Blog · AI in Practice
What Problems AI Inspection Actually Solves
Automated detection is good at sorting large volumes of similar images and bad at rare events. Choosing it for the wrong one of those is the most common mistake.
Overview
- Good fit: many similar objects, a decision that tolerates a review step, and a cost attached to looking at all of them.
- Poor fit: rare events, high consequence, no tolerance for a miss, and no way to collect enough examples.
- The volume has to justify it — automating a task performed twice a month rarely pays for the setup.
- The output has to change a decision. If nobody acts differently, the detection has no value.
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