The proceedings contain 24 papers. The topics discussed include: autonomous floating garbage collection device using computervision and robotics;coordinated optimization of scheduling and path planning for delivery r...
ISBN:
(纸本)9798400718304
The proceedings contain 24 papers. The topics discussed include: autonomous floating garbage collection device using computervision and robotics;coordinated optimization of scheduling and path planning for delivery robots in intelligent manufacturing workshops;a preliminary study of the stressed and drowsy driving prediction models using semi-supervised learning;axial capacity prediction of concrete externally strengthened by low-cost natural fiber reinforced polymer composite utilizing machine learning intelligence;enhancing brain tumor diagnosis: a cutting-edge ensemble deep learning approach;a comparative study of sentiment analysis on twitter and reddit using deep learning techniques;generative artificial intelligence for future education: current research status, hot spots, and research trends;methodological considerations for anonymizing tabular data using generative adversarial networks;and data migration in large scale storage systems with varying file sizes.
The proceedings contains 60 papers from the Proceedings of SPIE: intelligentrobots and computervisionxx: algorithms, techniques, and active vision. Topics discussed include: feature reduction methods for hyperspect...
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The proceedings contains 60 papers from the Proceedings of SPIE: intelligentrobots and computervisionxx: algorithms, techniques, and active vision. Topics discussed include: feature reduction methods for hyperspectral data;Bayesian object matching based on MCMC sampling and Gabor filters;Omnivision-based autonomous mobile robotic platform and case study of rotating sonar sensor application in unmanned automated guided vehicle.
The proceedings contains 53 papers from the SPIE conference on intelligentrobots and computervision XVII: algorithms, techniques, and active vision. Topics discussed include: planetary rovers for long-range Mars sci...
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The proceedings contains 53 papers from the SPIE conference on intelligentrobots and computervision XVII: algorithms, techniques, and active vision. Topics discussed include: planetary rovers for long-range Mars science and sample return;pose estimation;geometric and orthogonal moments;Shen-Castan and Canny-Deriche filters;Bayesian neural network learning;robot guidance;face recognition;wireless video monitoring and robot control;image processing for intelligent robotics;robot path planning, guidance and control;color computervision;3D visualization for intelligent robotics;active robotic vision;and image segmentation in computervision.
The conference materials contain 71 papers. The main topics covered include pattern recognition in computervision;locating edges, lines curves, and surfaces in robotic vision;segmentation, motion, and color technique...
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ISBN:
(纸本)0819410268
The conference materials contain 71 papers. The main topics covered include pattern recognition in computervision;locating edges, lines curves, and surfaces in robotic vision;segmentation, motion, and color techniques;morphological processing for intelligent robotics;sensory robotics and control: vision, collision avoidance, path planning;visual servoing in automated manufacturing;and activevision.
This conference proceedings contain 70 papers. Topics covered include:Pattern recognition in intelligent robotics;activevision and control;Color image processing;Systems and applications;Robotic navigation, path plan...
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ISBN:
(纸本)0819419524
This conference proceedings contain 70 papers. Topics covered include:Pattern recognition in intelligent robotics;activevision and control;Color image processing;Systems and applications;Robotic navigation, path planning, and use of motion and image sequences;3D modeling and data processing for robotics and machine vision;Three dimensional pattern recognition for intelligentrobots;Neural nets for pattern recognition and machine vision;Feature extraction;and;Detection and segmentation in machine vision.
The paper discusses the problem of creating an autonomous SCARA robot that can precisely carry out pick-and-place operations in unstructured settings. The suggested method combines computervision and deep learning al...
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ISBN:
(数字)9798331527549
ISBN:
(纸本)9798331527556
The paper discusses the problem of creating an autonomous SCARA robot that can precisely carry out pick-and-place operations in unstructured settings. The suggested method combines computervision and deep learning algorithms to provide accurate 6D pose estimation and reliable object detection. Combining YOLOv8 for object detection, hand-eye calibration for precise transformation to robot coordinates, and Principal Component Analysis (PCA) for orientation estimation within the generated point cloud, a novel method for estimating object pose is presented. Monocular depth estimation techniques are used to extract depth information from RGB images to create point clouds. The results demonstrate the potential of combining advanced algorithms with user-friendly design for robotics automation, showing notable gains in pose estimation accuracy and task execution efficiency.
Greenhouse vertical rack hydroponic systems offer a sustainable and efficient solution for meeting the increasing global food demand. This paper introduces an IoT-integrated automated system designed to perform labor ...
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Greenhouse vertical rack hydroponic systems offer a sustainable and efficient solution for meeting the increasing global food demand. This paper introduces an IoT-integrated automated system designed to perform labor ...
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ISBN:
(数字)9798331521950
ISBN:
(纸本)9798331521967
Greenhouse vertical rack hydroponic systems offer a sustainable and efficient solution for meeting the increasing global food demand. This paper introduces an IoT-integrated automated system designed to perform labor intensive and repetitive tasks in hydroponic farming. The proposed system integrates a robotic platform for transplanting and inspecting plants, as well as an intelligent controller to control and monitor greenhouse conditions and nutrient solution parameters. To enhance performance and accessibility, the system is integrated with an IoT platform, which includes a user-friendly web interface, enabling remote monitoring and control. Key features such as computervision techniques and advanced control algorithms are implemented to maximize operational efficiency. Experimental results validate its ability to reduce labor, improve productivity, and ensure consistent crop quality. This solution highlights the potential for scalable and sustainable advancements in modern agriculture.
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