  In this work, we present a framework for product quality inspection based on
deep learning techniques. First, we categorize several deep learning models
that can be applied to product inspection systems. Also we explain entire steps
for building a deep learning-based inspection system in great detail. Second,
we address connection schemes that efficiently link the deep learning models to
the product inspection systems. Finally, we propose an effective method that
can maintain and enhance the deep learning models of the product inspection
system. It has good system maintenance and stability due to the proposed
methods. All the proposed methods are integrated in a unified framework and we
provide detailed explanations of each proposed method. In order to verify the
effectiveness of the proposed system, we compared and analyzed the performance
of methods in various test scenarios.
