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共 18111 条记录，以下是241-250 订阅

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Development and application of virtual synchronization system for live working robots based on binocular vision

Development and application of virtual synchronization syste...

引用

2023 international conference on Algorithm, Imaging processing, and Machine vision, AIPMV 2023

作者： Yan, JunHui Shen, JianFang Guangzhou Engineering Contractor Group CO. LTD Guangdong Guangzhou510310 China School of Computer Science and Technology Guangdong University of Technology Guangdong Guangzhou510006 China

ISBN: (纸本)9781510672444

In order to ensure the power supply reliability of the power system, most of the power line maintenance operations use live work to complete wire breaking, wiring, replacement of fall insurance and other work. The distribution network live working robot can keep the operator away from the dangerous environment, ensure the safety of personnel, reduce the labor intensity of the operator, improve the work efficiency of live working, and has a broad application prospect. In order to work safety, more and more power technicians use the way of teleoperation robot arm to carry out live work. In this paper, a virtual reality synchronization system combined with binocular cameras is proposed. By reconstructing the live working environment in the virtual scene and combining with the remote operation mode of the mechanical arm, the system provides a new working mode for the electric power operators, so that they are no longer limited by the field of vision, and thus can complete the live working task more flexibly. © 2024 SPIE.

关键词： robots

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1-D SPATIAL ATTENTION IN BINARIZED CONVOLUTIONAL NEURAL NETWORKS 49

1-D SPATIAL ATTENTION IN BINARIZED CONVOLUTIONAL NEURAL NETW...

引用

49th IEEE international conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Kim, HyunJin Shin, Jungwoo Kim, Wansoo Del Barrio, Alberto A. Dankook Univ Sch EEE Yongin South Korea LINE Plus Corp VOOM AI LAB Seongnam South Korea Univ Complutense Madrid Dept Comp Architecture & Syst Eng Madrid ES Spain

ISBN: (纸本)9798350344868;9798350344851

This paper proposes a structure called SPBNet for enhancing binarized convolutional neural networks (BCNNs) using a low-cost 1-D spatial attention structure. Attention blocks can compensate for the performance drop in BCNNs. However, the hardware overhead of complex attention blocks can be a significant burden in BCNNs. The proposed attention block consists of low-cost 1-D height-wise and width-wise 1-D convolutions, It has the attention bias to adjust the effects of attended features in x0.5 - x1.5. In experiments, the proposed block used in ResNet18-based BCNNs improves Top-1 accuracy up to 2.7% over a baseline ReActNet on the CIFAR-100 dataset. Notably, without using teacher-student training, the proposed structure can show comparable performance as the baseline ReActNetA using teacher-student training.

关键词： Binarized Convolutional Neural Networks Computer vision Image Classification Self-Attention

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Recognition and tracking of moving objects in robot cloud environment 4

Recognition and tracking of moving objects in robot cloud en...

引用

4th international conference on Machine Learning and Computer Application, ICMLCA 2023

作者： Zhang, Xu Lu, Jun Shi, Lin Cao, Yuan Chengdu University of Information Technology Chengdu China

ISBN: (数字)9781510680265

ISBN: (纸本)9781510680258

To reduce the cost of tracking moving targets by robots and enhance the accuracy of target recognition and tracking, a vision-based tracking robot is designed. The onboard camera captures image data, which is initially processed by the ESP32. After processing, the data is transmitted to a cloud environment via a WiFi module. In the cloud environment, a Siamese neural network algorithm is employed to analyze and process the images, and then it sends motion control commands back to the robot, enabling remote control. © 2024 SPIE.

关键词： Optical flows

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DFIG Imbalance rotor fault diagnosis using signal processing tools 10

DFIG Imbalance rotor fault diagnosis using signal processing...

引用

10th international conference on Control, Decision and Information Technologies (CoDIT)

作者： Channouf, Mohamed Salah Touti, Walid Bacha, Khmais Univ Tunis Higher Natl Engn Sch Tunis ENSIT Lab Ind Syst Engn & Renewable Energy LISIER 5 Ave Taha Hussein5 BP 56 Tunis 1008 Tunisia

ISBN: (纸本)9798350373981;9798350373974

Induction generator is the subject of various electrical and mechanical fault that involve the wind turbine reliability. As a few papers studied the electrical imbalanced rotor fault in the wound rotor induction generator, we present a MCSA technique result for rotor electrical imbalance fault using Blackman windows with show its improvement for spectral accuracy. As well as the application of signal processing methods such as FFT, EMD and RLMD, in the context of fault diagnosis and highlighting the effect of rotor imbalance on the operation of dfig.

