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Eyes of Things
Noelia Vallez
University of Castilla-La Mancha, Spain
This project has received funding from
the European Union’s Horizon 2020
research and innovation programme
under grant agreement No 643924
Overview
Overview
“Eyes of Things” Consortium
Motivation and Context
Vision is our richest sensor
One of the most complex
tasks for both humans and
machines
Proven success in ‘machine
vision’ context, i.e. factory
automation, inspection,…
Motivation and Context
CV is going out-of-factory …
• Microsoft Kinect
• Google Project Tango
• Google Glass
Lots of new developments
• Drones
• ADAS
• Multispectral, 3D, …
• Mobile imaging
• Deep learning
Motivation and Context
• Many innovative
‘out-of-the-factory’
CV applications
developed for
smartphones,
which are cheap,
easy-to-use …
Motivation and Context
• But smartphones are not appropriate for
many applications
• Wearable for the EOT? No
• Low power consumption? No
• Optimized for CV? No
• No flexible open
platform for mobile
embedded vision is
currently available
• New-platform
needed
• IoT devices:
• WaRPboard, Ambarella, Intel EDISON, Ingenic Newton2, Nixie…
Other devices?
Efficiency Size
Cost Flexibility
Challenges
Challenges
Build a generic vision system
that can be used standalone
but also embedded in more
complex artifacts
BOM < $15
EoT Platform: Hardware
EoT Platform: Hardware
EoT Platform: Hardware
EoT Platform: Software
Library/API Type Processing
OpenCV Computer vision Local and Cloud
MvCv Computer vision Local
Libccv Computer vision Local
Google Cloud Vision API Computer vision Local
Quirc QR code recognition Local
MvCNN Convolutional Neural Networks Local
MvBot Robotics applications Local
Opus Audio Local
RTSP Video streaming Local
MicroPython Scripting Local
MQTT Messaging -
Google Cloud Pub/Sub Messaging -
• In EoT we selected MQTT
• Open lightweight publish/subscribe protocol
• Efficient 1-to-n communication mechanism
MQTT Broker: Pulga
MQTT Broker: Pulga
It is used for communication
MQTT Broker: Pulga
The broker is embedded in the EoT device!
• Computer Vision library optimized for the EoT device
• Application example: Tracking
MvCv
• Computer Vision library
• Application example:
• Canny Edge Detection + RTSP Streaming
OpenCV
• Portable and Embeddable
• Modern Computer Vision Algorithms
• Clean Interface with Cached Image Preprocessing
• Application Example: Text Detection
https://github.com/liuliu/ccv
Libccv
• QR recognition
Quirc
MvBot
• EoT devices can control other hardware
Rotation Invariant
Face Detector
• EoT device programming language = C/C++
• We have added a MicroPython console!
MicroPython
4 demonstrators will be developed using the EoT platform
1. Peephole Surveillance
Demonstrators
4 demonstrators will be developed using the EoT platform
2. Hands-free automatic museum audio guide
Demonstrators
4 demonstrators will be developed using the EoT platform
3. Doll that recognizes child emotions
Demonstrators
4 demonstrators will be developed using the EoT platform
4. Wearable lifelogging camera
Demonstrators
Conclusions
http://www.eyesofthings.eu

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EoT slides presented at the Road2CPS “Smart-Cyber-Physical Systems Clustering and Communication Event”, Vienna, April 14th 2016