There are several industrial and agriculture problems in quality assessment and control that have received focused attention by academia, government and industry. For example, some industries are involved in developing their own visual systems for inspection, testing and automation. On the other hand, there is a growing amount of research being conducted on food characterization using several sophisticated algorithms in image and video analysis. Moreover, solutions can be found within and beyond the visible spectrum. Due to continuous progress in image acquisition systems, image and video processing algorithms, computer vision techniques, and fast and low-cost software and hardware, the application domain of machine vision systems is growing, giving rise to new challenges and opportunities. The goal of this workshop is to provide a forum for industry, engineers, researchers and students to discuss the state-of-the-art in image and video technologies applied to quality assessment and control. The key idea is to present recent developments in this field, because we believe that different applications can share similar solutions. The workshop includes research in areas of image processing, machine vision, pattern recognition, and machine learning used to solve problems on quality assessment and control.