_FCN
RFF500B-AIW-DNN is part of the Raystar_FCN product line. It is a deep neural network optimized for object detection and recognition in automated industrial environments. It combines the network's 500-node architecture with an AI-guided supervised learning algorithm, allowing it to detect patterns and objects in industrial scenarios with high accuracy. The DNN works to identify patterns, detect defects, defeat anomalies, and identify objects that may not be visible to the human eye. This includes items such as nuts, bolts, small components, and materials. RFF500B-AIW-DNN is pre-trained on a wide range of industrial environments, which allows it to quickly detect objects with greater precision.