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检索条件"任意字段=Proceedings of the 3rd International Conference on Control and Computer Vision"

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Development of ballast water control simulation system for solid bulk carriers

Development of ballast water control simulation system for s...

引用

Robotics, Automation and Intelligent control (ICRAIC), international conference on

作者： Derun Yang Baijun Tian Navigation College Dalian Maritime University Dalian China

With the advancement of computer technology and intelligent navigation systems, the manual button-operated ballast water handling on bulk carriers has been upgraded to computer system operations. Addressing issues such as the independence of ship stowage calculation computer systems, the absence of interfaces connecting them to the ballast water system, and the inability to dynamically synchronize Calculation ballast water and cargo handling during loading and unloading operations, a virtual simulation system has been developed. This system simulates cargo loading and unloading as well as ballast water operations, serving both training purposes and providing remote ballast water control and intelligent vessel management capabilities. The advantages and applications of this system lie in its ability to enhance the safety and efficiency of ballast water management through computational integration while simultaneously strengthening crew training. Increase and improve the safety of the ship in operation, make the crew more realistic training related operations, and improve the integrity of the crew training program.

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Design of service robot control system for epidemic prevention and control

Design of service robot control system for epidemic preventi...

引用

Power Electronics, computer Applications (ICPECA), IEEE international conference on

作者： Xinjing Zhang Yingxi Chen Weiwei Ma Xi'an University of Science and Technology Xi'an China Sichuan Agricultural University Ya’an China China Three Gorges University Yichang China

In view of the fact that Covid-19 is highly contagious, which poses great threat and inconvenience to people's production and life, a multifunctional robot control system with single-chip microcomputer as the control core is designed, aiming at the problems of centralized isolation points in communities, complicated situation and difficult management. Firstly, Gmapping algorithm is used to realize the robot's autonomous positioning and avoidance. Secondly, a three-degree-of-freedom robot arm is designed to disinfect any indoor space. Finally, Gmapping algorithm is used to recognize and measure the temperature of human face. Through the simulation experiment, this method can improve the efficiency of searching the shortest path and carry out disinfection work while reducing human contact, improving public safety and has practical value.

关键词： Temperature measurement Epidemics Service robots Face recognition Heuristic algorithms Robot control Production

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Aggressive Growing Mixup: A Faster and Better Semi-Supervised Learning Approach 3

Aggressive Growing Mixup: A Faster and Better Semi-Supervise...

引用

3rd IEEE international conference on Frontiers Technology of Information and computer, ICFTIC 2021

作者： Li, Zhenlei Hong, Zhaolin Zheng, Haoran University of Science and Technology of China School of Computer Science and Technology Hefei China

ISBN: (纸本)9781665406055

Semi-supervised learning has proven to be a powerful paradigm to avoid overfitting small labeled training sets. In this work, we propose a more robust algorithm to make better leverage unlabeled samples for generalization models compared to the latest semi-supervised learning approaches. Our method, named Aggressive Growing Mixup or AGMixup, works for mixing labeled and unlabeled samples using Mixup-the batch size of unlabeled samples is aggressively increased. We show that AGMixup achieves state-of-the-art results on standard semi-supervised learning benchmarks CIFAR-10 and SVHN. For example, AGMixup outperforms all previous approaches and achieves an error rate of 4.25% on CIFAR-10 with only 250 examples and an error rate of 2.25% on SVHN with only 4000 examples, nearly matching the performance of the fully supervised model trained with all labeled examples. © 2021 IEEE.

关键词： computer vision

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Color and Defect Detection in Industry Automation for Real Time Intelligent Product Sorting

Color and Defect Detection in Industry Automation for Real T...

引用

Device Intelligence, Computing and Communication Technologies, (DICCT), international conference on

作者： Sujatha Rajkumar Shreyas Nirgude Ashwin Anil Kulkarni Sumathi G Hamid Abdi School of Electronics Engineering Vellore Institute of Technology Vellore India Science Engineering and Built Environment Deakin University Waurn Ponds campus Australia

ISBN: (数字)9798331543358

ISBN: (纸本)9798331543365

This paper presents a real-time object sorting system that classifies objects based on color and detects surface defects in an intelligent manner for multi-purpose application like autonomous vehicles, supply chain, robotics and so on. The proposed system uses state-of-the-art camera module to capture images of objects and processes them through computer vision to classify items based on color and defect status. The captured images are compared against a custom dataset of labeled samples to ensure accuracy. Based on performance metrics, the intelligent CNN algorithm demonstrates superior classification accuracy compared to RFC, especially in complex scenarios. The edge processor module controls sorting mechanism, where servos actuate to direct objects into designated bins based on classification results. The research work illustrates exploring the potential of machine learning algorithm in automated quality assurance, offering scalable, adaptable, and efficient solutions for industrial applications.

