  This paper proposes an innovative approach to improving quality control of
olive oil manufacturing and preventing damage to the machinery caused by
foreign objects. We developed a computer-vision-based system that monitors the
input of an olive grinder and promptly alerts operators if a foreign object is
detected, indicating it by using guided lasers, audio, and visual cues.
