An industrial vision system for surface quality inspection of transparent parts

Martínez, S. Satorres; Ortega, Juan Gómez; García, Javier Gámez; García, Ángela Domínguez; Estévez, Elisabet

doi:10.1007/s00170-013-4904-2

Cited by 52 publications

(41 citation statements)

References 25 publications

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“…One of the least automated processes is the quality control of surfaces [1,2]. This is primarily attributed to the fact that automated processes remain elusive in meeting strict requirements when it comes to short cycle time, low cost and the high quality achieved in other manufacturing industries [3,4].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Sliding Mode Control for Robotic Surface Treatment Using Force Feedback

et al. 2018

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This work presents a hybrid position-force control of robots in order to apply surface treatments such as polishing, grinding, finishing, deburring, etc. The robot force control is designed using sliding mode concepts to benefit from robustness. In particular, the sliding mode force task is defined using equality constraints to attain the desired tool pressure on the surface, as well as to keep the tool orientation perpendicular to the surface. In order to deal with sudden changes in material stiffness, which are ultimately transferred to the polishing tool and can produce instability and compromise polishing performance, several adaptive switching gain laws are considered and compared. Moreover, a lower priority tracking controller is defined to follow the desired reference trajectory on the surface being polished. Hence, deviations from the reference trajectory are allowed if such deviations are required to satisfy the constraints mentioned above. Finally, a third-level task is also considered for the case of redundant robots in order to use the remaining degrees of freedom to keep the manipulator close to the home configuration with safety in mind. The main advantages of the method are increased robustness and low computational cost. The applicability and effectiveness of the proposed approach is substantiated by experimental results using a redundant 7R manipulator: the Rethink Robotics Sawyer collaborative robot.

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Section: Introductionmentioning

confidence: 99%

Adaptive Sliding Mode Control for Robotic Surface Treatment Using Force Feedback

et al. 2018

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“…In many studies, such as [21] and [22], the selection and calibration of multiple types of sensors are considered to be key issues. The key sensors consist of industrial camera, lens, light source and image acquisition card.…”

Section: B Computer Vision Systemmentioning

confidence: 99%

Automatic and Efficient Metallic Surface Defect Detection Based on Key Pixel Point Locations

Gao

Sun

et al. 2021

IEEE Sensors J.

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Surface defect detection aims to accurately recognize and distinguish types of defects and plays a key role in many applications. However, most of the recent studies focus on specific scenario detection and do not fairly consider the balance between the speed and accuracy. In the paper, we propose a key pixel points location-oriented method to identify multiscale defects, with several important properties: 1) A real-time template matching-based model is designed to speed up the process by introducing the Gaussian operator; 2) An improved Hough-based model is used to achieve a higher detection precision by deep mining both incremental properties and parallel properties; 3) An adaptive filtering-based image preprocessing method is proposed to eliminate the interference of multiple types of clutters and noises. In the experiments, a mean average rate of 96% was achieved to detect and classify four types of common defects and the average time was reduced to 0.149s. Furthermore, we fully evaluate the proposed method on two public datasets collected in real production lines and compare the results with other state-of-the-art methods. The results show that the proposed method achieved better balanced performance in many real application scenarios.

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“…One of the least automated processes is the quality control of surfaces [1]. This is primarily attributed to the fact that automated processes remain elusive in meeting strict requirements when it comes to short cycle time, low cost, and the high quality achieved in other manufacturing industries [2,3].…”

Section: Introductionmentioning

confidence: 99%

Robust Hybrid Position-Force Control for Robotic Surface Polishing

Solanes

Gracia

Muñoz-Benavent

et al. 2018

Journal of Manufacturing Science and Engineering

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This work presents a hybrid position-force control of robots for surface polishing using task priority. The robot force control is designed using sliding mode ideas in order to benefit from its inherent robustness and low computational cost. In order to avoid the chattering drawback typically present in sliding mode control, several chattering-free controllers are evaluated and tested. A distinctive feature of the method is that the sliding mode force task is defined using not only equality constraints but also inequality constraints, which are satisfied using conventional and nonconventional sliding mode control, respectively. Moreover, a lower priority tracking controller is defined to follow the desired reference trajectory on the surface being polished. The applicability and the effectiveness of the proposed approach considering the mentioned chattering-free controllers are substantiated by experimental results using a redundant 7R manipulator.

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An industrial vision system for surface quality inspection of transparent parts

Cited by 52 publications

References 25 publications

Adaptive Sliding Mode Control for Robotic Surface Treatment Using Force Feedback

Adaptive Sliding Mode Control for Robotic Surface Treatment Using Force Feedback

Automatic and Efficient Metallic Surface Defect Detection Based on Key Pixel Point Locations

Robust Hybrid Position-Force Control for Robotic Surface Polishing

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