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检索条件"任意字段=2023 International Conference on Robotics, Control and Vision Engineering, RCVE 2023"

共 1303 条记录，以下是171-180 订阅

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A review of binocular vision-based target detection techniques

A review of binocular vision-based target detection techniqu...

引用

2023 international conference on Image, Signal Processing, and Pattern Recognition, ISPP 2023

作者： Lu, Hao Dong, Yu School of Automation and Electrical Engineering Lanzhou Jiaotong University Lanzhou Gansu China

ISBN: (纸本)9781510666351

Binocular vision-based target detection is one of the hot topics in computer vision, where the technique aims to detect and localize target objects in images. The technology has applications in fields such as autonomous driving, video surveillance, and UAV flight control. In recent years, with the development of deep learning techniques, its speed, accuracy, and robustness have led to its widespread use in various research areas. This paper first lists the history of the development of target detection techniques, then introduces two target detection methods for binocular vision, and finally suggests possible improvements and development trends. Through summary and analysis, the aim is to provide a reference for work related to conducting binocular vision target detection. © 2023 SPIE.

关键词： Binocular vision

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Kinect V2 Camera Based vision System for Robotic Grinding

Kinect V2 Camera Based Vision System for Robotic Grinding

引用

IEEE international Instrumentation and Measurement Technology conference (I2MTC) - Rising Above Covid-19

作者： Zhang, Qimin Wang, Qiang Wang, Ningyuan Xie, Jiulong Harbin Inst Technol Dept Control Sci & Engn Harbin 150001 Peoples R China

ISBN: (纸本)9781665453837

The vision system often plays a vital auxiliary role in the high-precision grinding process of the robot. This paper presents an eye-in-hand vision system which incorporates a depth camera on the six-axis robotics and scans from multiple angles to extract the information of workpieces to be ground. Contour and centroid extraction were applied for locating workpiece and planning path of fine scanning. After obtaining the multi-angle point cloud images, we reconstructed the point cloud of the workpiece surface through point cloud registration and segmentation. Harris corner detection was used to recognize bumps on the surface. Then grinding information was uniformly converted to the robot coordinate system through coordinate transformation. The experimental results show that this system can obtain comprehensive and precise grinding information, ensuring the smooth execution of robotic grinding.

关键词： vision system Contour extraction Point cloud reconstruction Coordinate transformationn Robotic grinding

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One-Shot Grading: Design and Development of an Automatic Answer Sheet Checker

One-Shot Grading: Design and Development of an Automatic Ans...

引用

2023 IEEE international conference on Industrial engineering and engineering Management, IEEM 2023

作者： Blattler, A. Sittiwanchai, T. Tareram, P. Chenvigyakit, W. Sila-Ars, C. King Mongkut's University of Technology North Bangkok Department of Production and Robotics Engineering Bangkok Thailand Bangkok Thailand Bangkok Thailand

ISBN: (纸本)9798350323153

Technological advancements have transformed the landscape of examination grading, necessitating efficient and reliable solutions. This paper introduces 'One-Shot Grading, ' an Automatic Answer Checker that utilizes machine vision and image processing to evaluate multiple-choice and true-false questions. The system offers adaptability to diverse exam formats, allowing for modifications to the answer sheet's choices, parts, and size. Extensive validation tests demonstrate consistent performance with 100.0% accuracy in recognizing student IDs and grading sheets marked with a 2B pencil. The system effectively identifies and rejects erroneous sheets, maintaining a robust grading process. Comparison with the ZIP GRADE app confirms the reliability and accuracy of the Automatic Answer Checker. The system displays flexibility and accuracy in grading papers of varying weights, showcasing its adaptability to real-world conditions. Future research should explore extending the system to different question formats and investigating environmental factors' impact on performance. © 2023 IEEE.

