An overview of machine vision based quality control strategies for smart manufacturing

Quality control and inspection have proven to be the key drivers for improved productivity and enhanced customer satisfaction. The strategies employed for quality control and inspection have evolved as intelligent and sophisticated mechanisms over the years. Machine vision-based quality control techniques have taken a prominent place in a smart manufacturing system for monitoring, inspection, design, and manufacturing to cater to the requirements of industry 4.0 standards. Under the proposed work, a systematic review of issues, needs, principles, challenges, and recent trends in the area of quality control and inspection methods is presented. The scope, requirements, and issues in building intelligent machine vision-based quality control techniques for the smart manufacturing facility are discussed.