Safe Collaboration Between Human and Machine

This use case emphasizes on the safety of interactions between human and machine during quality inspection tasks. In this use-case the goal is to ensure mental and physical safety of the factory workers, by monitoring workers’ fatigue when performing manual labelling of images. 

By detecting workers’ fatigue, attention and/or mental stress during the labelling process it becomes possible to understand whether the labeled data can be trusted or if it should be reviewed by multiple workers to ensure the accuracy of the final label provided. It also enables monitoring worker health and, for example, to suggest a break or a change of activity to avoid disengagement.

DomainManufacturingHuman-AI Collaboration
TrendArtificial Intelligence
Validation TypeUse Case

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