Inspection Application in an Industrial Environment with Collaborative Robots
Paulo Sérgio Graziano Magalhães, N. M. Fonseca Ferreira
Abstract
In this study, we analyze the potential of collaborative robotics in automated quality inspections in the industry. The development of a solution integrating an industrial vision system allowed evaluating the performance of collaborative robots in a real case. The use of these tools allows reducing quality defects as well as costs in the manufacturing process. In this system, image processing methods use resources based on depth and surface measurements with high precision. The system fully processes a panel, observing the state of the surface to detect any potential defect in the panels produced to increase the quality of production.
Topics & Concepts
RoboticsRobotQuality (philosophy)Computer scienceProcess (computing)Manufacturing engineeringArtificial intelligenceMachine visionSystems engineeringEngineeringPhilosophyEpistemologyOperating systemIndustrial Vision Systems and Defect DetectionManufacturing Process and OptimizationRobot Manipulation and Learning