关键词： WRIG FFT EMD RLMD Rotor electrical fault Wind turbine MCSA Blackman window

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Real-Time FPGA Implementation of the Semi-global Matching Stereo vision Algorithm for a 4K/UHD Video Stream 16th

Real-Time FPGA Implementation of the Semi-global Matching St...

引用

16th international Workshop on Design and Architecture for signal and Image processing (DASIP) held jointly with the 18th HiPEAC conference

作者： Grabowski, Mariusz Kryjak, Tomasz AGH Univ Sci & Technol Dept Automat Control & Robot Comp Vis Lab Embedded Vis Syst Grp Krakow Poland

ISBN: (纸本)9783031299698;9783031299704

In this paper, we propose a real-time FPGA implementation of the Semi-Global Matching (SGM) stereo vision algorithm. The designed module supports a 4K/Ultra HD (3840 x 2160 pixels @ 30 frames per second) video stream in a 4 pixel per clock (ppc) format and a 64-pixel disparity range. The baseline SGM implementation had to be modified to process pixels in the 4ppc format and meet the timing constrains, however, our version provides results comparable to the original design. The solution has been positively evaluated on the Xilinx VC707 development board with a Virtex-7 FPGA device.

关键词： SGM FPGA 4K Ultra HD real-time processing stereo vision

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How Late is too Late? A Preliminary Event-based Latency Evaluation 8

How Late is too Late? A Preliminary Event-based Latency Eval...

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8th international conference on Event-Based Control, Communication and signal processing (EBCCSP)

作者： Gava, Luna Monforte, Marco Bartolozzi, Chiara Glover, Arren Ist Italiano Tecnol Event Driven Percept Robot Genoa Italy

ISBN: (数字)9781665453493

ISBN: (纸本)9781665453493

For a robot to compete at the game of air-hockey requires the ability to track the fast-moving puck, and fast reaction of its control system. Event-cameras can be used to solve the visual tracking task in order to overcome problems of motion blur and/or high processing requirements that come from when using traditional RGB cameras. Each pixel of an event-camera responds independently to change in light, resulting in a high frequency, low-latency update of the puck position. A vision-in-the-loop robot control can then maintain stability with much faster movements. In this paper, we introduce the control loop for an iCub robot to follow the position of the puck with its head motion. We evaluate the accuracy and stability of the iCub motion as the latency of the tracked position is varied from 1 ms to 30 ms, achievable in real-time with the event-camera, eventually resulting in control failure. We conclude that the event-driven tracking paradigm is an enabling technology for unlocking smooth dynamic robot motions from vision, also for tasks beyond air-hockey.

关键词： event-camera iCub visual tracking robot control air-hockey

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MGRQ: POST-TRAINING QUANTIZATION FOR vision TRANSFORMER WITH MIXED GRANULARITY RECONSTRUCTION 31

MGRQ: POST-TRAINING QUANTIZATION FOR VISION TRANSFORMER WITH...

引用

2024 international conference on Image processing

作者： Yang, Lianwei Li, Zhikai Xiao, Junrui Gong, Haisong Gu, Qingyi Chinese Acad Sci Inst Automat Beijing Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing Peoples R China

ISBN: (纸本)9798350349405;9798350349399

Post-training quantization (PTQ) efficiently compresses vision models, but unfortunately, it accompanies a certain degree of accuracy degradation. Reconstruction methods aim to enhance model performance by narrowing the gap between the quantized model and the full-precision model, often yielding promising results. However, efforts to significantly improve the performance of PTQ through reconstruction in the vision Transformer (ViT) have shown limited efficacy. In this paper, we conduct a thorough analysis of the reasons for this limited effectiveness and propose MGRQ (Mixed Granularity Reconstruction Quantization) as a solution to address this issue. Unlike previous reconstruction schemes, MGRQ introduces a mixed granularity reconstruction approach. Specifically, MGRQ enhances the performance of PTQ by introducing Extra-Block Global Supervision and Intra-Block Local Supervision, building upon Optimized Block-wise Reconstruction. Extra-Block Global Supervision considers the relationship between block outputs and the model's output, aiding block-wise reconstruction through global supervision. Meanwhile, Intra-Block Local Supervision reduces generalization errors by aligning the distribution of outputs at each layer within a block. Subsequently, MGRQ is further optimized for reconstruction through Mixed Granularity Loss Fusion. Extensive experiments conducted on various ViT models illustrate the effectiveness of MGRQ. Notably, MGRQ demonstrates robust performance in low-bit quantization, thereby enhancing the practicality of the quantized model.

