Inspection System With “Deep Learning” for Easy Defect Detection
In February 2024, GEFRA GmbH started its newest development for visual inspection. Deep learning technology excels the standard vision application in defect detection, specifically in instances where there are complex and varying imaging conditions. The integration of this technology into the OPTISORT testing system offers users completely new perspectives. With deep learning, defective parts and good parts are learned and classified accordingly. These datasets are trained using multi-layer neural network architectures. Based on these templates, the test items are classified as good or defective parts. Deep learning requires a lot of computing power. High-performance GPUs have a parallel architecture that is efficient for deep learning. The easy operation of this application is also ensured by the user-friendly AutoControl testing software.