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Nov 21, 2024
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ATR 270 - Vision Systems
Last Date of Approval: Fall 2021
2 Credits
Total Lecture Hours: 15
Total Lab Hours: 30
Total Clinical Hours: 0
Total Work-Based Experience Hours: 0
Course Description:
This course introduces students to sensors and equipment used to control industrial robots in automated manufacturing. Students will be introduced to vision system technology by using up-to-date methods to select, identify, and install cameras and solid state components for automated control of robotic systems. The hands-on labs provide students with an opportunity to work with industrial equipment and develop troubleshooting skills, which will be crucial in all aspects of electrical automation.
Prerequisites/Corequisites: None
Mode(s) of Instruction: traditional/face-to-face
Credit for Prior Learning: There are no Credit for Prior Learning opportunities for this course.
Course Fees: None
Student Learning Outcomes and Objectives:
- Identify and describe the diverse types of sensors employed in automated systems
- Apply knowledge of cameras used with multi-axis robotic arms
- Recognize the significance of troubleshooting skills in maintaining functionality of sensors and vision systems
- Comprehend the principles and practices involved in integrating vision systems and sensors for effective automated control
Course Objectives
- Identify and install necessary components for controlling automated systems in industrial settings
- Develop the skills to configure a vision system and analyze its data through the use of PC software
- Diagnose and resolve issues in automated systems through targeted lab exercises
- Apply knowledge to seamlessly integrate cameras and sensors with various equipment, ensuring efficient automation processes
- Examine the performance of vision systems by fine-tuning parameters, enhancing accuracy, and ensuring reliability
- Explore and implement advanced configurations for vision systems
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