In a bid to improve quality control and reduce production errors, manufacturers are increasingly adopting automated anomaly detection systems. These systems automatically identify defects in manufacturing products and are widely employed in various industries like automotive manufacturing, electronics, and pharmaceuticals.
Computationally efficient anomaly detection achieved through novel dual-lighting model
