Neural networks can recognize production processes by video to enhance industrial safety and efficiency

A research team from the Skoltech AI Center and Samara University have developed a system for automatically separating the stages of production processes from video streams. Industrial cameras will detect deviations in the production process themselves and even prevent accidents. By employing the self-supervised learning approach, the cost of manual data markup can be reduced while the model’s stability in real conditions can be increased. The research results are presented in the IEEE Access journal.

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