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Develop a camera setup for a robot
Assessment Strategies
Skill Demonstration
Criteria
Configure the computer to run iRVision software
Calculate the focal distance, field of view, and measurement accuracy for a vision setup
Select an appropriate lens based on the inspection parameters
Mount a camera and align it
Adjust the lighting location and types
Adjust the exposure and focus
Successfully adapt a vision system to capture features of at least 3 different parts
Use manufacturer specific software
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Create a user and tool frame for vision applications
Assessment Strategies
Skill Demonstration
Criteria
Calibrate a 6 pt tool frame
Teach an application user frame and an offset user frame
Use a calibration grid to calibrate an offset user frame and perform camera calibration
Use the application user frame and offset user frame in iRVision
Select appropriate frame locations, numbers, and teaching types
Use manufacturer specific software
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Calibrate for a vision process
Assessment Strategies
Skill Demonstration
Criteria
Create an iRVision Camera Setup
Calibrate a camera to make a physical measurement
Create an iRVision Camera Calibration
Determine the accuracy of your calibration
Use manufacturer specific software
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Setup a single-view inspection vision process
Assessment Strategies
Skill Demonstration
Criteria
Setup an iRVision single-view inspection vision process
Describe when to use feature identifiers such as GPM, BLOB, and edge detection
Setup error handling if the vision system cannot identify a part
Select appropriate degrees of freedom for part detection
Determine if a part passes or fails based on vision inspection
Demonstrate changing the cell behavior based on the inspection result
Use manufacturer specific software
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Setup a 2D single-view vision offset process
Assessment Strategies
Skill Demonstration
Criteria
Setup an iRVision 2D single-view vision offset process
Troubleshoot frame alignment and offset errors
Utilize PRij offsets
Use Conditional Execution Tools to send part information to the robot program
Demonstrate changing the robot behavior based on part information
Successfully direct robot motions to pick a part based on vision offsets
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Troubleshoot common vision inaccuracies
Assessment Strategies
Skill Demonstration
Criteria
Correct lighting issues such as glare, shadows, and blurriness
Describe lighting solutions such as filters, diffusion, and back lighting
Use search area limits to remove distracting background elements
Use masks to limit the software to the desired part features
Gather troubleshooting information using Vision Runtime on the Teach Pendant
Use manufacturer specific software
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Manage implementing a vision project using the automated cell
Assessment Strategies
Skill Demonstration
Written Product (Project Documentation)
Criteria
Project proposal for a vision system is professionally written according to specifications
Project includes a program plan, created before beginning work
Identify work holding or fixturing for adding a vision inspection to the automated cell
Adapt camera setup and lighting to suit the conditions and limitations of the automated cell
Setup a vision inspection for parts in different locations, such as on a conveyor, held by a robot, or in a fixture
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Develop an awareness of how vision systems can be vulnerable to bias
Assessment Strategies
Skill Demonstration
Written Product
Criteria
Identify natural variation that the vision system may encounter
Describe physical differences (including race for human vision systems) that may affect a vision system and why they must be considered
Select appropriate and unbiased models for training the vision system
Propose good programming practices to accommodate natural variation