until we found the backpage.com ads that listed the juvenile victim. We also gained our only lead on who the kidnappers were through the backpage.com account. Investigator Bocks, Houston PD
  20. 20. Thank you! Facebook.com/wearethorn Twitter: @thorn Kristin Boorse Senior Product Manager 480.600.1468 kristin@wearethorn.org
  21. 21. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Paul Ames November 2016 SST ShotSpotter Public Cloud Migration
  22. 22. CRITICALLY IMPORTANT but not very well understood, about urban gun violence and INSIGHTFUL, FACTS
  23. 23. there are 100 gunshot incidents For every 1 homicide and 7 gunshot wounds,
  24. 24. For every 100 gunshot incidents, there are only 10 to 20 calls for service
  25. 25. 70% of the shootings are driven by very few individuals
  26. 26. ShotSpotter cities experienced an average 35% DECREASE in gunfire incident volume in the first two years of use 35% DECREASE gunfire incident volume 2015 National Gunfire Index report
  27. 27. SENSOR SENSOR SENSOR SENSOR 911 DISPATCH GUNSHOT ShotSpotter sensor array
  28. 28. Gunshot location 251 m 432 m 546 m
  29. 29. Raw Incidents Raw Incidents Raw Incidents Sensor Location Machine Classification Human Classification Incident Publisher Email SMSAdminReviewer Patrol Investigator Notification API Security Authentication UnstructuredDataStorage Monitoring Sensor Sensor Sensor Sensor Sensor Architectural starting point
  30. 30. Private cloud deployment Mobile Carrier Machine-2-Machine Private Network Public Internet SST Private Cloud West Coast (Colo) SST Private Cloud East Coast (Colo) Email SMS Admin Reviewer Patrol Investigator Notification API City A Sensor Array Campus Sensor Array City B Sensor Array City C Sensor Array Commodity x86, VMWare
  31. 31. Hybrid cloud deployment exploration Mobile Carrier Machine-2-Machine Private Network Public Internet Public Cloud - Lift & Shift SST Private Cloud West Coast (Colo) SST Private Cloud East Coast (Colo) Email SMS Admin Reviewer Patrol Investigator Notification API City A Sensor Array Campus Sensor Array City B Sensor Array City C Sensor Array Commodity x86, VMWare
  32. 32. Phase 1 implementation Mobile Carrier Machine-2-Machine Private Network Public Internet AWS Public Cloud SST Private Cloud West Coast (Colo) SST Private Cloud East Coast (Colo) Email SMS Admin Reviewer Patrol Investigator Notification API City A Sensor Array Campus Sensor Array City B Sensor Array City C Sensor Array Commodity x86, VMWare Amazon EC2/CentOS, Amazon ECS/Docker, ALB, Amazon VPC, Amazon Route 53 Microservices: Node.js, MongoDB, Reddis, RabbitMQ, APNS & GCM Web Mobile
  33. 33. Mobile
  34. 34. Thank you! Questions?
  35. 35. Remember to complete your evaluations!

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