关键词： computer vision Machine learning algorithms Automation Accuracy Image color analysis Supply chains Real-time systems Surface treatment Sorting Defect detection

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Research on Time Delay Estimation control Strategy of HV Transmission Line Operating Robot

Research on Time Delay Estimation Control Strategy of HV Tra...

引用

Consumer Electronics and computer Engineering (ICCECE), 2021 IEEE international conference on

作者： Boyu Xu Xiyi Guo Yuping Rao Guoxin Zhang Zhiyong Deng Meizhou Power Supply Bureau of Guangdong Power Grid Co. LTD Meizhou China

Due to the complex working environment of live robot, it is necessary to tighten the bolt and replace the shock hammer with the robot arm. Therefore, it is very important to design the trajectory tracking control strategy of the manipulator with high performance. In this paper, a terminal sliding mode control strategy based on time delay estimation is proposed by combining the delay estimation strategy with the terminal sliding mode control method. In this strategy, time delay estimation method is used to estimate and compensate the uncertainty in the system to offset its influence. At the same time, terminal sliding mode control is used to realize trajectory tracking. By introducing nonlinear terms, a fast terminal sliding mode surface function is designed to reduce the time required for the system state to converge to the equilibrium point. This method has faster convergence speed and higher tracer precision, which can better complete the live work task of the robot.

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A more accurate mask detection algorithm based on Nao robot platform and YOLOv7

A more accurate mask detection algorithm based on Nao robot ...

引用

Power Electronics, computer Applications (ICPECA), IEEE international conference on

作者： Xuehu Duan Haonan Chen Haitong Lou Lingyun Bi Yuechong Zhang Haiying Liu School of Information and Automation Engineering Qilu University of Technology (Shandong Academy of Sciences) Jinan China

With the global outbreak of Corona Virus Disease 2019(COVID-19), many countries had made it mandatory for people to wear masks in public places. This paper proposed a novel mask detection algorithm RMPC (Restructing the Maxpool layer and the Convolution layer)-YOLOv7 based on YOLOv7 for detecting whether people wear masks in public places. The RMPC-YOLOv7 algorithm reconstructed the downsampling structure in the original YOLOv7 algorithm. We changed the stacking of the maxpooling layer and the convolutional layer. This enabled the feature information to be fully integrated to achieve the accuracy improvement of the new model. Through comparison experiments, our proposed RMPC-YOLOv7 had was improved 0.9% and 1.2% for mAP0.5 and mAP0.5:0.95, respectively. The experimental results demonstrated the feasibility of RMPC-YOLOv7.

关键词： computer vision Convolution Computational modeling Stacking Object detection computer applications Power electronics

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Developing an Immersive Virtual Reality Interface for Urban Digital Twins: Integrating CAVE and HMD Systems for Enhanced Urban Analysis 23

Developing an Immersive Virtual Reality Interface for Urban ...

引用

23rd RoEduNet conference: Networking in Education and Research, RoEduNet 2024

作者： Bunea, Andrei Alexandru Dobre, Ciprian Mihai POLITEHNICA Bucharest National University of Science and Technology Department of Computer Science Bucharest Romania

ISBN: (纸本)9798331540388

Understanding and managing the complexities of urban environments poses significant challenges due to dynamic changes in population, climate, traffic, and infrastructure. Building solutions to tackle the challenges that cities face is a complex task, as scientists and engineers need to understand the impact of their project and anticipate any weaknesses or harmful side effects. The presented research leverages advances in Digital Twin and Virtual Reality (VR) technologies to provide a powerful tool for scientists and engineers to analyze, understand, and address urban problems in a controlled virtual setup. The research focuses on creating an immersive presentation interface for a digital copy of an urban surface, pursuing two main research directions. First, scientific literature reviews and experiments were conducted to analyze methods for capturing, storing, modifying, and rendering realistic virtual cities. Second, we present details on implementing an immersive VR environment using both Cave Automatic Virtual Environment (CAVE) and Head-Mounted Displays (HMDs) setups to render digital twins of cities. Using these two virtual reality techniques, our research aims to create the foundation to simulate realistic scenarios inside virtual urban areas, enhancing user immersion through precise 3D replication and realistic projections. The implementation of our presented work will facilitate better decision-making in areas such as pollution management, infrastructure development, traffic control, and disaster response as the research progresses. © 2024 IEEE.

