From my participation to the Women in Machine Learning Paris Meetup. This is a presentation on how to build an IoT system using Edge computing and some Deep Learning.
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A connected bar with Greengrass & some Deep Learning
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A little bit about me ...
Sameh Ben Fredj
Data scientist & IoT consultant @ Xebia
Co-organizer of DataXDay
Mum of 2
Food & Travel Lover
@Punta Cana 2019
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Meet our connected bar !
Beer
recognized and
order sent to
cloud
Beer
served
Beer order via Pi
camera
source: Google image
The connected bar interface
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Lets see a small video !
https://www.youtube.com/watch?time_con
tinue=90&v=PqctEzu6QyA
From Xebicon conference 2018:
See demo from minutes 0:16 to 0:57
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Edge Computing: De鍖nition
Edge computing is a method of
optimizing cloud computing systems by performing data
processing at the edge of the network, near the source of
the data
source: Hackernoon
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Edge Computing: Bene鍖ts
Decentralized processing
Reliability
Processing close to data source
Select data and insights flow to the cloud
Low latency
Privacy and data protection
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GreenGrass: ML inference on Edge
beer bottle: 0.88
soda bottle: 0.64
Deep Neural Network: Squeezenet like for
image classification
A convolutional neural network (CNN)
Trained using ImageNet database
Platform for NN: MXNet
Model stored on S3