General Data | ||||
---|---|---|---|---|
Academic program | Incoming Exchange Student Courses | Module Manager(s) :
GIBERT Guillaume |
||
EC Type : Lectures | IT Expertise - Machine Vision (LIIExp08EMachineVision) | |||
Lab Work : 8h00 Lectures : 4h00 Individual work : 6h00 Total duration: 18h00 |
Status
Obligatoire |
Period
Semester 8_Robotic And Automation |
Teaching language :
English |
General objectives |
---|
By the end of this course, students will be able to: 1. Define the role of lighting and camera features in image acquisition 2. Cite various technologies in image acquisition (1D, 2D, 3D and multiscan) 3. Choose the best lighting and camera for a given image acquisition application |
Content |
---|
-Introduction to camera features -Introduction to the importance of lighting in image acquisition -Introduction to various technologies in image acquisition -Practical application on quality control, robot guidance and deep learning |
Corequis |
---|
-Signal processing -Sensing & perception |
Bibliographie |
---|
Essential resources: None Recommended resources: Corke P. (2011) Robotics, Vision and Control. Springer Tracts in Advanced Robotics, vol 73. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20144-8_15 |