Year: 2025
Type: conference-paper
Abstract: This paper introduces a detection system specifically designed for chamfering in metal holes, aimed at achieving precise detection of the chamfers.Chamfering, as a process of beveling the edges or corners of metal parts, plays a crucial role in the subsequent machining and assembly stages.Through multiple experimental validations, this paper employs an industrial camera with a telecentric lens to capture images of the metal chamfers, achieving optimal results.This paper utilizes computer vision techniques to accurately identify the location of the chamfers and delineate their dimensions.A comprehensive analysis of the chamfer radius effectively determines the presence of defects.
Authors: Shangying Han, Kaili Guo, Yanzi Kong, Yanliang Kong, Junjin Chen, Ce Bian, Mengfan Zhang
Institution: Tianjin University of Science and Technology
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4409914122