SOLUTION / MACHINE VISION
Explore how camera inputs can support recognition, inspection, and decision workflows. A vision project starts by defining what needs to be observed—and what uncertainty remains.
01 / THE CHALLENGE
A camera produces pixels. A useful workflow connects those pixels with a well-defined question: which object is present, which condition needs review, or which part of the scene matters to the task.
02 / THE WORKFLOW
01
Specify the objects, states, or features the system needs to recognize and the conditions under which it will observe them.
02
Evaluate representative examples, ambiguous cases, and changes in lighting or orientation. Define how uncertain results reach a person.
03
Turn an observation into an appropriate next step: review, annotation, an operational alert, or input to a constrained plan.
03 / WHERE IT FITS
Potential workflows include visual inspection, object recognition, and scene interpretation. The appropriate approach depends on representative data and the consequences of missed or incorrect observations.
04 / DEFINE THE BRIEF
01
What question should the visual system answer?
02
What lighting, viewpoints, and object variations are expected?
03
Which observations require human review before action?
05 / EXPLORE THE INTERACTION
The Mission Console illustrates task input, observation, planning, and response using scripted scenarios. It helps make the workflow visible before a real integration is scoped.