Anomaly Detection AI

Simplnet model to detect anomalies in glassfiber production

Implemented a Simplenet convolutional neural network to detect anomalies in glassfiber production images. Gathered and labeled a custom dataset, trained the model, and evaluated its performance. The model achieved high accuracy in detecting defects, contributing to improved quality control in the manufacturing process. With the model out performing our lables for anomalies.