General Data | ||||
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Academic program | Formation ECAM LaSalle Ingénieur spécialité Mécanique et Génie Electrique (ENGINEERING PROGRAM) | :
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Type d'EC | Classes (LIIEEng08EMachineVision) | |||
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Status :
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Period :
Semester 8 |
Education language :
English |
Learning Outcomes |
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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 |
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-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 |
Pre-requisites / co-requisites |
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-Signal processing -Sensing & perception |
Bibliography |
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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) | |||
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N° | Nature | Coefficient | Observable objectives |
1 | Observable objectives: final exam in which students will be evaluated on their ability to define the best image acquisition solution given specifications. | 0,8 | 1, 2, 3 |
2 | Observable objectives: labs in which students will be evaluated on their ability to define the best image acquisition solution given specifications. | 0,2 | 1, 2, 3 |