Engineers can use the Cognex Deep Learning defect detection tool in unsupervised mode to train the software on a set of "good" airbag images to create a reference model of the airbag. All features that deviate from the normal appearance of the model will be depicted as anomalies. In this way, Cognex Deep Learning can reliably and consistently detect all anomalies, such as pinholes, cracks, holes and unusual stitching patterns. It quickly identifies and reports areas of fabric defects, completely eliminating the need for expensive defect databases.