Pipeline training and inference Anomalib models UI in Anomaly Detection

This project aims to develop an innovative anomaly detection system using advanced data mining and deep learning techniques to accurately identify and localize defects in manufacturing components, thereby enhancing quality control processes and reducing production losses.

Anomaly Detection Using Anomalib and OpenVINO – Step by Step by Guide

Anomalib inference with TensorRT (python).

Defect Detection of Metal Nuts using anomalib library

Toothbrush Anomalies Detector

Anomalies Detector - Bent wire

This project utilizes anoamlib, a powerful anomaly detection library, to detect anomalies in capacitors based on their electrical characteristics.