The output of the AI is a suggestion that supports efficient damage detection. With the help of various KPIs, the quality of the results / suggestions can be measured and evaluated. Semi-automatic feedback systems enable the network to be adapted in real-time, thereby ensuring constant quality assurance. The current results can be viewed in the documentation for the individual network updates.
How can you ensure that all damages are detected right? Print
Modified on: Wed, 18 May, 2022 at 1:39 PM
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