Lighting is part of the process, not decoration
If image stability depends on ambient conditions, the project is already unstable. Lighting design, angle, reflection control, and surface variation must be treated as part of the process boundary.
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What Is Most Often Underestimated in Robot Vision Integration Projects
Robot vision projects are often described as image recognition tasks. In practice, they succeed or fail more on fixturing logic, exception handling, image consistency, and the way the vision loop is tied into the automation system.
Recognition logic must match motion logic
The camera may detect correctly and the robot may still fail. The project boundary needs a clear connection between recognition output, coordinate correction, gripping logic, and tolerance handling.
Exception paths matter as much as the happy path
A robot vision system should not only identify normal states. It must also define how to handle uncertainty, reject conditions, re-tries, and downstream escalation when the image result is not reliable enough.