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Vision for Robotic Systems

What Will Learn?

  • Course Aims
    Demonstrate knowledge of the fundamental principles of theory and applications related to design and analyze different types of mechanisms and evaluate their performance. Design gripper, feeders, and Geneva mechanisms.

Requirements

MCT343

Description

  • English Description

    Tracking and density propagation. Visual surveillance and activity monitoring. Medical imaging. Product inspection. Color sorting. Surface detection. Automated visual grading. Vision-based quality control. Defect detection. Estimating the size and shape of objects. Applications of machine vision in robotic systems
  • Arabic Description

    Tracking and density propagation. Visual surveillance and activity monitoring. Medical imaging. Product inspection. Color sorting. Surface detection. Automated visual grading. Vision-based quality control. Defect detection. Estimating the size and shape of objects. Applications of machine vision in robotic systems
  • Department
    Mechatronics Engineering
  • Credit Hours
    3
  • Grades
    Total ( 100 ) = Midterm (25) + tr.Major Assessment (30 = tr.Industry 4% , tr.Project 12% , tr.Self_learning 4% , tr.Seminar 15% ) + tr.Minor Assessment (5) + Exam Grade (40)
  • Hours
    Lecture Hours: 2, Tutorial Hours: 2, Lab Hours: 1
  • Required SWL
    100
  • Equivalent ECTS
    4
  • Stanisic, M.M., 2014. Mechanisms and Machines: kinematics, dynamics, and synthesis. Cengage Learning.
  • Angeles, J. and Angeles, J., 2002. Fundamentals of robotic mechanical systems (Vol. 2). New York: Springer-Verlag. [EKB]
  • Huat, L.K., 2006. Industrial robotics: programming, simulation, and applications.