关键词： adaptability automatic grading image processing machine vision multiple-choice questions subjective answer checker

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The Fuzzy control of LED Lights in Machine vision System 6

The Fuzzy Control of LED Lights in Machine Vision System

引用

6th international conference on Communications, Information System and Computer engineering, CISCE 2024

作者： Chen, Jiantao Chen, Yan Zhang, Lirong Liu, Yongqi School of Aeronautical Engineering Beijing Polytechnic Beijing China Schneider Smart Technology Co. Ltd Department of Digital Innovation & Technology Beijing China

ISBN: (纸本)9798350353174

With the vast applications of artificial intelligence technology in industrial manufacture domains, lots of machine vision system are used in the fields. Due to different lights conditions on different sites, it costed many times to adjust the machine vision system to a good performance. To decrease the adjustment time a fuzzy control method to automatically adjust the lights illuminance was proposed. In the method the industrial camera captured image was set as the control target. And the real-time quality assessment of the image was designed with the combination of objective method and subjective method. The lights illuminance of the machine vision system was automatically adjusted using the fuzzy logic to get qualified image satisfying the post image process requirements. The fuzzy logic was designed and verified using Matlab and the whole approach was practiced in a machine vision training device. The whole approach was proven feasible and provided valuable reference to the similar engineering applications. © 2024 IEEE.

关键词： Fuzzy control

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Quality evaluation of Automotive Body Robot Roll-Hemming Forming Process Based on Computer vision 5

Quality evaluation of Automotive Body Robot Roll-Hemming For...

引用

5th international Symposium on robotics and Intelligent Manufacturing Technology, ISRIMT 2023

作者： Li, Mozhi Zhu, Wenfeng Wang, Shunchao School of Mechanical Engineering Tongji University Shanghai201804 China

ISBN: (纸本)9798350316087

The quality defects in the robot roll-hemming forming process will cause the automotive body to fail to meet the requirements of appearance and assembly accuracy. To this end, a method of robot roll-hemming forming quality evaluation based on computer vision is proposed. Firstly, the quality defects of body roll-hemming forming are divided into two categories: dimensional defects and roll-hemming failure. For the dimensional defects of the automotive body, the edge detection of the automotive body and the die is carried out by the fusion of improved Canny operator and morphological open operation, and the dimensional deviation of the automotive body is measured by monocular vision;for the roll-hemming failures, the YOLOv5 model is used for real-time classification and detection. Finally, when the automotive body dimensional deviation exceeds the allowable tolerance range or the roll-hemming failure is detected, the roll-hemming forming quality is judged to be unqualified and the robot roll-hemming forming process is ended. The experiment shows that the above method can effectively evaluate the quality of the robot roll-hemming forming process. © 2023 IEEE.

关键词： Quality control

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Construction of Computer vision Guidance System for Spacecraft Orbit Based on Artificial Intelligence Algorithm

Construction of Computer Vision Guidance System for Spacecra...

引用

2023 international conference on Internet of Things, robotics and Distributed Computing, ICIRDC 2023

作者： Qiu, Rui Ma, Guangcheng Fu, Hao Harbin Institute of Technology Heilongjiang Harbin150006 China Beijing Institute of Spacecraft Environment Engineering Beijing100094 China

ISBN: (纸本)9798350375275

Accurate navigation and positioning of spacecraft is the key factor to ensure the successful implementation of its mission. In order to cope with the complex and changeable space environment, a computer vision guidance system for spacecraft orbit based on artificial intelligence (AI) algorithm is proposed in this study. Based on the deep learning algorithm, the system aims to realize an efficient and robust navigation system by processing and analyzing the visual information of spacecraft orbit in real time. In this study, neural network can approximate any nonlinear function, the relative motion state of the spacecraft at the current moment and the remaining time of the pursuit game are taken as inputs, and the maneuvering acceleration of the spacecraft during the pursuit process is taken as output. The internal relationship contained in these data is studied by using deep neural network, and an online generation method of maneuvering strategy of the spacecraft pursuit game with fixed stay based on deep neural network is obtained. By training on large-scale data sets, we demonstrate the generalization ability of the deep learning model in unknown orbit scenes. The good generalization of the model makes the system have the ability to adapt to different tasks and environments, which provides strong support for the reliable implementation of practical tasks. © 2023 IEEE.

关键词： Deep neural networks

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Flatness Measurement of Steel Strip Using Three Laser Stripes

Flatness Measurement of Steel Strip Using Three Laser Stripe...

