ECAM LaSalle Mechanical and Electrical Engineering Programme
| General Data | ||||
|---|---|---|---|---|
| Academic program | ECAM LaSalle Mechanical and Electrical Engineering Programme | Module Manager(s) :
GIBERT Guillaume |
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| EC Type : Lectures | IT Expertise - Machine Vision (LIIEEng08EMachineVision) | |||
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Lab Work : 8h00 Lectures : 4h00 Individual work : 6h00 Total duration: 12 |
Status
|
Period
Semester 8 |
Teaching language :
English |
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| 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 stereovision |
| Corequis |
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| -Signal processing -Sensing & perception |
| Bibliographie |
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| 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 |
| Assessment(s) | |||
|---|---|---|---|
| N° | Nature | Coefficient | Observable objectives |
| 1 | 1, 2, 3 | 0,8 | Observable objectives: final exam in which students will be evaluated on their ability to define the best image acquisition solution given specifications. |
| 2 | 1, 2, 3 | 0,2 | Observable objectives: labs in which students will be evaluated on their ability to define the best image acquisition solution given specifications. |