The document outlines a project involving visual recognition using Anki Cozmo and TensorFlow, deployed on IBM Cloud through Kubernetes and Apache OpenWhisk. It describes the setup where Cozmo recognizes different toys and includes details about training and classification architectures, specifically MobileNet. Additional resources and links related to the project are also provided.

1. Visual Recognition with
Anki Cozmo and TensorFlow
Deployed on IBM Cloud via
Kubernetes and Apache OpenWhisk
December 2017
Niklas Heidloff
Developer Advocate, IBM
@nheidloff
Ansgar Schmidt
Developer Advocate, IBM
@ansi

2. Setup Cozmo recognizes different Toys
Cozmo’s View:
@nheidloff
@ansi

3. Demo Demo
@nheidloff
@ansi
Video

4. Demo Demo
@nheidloff
@ansi
Cozmo’s View

5. Demo Demo
@nheidloff
@ansi
Cozmo’s Brain

6. Training Training – Circle around Toys and take Pictures
@nheidloff
@ansi

7. Training Training – Architecture
MobileNet
@nheidloff
@ansi

8. Classification Classification – Architecture
@nheidloff
@ansi

9. Classification Web App to test the extended MobileNet Model
@nheidloff
@ansi

10. ResourcesResources
• https://github.com/nheidloff/visual-recognition-for-cozmo-
with-tensorflow
• https://github.com/anki/cozmo-python-sdk
• https://codelabs.developers.google.com/codelabs/
tensorflow-for-poets
• https://www.ibm.com/cloud
• https://openwhisk.apache.org