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New AI/ML Solutions with AWS DeepLens & Amazon SageMaker with ConocoPhillips (AIM205) - AWS re:Invent 2018

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ConocoPhillips is exploring the combination of machine vision and machine learning. Four proof of concepts were developed using AWS DeepLens, Amazon SageMaker, Amazon S3, and more. These projects address the security, safety, and inventory associated with upstream field operations. In this session, we describe our successes, challenges, and lessons learned. We also share our ideas for future product improvements.

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New AI/ML Solutions with AWS DeepLens & Amazon SageMaker with ConocoPhillips (AIM205) - AWS re:Invent 2018

  1. 1. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. AIM205 - New AI/ML Solutions with AWS DeepLens & Amazon SageMaker with ConocoPhillips Karla Wasinger Cloud Cost Analyst ConocoPhillips A I M 2 0 5 Mahendra Bairagi AI Specialist SA AWS Blake Kobel Analytics Analyst ConocoPhillips Corey Vessar Analytics Analyst ConocoPhillips
  2. 2. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  3. 3. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Agenda Introduction Overview of AWS DeepLens and deploying a project ConocoPhillips projects Lessons learned
  4. 4. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  5. 5. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Artificial Intelligence at Amazon
  6. 6. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. PLATFORM SERVICES APPLICATION SERVICES FRAMEWORKS & INTERFACES Caffe2 CNTK Apache MXNet PyTorch TensorFlow Chainer Keras Gluon AWS Deep Learning AMIs Amazon SageMaker Amazon Rekognition Amazon Transcribe Amazon Translate Amazon Polly Amazon Comprehend Amazon Lex AWS DeepLens EDUCATION The Amazon Machine Learning Stack
  7. 7. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. AWS DeepLens is not a video camera … It’s the world’s first deep learning-enabled developer kit
  8. 8. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. AWS DeepLens Specifications • Intel Atom Processor • Gen9 graphics • Ubuntu OS- 16.04 LTS • 100 GFLOPS performance • Dual band Wi-Fi • 8-GB RAM • 16-GB storage (eMMC) • 32-GB SD card • 4 MP camera with MJPEG • H.264 encoding at 1080p resolution • 2 USB ports • Micro HDMI • Audio out • AWS Greengrass preconfigured • Intel clDNN Optimized for MXNet
  9. 9. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Get Started with Sample Projects ARTISTIC STYLE TRANSFER OBJECT DETECTION FACE DETECTIONHOT DOG / NOT HOT DOG CAT VS. DOG ACTIVITY DETECTION Or build custom deep learning models in the cloud using Amazon SageMaker HEAD POSE DETECTION
  10. 10. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Under the Covers – Console
  11. 11. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  12. 12. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Rig/Drill Site
  13. 13. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. The Projects Inventory Recognition Bear Recognition Vehicle Probability Hard Hat Detection
  14. 14. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Image Classification Vs. Object Detection
  15. 15. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. What We Did Tested with out of box models Explored AWS services Workshop with AWS Team Image Classification -> Object Detection Trained custom models Image annotation Manual annotation Scripts AWS DeepLens Images Fine tune Project extensions
  16. 16. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Results 17 Bear RecognitionInventory Recognition
  17. 17. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Notifications November 26, 201818 • Time • Location • Link to reorder products • Specific messages • Multiple individuals
  18. 18. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Inventory Demo
  19. 19. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Bear Demo
  20. 20. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Moving Forward 21 Machine Learning • Collect Data Sets of Inventory • Annotations • Explore Amazon Rekognition Logistics and Hardware • Weatherization • Hardware Upgrades • Camera Type Options • Additional Sensors
  21. 21. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  22. 22. Thank you! © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. ConocoPhillips team: Karla Wasinger, Blake Kobel, Corey Vessar DeeplensPOC@conocophillips.com Mahendra Bairagi bairagi@amazon.com
  23. 23. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.

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