关键词： Virtual environments

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Comprehensive Analysis of Fruit Detection, Ripeness Assessment, and Mass Estimation Using YOLOv7, ResNet, and ViT Models

Comprehensive Analysis of Fruit Detection, Ripeness Assessme...

引用

Electrical Engineering, Big Data and Algorithms (EEBDA), IEEE international conference on

作者： Zhihan Guo Minqi Liu College of Computer and Information Science School of Software Southwest University Chongqing China College of Oceanic and Atmospheric Sciences Ocean University of China Qingdao China

China became the world's largest apple producer, accounting for over 50% of the global planting area and output. The increasing urbanization has led to a decline in agricultural workers and higher labor costs, prompting the inevitable trend of employing picking robots for apple harvesting, supported by the widespread use of computer vision technology in agricultural automation. This paper employs a comprehensive approach using YOLOv7, ResNet, and ViT models for fruit detection, ripeness assessment, and quality estimation. Initially, the YOLOv7 model processes input images to generate detection boxes identifying apples and further quantifies the number of apples in each image. Subsequently, based on the detection boxes from the YOLOv7 model, color analysis is performed to calculate fruit ripeness, presenting the results in the form of a histogram for a more intuitive understanding of ripeness distribution. Next, by calculating the red pixel area of identified apples, the study estimates fruit quality and presents the results as a histogram, illustrating the distribution of fruits of varying quality. Finally, the ResNet and ViT models are used for image classification, comparing their accuracy on a validation set to evaluate their performance differences in fruit image classification tasks. This integrated process provides a comprehensive and accurate analysis for fruit detection and assessment, offering robust support for subsequent research in fruit quality analysis and classification.

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Noise acquisition system of underwater propulsion device based on LabVIEW 3

Noise acquisition system of underwater propulsion device bas...

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3rd international conference on Intelligent control, Measurement and Signal Processing and Intelligent Oil Field, ICMSP 2021

作者： Li, Zhou-Li Li, Fei-Xiang Tian, Fu-Bin Liang, Yu-Jia Xi'An Shiyou University Measurement Control Instrument Lab Xi'an China

ISBN: (纸本)9781665437158

In order to improve the performance of underwater vehicle, the noise produced by underwater vehicle is studied. In this design, PXIe-6366 data acquisition module and computer are used as the main hardware. By mastering the application technology of virtual instrument, a noise data acquisition system with the functions of configuration, acquisition and data playback is designed. At the same time, the login module and user management module are designed to ensure the security and standardization of the system. © 2021 IEEE.

关键词： Data acquisition

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Detection and Identification of Digital Display Meter of Distribution Cabinet Based on YOLOv5 Algorithm 3rd

Detection and Identification of Digital Display Meter of Dis...

引用

3rd international conference on Neural Computing for Advanced Applications, NCAA 2022

作者： Zhou, Yanfei Zhang, Yunchu Wang, Chao Sun, Shaohan Wang, Jimin Shandong Jianzhu University Jinan250101 China Shandong Key Laboratory of Intelligent Buildings Technology Jinan250101 China

ISBN: (纸本)9789811961410

Aiming at the problem of low recognition accuracy of digital display meter readings when the inspection robot performs inspection tasks, a YOLOv5-based digital display meter detection and recognition algorithm for distribution cabinets is proposed. For the digital display meter image captured by the inspection robot spherical camera, the YOLOv5 model is used to locate the target character area. After scale normalization, image correction, filtering and noise removal and other image pre-processing operations, the character recognition is completed in combination with the traditional machine vision algorithm, and the reading results are automatically output. For the characteristics of digital tube characters, the threading method, support vector machine algorithm and PaddleOCR algorithm are used for comparison, and a suitable algorithm model is selected to recognize numeric, alphabetic and decimal point characters. The experimental results show that the accuracy of detecting and identifying digital display meters using the YOLOv5 model and PaddleOCR algorithm is 95.3%. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： computer vision

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