Users can view the images and results of past inspections to identify trends and discover issues that may not have been flagged previously. Their quality data can be viewed over the last day, week, or from the very first inspection performed. This data can also be filtered by the specific defects detected, specific stations of interest, product line, or even by the inspector on duty. This granularity allows manufacturers to identify root causes and implement corrective actions much sooner than through manual reports.
Changes in quality data over time may not always be obvious. Having the ability to filter out noise, and reframe the data to a more useful timescale helps manufacturers more quickly discover when something is wrong. The timing of spikes in fail rates can be pinpointed, and the specific images of failures can be viewed alongside the data visualizations - removing any doubt that the data reflects what was actually observed on the floor.
Elementary’s embedded analytics capabilities enables manufacturers to easily review their quality performance over time, and quickly discover the actions necessary to maximize their product yield.
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