引用

2024 lEEE international conference on Advanced Information, Mechanical engineering, robotics and Automation, AIMERA 2024

作者： Zhu, Kaiyuan Zhao, Jianwei Fan, Yibing Yan, Shuzong Wang, Xiaochen Yang, Quan University of Science and Technology Beijing Institute of Engineering Technology Beijing China University of Science and Technology Beijing School of Mechanical Engineering Beijing China

ISBN: (纸本)9798350343335

In recent years, with the rapid development of machine vision technology, flatness measurement devices based on line-structured light have been gradually applied to strip steel production lines. However, in the complex and harsh environments of industrial sites, the vibration and rotation of the strip can impact the results of flatness measurement, leading to measurement errors. This paper proposes a flatness measurement device based on triple-line light sources to address this challenge. The device uses an industrial camera to capture the projection of three lasers on the surface of the strip. By repeatedly collecting data from the same position on the steel strip, it achieves high-precision measurement of strip flatness. We designed simulated experiments. The results indicate that the proposed method effectively eliminates measurement errors caused by steel strip vibration and rotation, thereby improving flatness measurement accuracy. This approach has certain reference value for the improvement of flatness measurement technology in industrial environments. © 2024 IEEE.

关键词： Machine vision

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vision-Based System Identification of a Quadrotor 8

Vision-Based System Identification of a Quadrotor

引用

8th international conference on Image, vision and Computing, ICIVC 2023

作者： Iz, Selim Ahmet Unel, Mustafa Sabanci University Faculty of Engineering and Natural Sciences Istanbul Turkey

ISBN: (纸本)9798350335231

This paper explores the application of vision-based system identification techniques in quadrotor modeling and control. Through experiments and analysis, we address the complexities and limitations of quadrotor modeling, particularly in relation to thrust and drag coefficients. Grey-box modeling is employed to mitigate uncertainties, and the effectiveness of an onboard vision system is evaluated. An LQR controller is designed based on a system identification model using data from the onboard vision system. The results demonstrate consistent performance between the models, validating the efficacy of vision-based system identification. This study highlights the potential of vision-based techniques in enhancing quadrotor modeling and control, contributing to improved performance and operational capabilities. Our findings provide insights into the usability and consistency of these techniques, paving the way for future research in quadrotor performance enhancement, fault detection, and decision-making processes. © 2023 IEEE.

关键词： Fault detection

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Design of a Spiral Wheeled Adaptive Pipeline Robot 5

Design of a Spiral Wheeled Adaptive Pipeline Robot

引用

5th international Symposium on robotics and Intelligent Manufacturing Technology, ISRIMT 2023

作者： Wang, Min Bian, Bowei Cai, Lin Li, Kun Pan, Yuwei Chen, Jiang Engineering Technology Center Southwest University of Science and Technology Mianyang Sichuan621010 China Information Engineering College Southwest University of Science and Technology Mianyang Sichuan621010 China Manufacturing Science and Engineering College Southwest University of Science and Technology Mianyang Sichuan621010 China Computer Science and Technology College Southwest University of Science and Technology City Country Sichuan Mianyang621010 China

ISBN: (纸本)9798350316087

Aiming at the complex environment with different pipe diameters and steep slopes, a motor-driven spiral wheeled adaptive pipeline robot is designed. The iris mechanism is used to realize the adaptive function of robot's diameter change;The robot can move forward, backward, accelerate, decelerate, expand and contract by remote control. Combined with the core machine vision algorithm and wireless image transmission technology, pipeline defects are intelligently detected and transmitted in real time. Theoretically, the critical state of the robot crawling in the vertical pipeline is analyzed statically, and the physical prototype of the robot is built. Through the physical test, it is verified that the robot can work normally in the pipeline diameter range of 110180mm. The results show that the robot has the advantages of good climbing ability, strong expansibility and simple operation. © 2023 IEEE.

关键词： Computer vision

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A vision Algorithm for Robot Seam Tracking Based on Laser Ranging 3

A Vision Algorithm for Robot Seam Tracking Based on Laser Ra...

引用

3rd international conference on Computer, control and robotics, ICCCR 2023

作者： Dong, Minghao Qin, Xiansheng Fu, Yuru Xu, Hao Wang, Jian Wu, Di Wang, Zhanxi School of Mechanical Engineering Northwestern Ploytechnical University Xi'an China

ISBN: (纸本)9781665492126

In automatic welding processing, high temperature likely induces local deformation of the weldment, resulting in accuracy deviation and welding quality. Therefore, the research on weld tracking technology is significant. Most current weld trackers are installed at the end of the welding torch. Due to the tracker volume, interference often occurs in welding operations under complex conditions. This paper designs and develops a seam tracking system for human-computer interactive mobile robots. The spatial coordinates were obtained by camera calibration, line laser calibration, and hand-eye calibration. The seam feature points are extracted by image processing. A seam tracking experimental platform is built, and the results are compared with the seam's actual fitting curve to verify the system's feasibility. © 2023 IEEE.

关键词： Machine design

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