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ACCENTURE
APPLIED
INTELLIGENCE
Accenture’s unique approach to combiningAI with data,
analytics and automation under a bold...
AGENDA
• Introductions
• Brief background on Machine Learning &Tensorflow
• Edge Learning
• Tensorflow & FaceAPI
• Code De...
WHAT AREWETALKINGABOUT?
In this session we will provide an introduction toTensorFlow.js.We will then use
a step by step wa...
REACH OUT TO CONNECT!
WHO ARE WE?
OBAID SARVANA
obaid.sarvana@accenture.com
JACOB REDDING
Jacob.redding@accenture.com
Data...
HOW DIDWE GET HERE?
Jungle > Candy Store
AI Packaged goods
Learning on the edge!
Compute locally!
• https://searchenterpriseai.techtarget.com/news/252461988/Machine-learning-on-
edge-devices-solves-lack-...
FACEAPI
MAKES IT EASY…EASIER….ISH
The packages make it “Easier”, but, of course, that is relative.
Let’s dig into the code and we ...
CODE DEMO
LET’S DIG IN
CODE DEMO FLOW
• Browser
• enable webcam
• enable tensorflow
• enable facial recognition (faceapi)
• enable face marker (F...
THANKYOU
SELFIES?
QUESTIONS?
COME HANG
OUT WITH
US
(WE’LL BE AT THE BOOTH)
Data Con LA 2019 - Real Time Face Detection through a Webcam Using AI by Obaid Sarvana
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Data Con LA 2019 - Real Time Face Detection through a Webcam Using AI by Obaid Sarvana

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In this session we will provide an introduction to TensorFlow.js. We will then use a step by step walkthrough for building a fully functional real time face detection using nothing but a webcam, a browser, Tensorflow.js and face-api.js.

Publié dans : Technologie
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Data Con LA 2019 - Real Time Face Detection through a Webcam Using AI by Obaid Sarvana

  1. 1. ACCENTURE APPLIED INTELLIGENCE Accenture’s unique approach to combiningAI with data, analytics and automation under a bold strategic vision to transform your business—not in silos, but across every function and every process, at scale.
  2. 2. AGENDA • Introductions • Brief background on Machine Learning &Tensorflow • Edge Learning • Tensorflow & FaceAPI • Code Demo • Come connect with us
  3. 3. WHAT AREWETALKINGABOUT? In this session we will provide an introduction toTensorFlow.js.We will then use a step by step walkthrough for building a fully functional real time face detection using nothing but a webcam, a browser,Tensorflow.js and face-api.js. Want to learn more aboutTensorflow?Check out Google’sCrash course! https://developers.google.com/machine-learning/crash-course/
  4. 4. REACH OUT TO CONNECT! WHO ARE WE? OBAID SARVANA obaid.sarvana@accenture.com JACOB REDDING Jacob.redding@accenture.com Data Architects, Software developers Latest Projects • J: Open Source strategies/Governance • O: Software Innovation, Connected Health, Innovation Strategy
  5. 5. HOW DIDWE GET HERE? Jungle > Candy Store AI Packaged goods Learning on the edge!
  6. 6. Compute locally! • https://searchenterpriseai.techtarget.com/news/252461988/Machine-learning-on- edge-devices-solves-lack-of-data-scientists • "Things are going to get smart because they process their own data and formulate theories about the world," Crosby said. LEARNING ONTHE EDGE
  7. 7. FACEAPI
  8. 8. MAKES IT EASY…EASIER….ISH The packages make it “Easier”, but, of course, that is relative. Let’s dig into the code and we can discuss the current state of software and where we are and where this is going.
  9. 9. CODE DEMO LET’S DIG IN
  10. 10. CODE DEMO FLOW • Browser • enable webcam • enable tensorflow • enable facial recognition (faceapi) • enable face marker (Faceapi) • enable emotion detection (faceapi) • End result - website with facial recognition + markers + detection
  11. 11. THANKYOU
  12. 12. SELFIES? QUESTIONS?
  13. 13. COME HANG OUT WITH US (WE’LL BE AT THE BOOTH)

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