Collaborative real-time vision-based device for olive oil production monitoring

TL;DR

This paper introduces a real-time computer vision system for olive oil production that detects foreign objects to enhance quality control and machinery safety, using visual, audio, and laser alerts.

Contribution

The paper presents a novel integrated vision-based monitoring system specifically designed for olive oil manufacturing to detect foreign objects and prevent equipment damage.

Findings

Effective foreign object detection in real-time

Improved quality control in olive oil production

Enhanced machinery safety through alerts

Abstract

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.