关键词： Post-Training Quantization vision Transformer Mixed Granularity Reconstruction Optimization

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Empirical Analysis of Individual Differences Based on Sentiment Estimation Performance Toward Speaker Adaptation for Social signal processing 16th

Empirical Analysis of Individual Differences Based on Sentim...

引用

16th international conference on Social Computing and Social Media (SCSM) Held as Part of the 26th international conference on Human-Computer Interaction (HCII)

作者： Li, Sixia Okada, Shogo Japan Adv Inst Sci & Technol Grad Sch Adv Sci & Technol Nomi Ishikawa Japan

ISBN: (纸本)9783031612800;9783031612817

Understanding user's internal state is indispensable for human-robot interaction in social signal processing. To mitigate the bias of sentiments observed by third-party annotators, the importance of self-reported by users themselves was pointed out recently. However, the self-reported internal state is not displayed as similar multimodal behaviors among different individuals, this leads to performance gap between self-reported and third-party sentiment estimations. Speaker adaptation for social signal processing (SASSP) is necessary to learn individual social signal characteristics to mitigate the individual differences. Towards effective adaptation for speakers with different characteristics, clarifying influence of individual differences in internal state estimation is necessary but has not been clarified. To address this problem, this study conducted empirical analysis by training and testing models on multimodal data of a group of speakers. Then, we analyze the relationships between the best model's performance and speaker's characteristics including age, gender, personalities, and speaker's expectation before human-robot interaction experiment. The results showed that these aspects all have influence on estimation performance in SASSP due to expression differences. This study provides suggestions and directions on setting SASSP policies for self-reported internal state estimation.

关键词： Sentiment estimation speaker adaptation for social signal processing machine learning

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Research on cheese variety recognition system based on machine vision

Research on cheese variety recognition system based on machi...

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2024 international conference on Image, signal processing, and Pattern Recognition, ISPP 2024

作者： Cheng, Yuanqun Deng, Chenggang College of Mechanical and Automotive Engineering Zhejiang University of Water Resources and Electric Power Hangzhou310018 China

ISBN: (纸本)9781510680425

In order to meet the intelligent and automatic requirements of spinning factories, this paper proposes a design scheme of online package identification system based on machine vision in No.1 middle school, and systematically expounds the overall design *** on the completion of hardware selection and construction, the visionMaster algorithm platform is used to realize the functions of image acquisition, recognition, classification, statistics and information feedback under machine vision, and complete the automatic identification of cheese *** the same time, the user interface is designed to make the whole system meet the industrial requirements of simple operation, real-time feedback and accurate identification. © 2024 SPIE.

关键词： Machine vision

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Research on Sorting System of Industrial robot Based on Machine vision

Research on Sorting System of Industrial Robot Based on Mach...

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2024 international conference on Power, Electrical Engineering, Electronics and Control, PEEEC 2024

作者： Luo, Yuntian Southwest Jiaotong University Chengdu China

ISBN: (纸本)9798350378917

In the process of material sorting, the traditional manual sorting method is not only inefficient, but also has huge security risks. Affected by the types, shapes, quality and other factors of different materials, its sorting method also has some limitations. In order to solve the above problems, a material sorting system based on industrial robot is proposed in this paper. The hardware part of the sorting system mainly comprises an industrial camera, an industrial computer for processing image data, a control system, a robot control cabinet, an industrial robot, a frequency converter, a driving device and an executing mechanism. The software part of the sorting system includes a main module, a motion control module, a data communication module and an intelligent sorting module. This paper takes metal workpieces as the sorting object, and compares manual sorting with sorting system sorting. The results show that the designed sorting system can complete the sorting tasks of different sizes of metal workpieces in a short time, and the sorting efficiency and error rate are far lower than those of manual sorting. The industrial robot sorting system based on machine vision designed in this paper improves the industrial production efficiency and reduces the working cost. © 2024 IEEE.

关键词： Industrial robots

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