Article
Engineering, Multidisciplinary
Yuanze Chen, Fuqiang Zhou, Lin Wang, Pengfei Sun
Summary: This paper proposes a novel imaging model of off-axis non-central spherical mirrored vision sensor, which realizes the mapping from three-dimensional space to the two-dimensional image plane through spherical mirror reflection and rectifies spherical distortion. The imaging effect of the model is verified and error analysis is conducted. The research quantitatively describes the mapping relationship and expands the field-of-view, providing a new idea for establishing the measurement model of mirrored stereo vision sensor.
Article
Computer Science, Interdisciplinary Applications
Paulo Ricardo Marques de Araujo, Romulo Goncalves Lins
Summary: This paper presents a cloud-based approach of an automatic system based on stereo vision and image analysis for automating workpiece referencing in machining companies. Experimental results validate the application of the proposed architecture in a real machining process.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2021)
Article
Engineering, Multidisciplinary
Yazid Saif, Yusri Yusof, Kamran Latif, Aini Zuhra Abdul Kadir, Maznah binti lliyas Ahmed, Anbia Adam, Noor Hatem, Danish Ali Memon
Summary: Manufacturing metrology is crucial in the industrial 4.0-based manufacturing industry. The use of IoT and the 3SMVI system with image processing technology allows for accurate measurement of roundness errors and overcoming challenges posed by these errors.
Article
Automation & Control Systems
Chung-Feng Jeffrey Kuo, Wei-Han Weng
Summary: The study investigates the impact of jerk on the performance of five-axis synchronous high-speed CNC ball nose end mills, establishing the relationship between image features of jerk-clustered workpieces and different jerk settings. It analyzes surface texture features and predicts surface roughness.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Environmental Sciences
Stanislaw Hozyn, Bogdan Zak
Summary: The study aimed to design a vision-based control method to compensate for the lack of navigation systems in underwater inspection-class ROVs. The research employed a stereo vision system and image-feature matching and tracking techniques, conducting experiments in a swimming pool to test the method's effectiveness.
Article
Engineering, Mechanical
Aqeel Ahmed, Muhammad Wasif, Anis Fatima, Liming Wang, Syed Amir Iqbal
Summary: This research developed a mathematical model to determine the feasible workpiece location on a five-axis machine tool, aiming to reduce the number of iterations. The post-processor was used to determine the tooltip reachable workspace based on machine tool envelopes and axial limits, leading to the development of an algorithm to accurately determine workpiece setup parameters.
FRONTIERS OF MECHANICAL ENGINEERING
(2021)
Article
Engineering, Industrial
Lin Li, Mingheng Fu, Tie Zhang, He Ying Wu
Summary: The proposed algorithm integrates a weighted bi-directional feature pyramid network into SSD to improve workpiece location accuracy. It decreases maximum location error by more than 22% and average location error by at least 5%. In trajectory prediction experiments, the algorithm shows average location error below 0.13 mm and maximum error no more than 0.23 mm.
INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION
(2022)
Article
Robotics
Tu-Hoa Pham, William Seto, Shreyansh Daftry, Barry Ridge, Johanna Hansen, Tristan Thrush, Mark Van der Merwe, Gerard Maggiolino, Alexander Brinkman, John Mayo, Yang Cheng, Curtis Padgett, Eric Kulczycki, Renaud Detry
Summary: A visual localizer is proposed to address the challenge of rover relocalization on Mars, exhibiting robustness to barren terrain and large lighting differences. By synthesizing partial renderings and matching them to R1 images, the method effectively solves the relocalization problem of the rover. Experimental results demonstrate the effectiveness of the approach.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Engineering, Electrical & Electronic
Wei Zhang, Zongwang Han, Yang Li, Hongyu Zheng, Xiang Cheng
Summary: This study presents a method based on machine vision for measuring workpiece form deviations. It introduces new algorithms to evaluate the straightness, roundness, and cylindricity deviations of the workpiece, as well as an image evaluation method for cylindricity deviation. An image acquisition system is developed and its performance is evaluated. The proposed method provides a viable industrial solution for measuring workpiece form deviations.
Article
Chemistry, Analytical
Yupeng He, Paul Miggiels, Nicolas Drouin, Peter W. Lindenburg, Bert Wouters, Thomas Hankemeier
Summary: In this study, an automated three-phase electro-extraction (EE) method coupled to machine vision was developed, integrated with a robotic autosampler hyphenated to liquid chromatography-mass spectrometry (LC-MS). The optimized EE method showed fast and automated extraction with high enrichment factors and extraction recoveries for both academic and low-concentration human samples. This method provides a solution for high-throughput bioanalysis workflows.
ANALYTICA CHIMICA ACTA
(2022)
Article
Engineering, Civil
Hamed Haghighi, Mehrdad Dianati, Valentina Donzella, Kurt Debattista
Summary: Camera image simulation is crucial for virtual validation of autonomous vehicles and robots, as well as for creating image datasets for training vision models. To address the computational complexity, we propose a technique based on Stereo Super Resolution (SSR) to speed up the simulation of stereo images, achieving promising results in terms of speed and performance.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Optics
Tie Zhang, Jingfu Zheng, Yanbiao Zou
Summary: In order to reduce the deviation in the imaging dimension of workpieces in monocular vision systems and improve the accuracy of dimensional measurement, a BRR-SVR-BPNN weighted voting ensemble learning deviation prediction algorithm is proposed. The algorithm combines the features of probability inference, maximum interval penalty, and nonlinear expression to achieve accurate prediction of deviation. The experimental results demonstrate the effectiveness and robustness of the algorithm, making it easily applicable in industrial settings for improving workpiece dimension measurement accuracy.
OPTICS AND LASER TECHNOLOGY
(2023)
Article
Computer Science, Interdisciplinary Applications
Junjie Zhou, Jianbo Yu
Summary: A machine vision method is proposed for precise measurement of chisel edge wear in high-speed steel twist drills, aiming to improve measurement accuracy and reduce testing costs. Experimental results demonstrate that the system exhibits high response speed and detection accuracy, showing great potential for real-time monitoring of tool wear in industry.
COMPUTERS IN INDUSTRY
(2021)
Article
Engineering, Mechanical
Yachel R. Mileski, Andre J. Souza, Heraldo J. Amorim
Summary: This work presents the development of a computer vision-based system for automating part referencing in CNC machining centers. The feasibility of the system was investigated through experimental validation, and the influence of part orientation on system accuracy was observed.
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING
(2022)
Article
Computer Science, Interdisciplinary Applications
Diyar Khalis Bilal, Mustafa Unel, Lutfi Taner Tunc, Bora Gonul
Summary: This work developed a robotic machining pose estimation system using LSTM and sparse regression to improve accuracy, which outperformed the Extended Kalman Filter method in experimental validation. The proposed methods provided better results and more parsimonious models.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
Article
Computer Science, Interdisciplinary Applications
Romulo Goncalves Lins, Paulo Ricardo Marques de Araujo, Marcio Corazzim
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2020)
Proceedings Paper
Engineering, Industrial
Paulo Ricardo Marques de Araujo, Alexandre Acacio de Andrade, Romulo Goncalves Lins
2018 13TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRY APPLICATIONS (INDUSCON)
(2018)
