Vision-Based Quality Control Check of Tube Shaft using DNN Architecture

Abstract

Quality control is the process of ensuring that a product or service meets certain predetermined standards of quality. This can involve testing, inspection, and other methods to ensure that the product or service is fit for its intended use. The tube shaft is a component used in the drive shaft of a vehicle. It undergoes several stages from raw material to final product to increase its structural properties. Following the first step, which is hardening, preliminary quality control is done by cutting the tube shaft into two parts lengthwise to check the intensity of hardening and decide whether to accept or reject the part. We present a machine vision-based quality control system that uses You Only Look Once (YOLO) v5 to assess hardening intensity by analyzing the pattern formed on the cut piece’s surface.