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2016 Canadian Machine Vision Conference
Call for Speakers

AIA Canadian Machine Vision Conference

The second Canadian Machine Vision Conference seeks presenters on a wide variety of topics in the machine vision and imaging field. Please submit an abstract with a description of the topic and details of your main talking points. Selected presenters will be awarded a speaking slot during the main program at the conference and will be included in the conference proceedings. Speakers will also be provided free admission to the conference. All presentations must be non-commercial and will be presented using a uniform conference template. Topics of interest include, but are not limited to:


  • Emerging Machine Vision Applications
  • Getting Started with Machine Vision
  • Machine Vision Lighting & Optics
  • Machine Vision Systems Integration
  • Machine Vision related Machine learning
  • Successfully Implementing Machine Vision Systems
  • 3D Vision
  • Smart Cameras & Vision Sensors
  • Camera networks
  • Non-Visible Imaging
  • Case Studies of Successful Vision Applications
  • Advances in Color Vision
  • Vision Guided Robotics
  • Human-robot interaction
  • Multi-robot systems
  • Software tools for vision and robotics
  • Teleoperation
  • Machine Vision Software
  • Advances in Camera Technology
  • Machine Vision Inspection
  • Applications of Vision & Imaging in Medical Imaging

Abstract submission deadline: July 8, 2016
Final Speaker selection: July 15,  2016
Presentation submission: October 7, 2016
Main program: October 20, 2016

Please fill out the information below and click on submit.  Fields marked with a * are required.



Speaker Information

*First Name
*Last Name
*Job Title
*Zip/Postal Code
Onsite mobile phone
(only used in an emergency)

If person submitting abstract is different from speaker, please complete the information below.

Presentation Information

*Title of Presentation
*Length of Presentation
Please list the three main points attendees would learn from this presentation.
Point 1
words left
Point 2
words left
Point 3
words left
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