Smart and Safe Conveyor Belt System for Bottling Plants Using IoT

In modern industrial environments, automation is critical in enhancing efficiency and safety. This paper proposes an innovative approach to controlling industrial conveyors by integrating a Raspberry Pi with a digital image processing system capable of real-time human detection. Consequences aside, the principal objective is to cease conveyor operation immediately upon detecting an approaching individual to prioritize individuals’ safety and prevent catastrophes. In 2021, a thorough examination of conveyor accidents across seven discrete heavy industries reaffirmed the imperative nature of implementing such precautions. The system employs the OpenCV module, which comprises object detection algorithms and potentially deep learning models such as YOLO or Faster R-CNN, to discern individuals via digital image processing methods and the Raspberry Pi’s computational capabilities. Audible and visual feedback devices provide information on the conveyor’s status, and failsafes are incorporated to halt its motion promptly in the event of a malfunction. This endeavor aims to enhance industrial safety by integrating software and physical components. The importance of automation in fostering safer work environments and mitigating potential hazards is underscored.