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Proceedings of the 20th International Conference on industrial Electronics, control.and Instrumentation. Part 1 (of 3)

The proceedings contains 138 papers. Topics discussed include robotics, computer vision, sensors, mechanical variables control. robotic applications, motion control. mobile robots, computer software, automation, paral... 详细信息

关键词： control.systems

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The design of an automatic vision switching system

The design of an automatic vision switching system

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作者： Chunsheng Feng Montana State University

学位级别：硕士

The importance of robotics has been recognized by the manufacturing industry. The introduction of Computer vision has greatly increased the versatility and application domain of robots such as the interaction between the robot and its changing environment. From previously developed vision position correction methods and currently used visual servo-feedback techniques, computer vision systems present many possibilities in improving the quality and productivity of an industrial product. But computer vision systems also have limits in dealing with some robotic tasks such as Storage Battery Cap Installation. Random geometric distortion exists, which results from the characteristics of battery material or from the positioning error of fixtures. robotic teaching-playback method can not guarantee the assembly precision when deviation happens. A vision system introduced into the robotic system allows it to respond to an uncertain environment. Conventional vision correction methods only drive robots to the final position without considering robotic trajectory control. They reduce the robotic operation speed compared with stable conditions. Visual servo-feedback techniques can generate the optimal path and assembly precision, but the calculation of visual servo control.algorithm is time consuming. It also reduces robotic execution time. In addition, random assembly tasks sometimes do not need vision correction. So the justification of this robotic vision system is improved robotic assembly accuracy that does not affect other robot performance. In this thesis a new robotic vision control.system, Automatic vision Switching System (AVSS), was designed. It was derived from the concept of Just-in-Timeand dealt with the installation of storage battery caps. It demonstrated a vision system that functions to correct just when it is needed. Image processing techniques for solving the battery hole's centroid values were included in AVSS design. The experiment was carried out based on a

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Feature Selection for a Real-Time vision-Based Food Inspection System

Feature Selection for a Real-Time Vision-Based Food Inspecti...

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IEEE International Workshop on robotic and Sensors Environment

作者： Chetima, Mai Moussa Payeur, Pierre Univ Ottawa Sch Informat Technol & Engn Ottawa ON K1N 6N5 Canada

ISBN: (纸本)9781424425945

In a world where automation of processes is more and more on demand, machine vision is continuously, explored to address several industrial problems such as quality inspection. In the processed-food industry where the external quality attributes of the product are inspected visually before the packaging line, machine vision systems often involve the extraction of a larger number of features than those actually needed to ensure proper quality control. This work experiments with several feature selection techniques in order to reduce the number of attributes analyzed by a real-time vision-based food inspection system, Four filter-based and wrapper-based feature selectors are evaluated on seeded buns and tortillas datasets. Experimental results show that consistency-based and the RELIEF subset evaluation techniques perform the best for all the considered datasets in terms of accuracy However, variations in the number of attributes selected still vary significantly between these techniques.

关键词： Machine vision food inspection feature selection machine learning

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DEVELOPMENT OF AN INTELLIGENT SENSOR-BASED industrial robotic SYSTEM.

DEVELOPMENT OF AN INTELLIGENT SENSOR-BASED INDUSTRIAL ROBOTI...

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Proceedings - International Workshop on industrial Automation systems: Seiken Symposium.

作者： Yung, H.C. Allen, C.R. Finch, J.W. Harris, A.J. Adams, A.E. Farsi, M. Univ of Newcastle Upon Tyne Engl Univ of Newcastle Upon Tyne Engl

An overview is presented of the research and development aspect of a major project on intelligent sensor-based robot systems. A description is given of the results on tactile sensing using: a force-optical technique, integration of such a sensor into a gripper finger, video rate stereo-vision processing, VLSI implementation of novel vision architectures, an inference imaging device using the SHADOW technique, and highly adaptive self-tuned control.

关键词： ROBOTS, industrial

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Implementation of two cameras to robotic cell for recognition of components

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11th International Conference on industrial, Service and Humanoid robotics (ROBTEP 2012)

作者： Sukop, Marek Tech Univ Kosice Fac Mech Engn Dept Prod Syst & Robot Kosic 04200 Slovakia

ISBN: (纸本)9783037856031

This paper describes the proposal and implementation of two camera sensor system used in combination with SCARA robot for sorting process control. Theoretical basics of 3D camera sensor evaluation and options for mutual camera placement are included. The paper is focused on sensor system components selection and implementation specifics for particular robotic system as well. Sensor system uses OMRON vision Mate control.er for basic image recognition and PC for resulting data processing of specific points three dimensional position calculation.

关键词： Sorting process 3D camera systems SCARA

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vision-based Crop Row Detection System for UAV-Based Weed Detection in Arboriculture

Vision-based Crop Row Detection System for UAV-Based Weed De...

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Optical Technology and Measurement for industrial Applications Conference 2023

作者： Hussmann, Stephan Clausen, Kevin Harders, Leif Ole Faculty of Engineering West Coast University of Applied Sciences Fntz-Thiedemann-Ring 20. Heide25746 Germany

ISBN: (纸本)9781510663411

Due to legal changes, the use of agents for soil disinfection in arboriculture is severely limited. For this reason, tree nurseries must look for new ways in which weed control.can be earned out on seed beds in the future. In cooperation with the local Chamber of Agriculture we want to explore the use of Unmanned Aerial Vehicles (UAVs) for the autonomous weed detection and weed management in arboriculture to develop an innovative approach for weed control. UAVs are selected becauseofthe disadvantage of ground-based robotic systems m agriculture which is the limitation of their usability in wet soils, as most robotic systems get stuck and are no longer manoeuvrable. Climate change is causmg these weather conditions to occur more frequently. This paper evaluates early research results of a vision-based crop row detection system for UAV-based weed detection in arboriculture in regards to overall detection performance, real-time capability, weight, size and power-consumption. 2023 SPIE.

关键词： Weed control

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DEVELOPMENT OF AN INTELLIGENT SENSOR-BASED industrial robotic SYSTEM.

DEVELOPMENT OF AN INTELLIGENT SENSOR-BASED INDUSTRIAL ROBOTI...

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Proceedings - International Workshop on industrial Applications of Machine vision and Machine Intelligence, Seiken Symposium

作者： Yung, H.C. Allen, C.R. Finch, J.W. Harris, A.J. Adams, A.E. Farsi, M.

The authors present an overview of the research and development being carried as part of a major project on intelligent sensor-based robot systems. Results are reported on tactile sensing using a force-optical technique, the integration of such a sensor into a gripper finger, video-rate stereo vision processing, VLSI implementation of a novel vision architecture, inference imaging device using SHADOW technique, and highly adaptive self-tuned control. The system ultimately will incorporate twin-camera-head stereo vision, range finding, and intelligent tactile processing.

关键词： ARTIFICIAL INTELLIGENCE

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Enhancing hybrid manufacturing with AI-driven real-time adaptive process control. integrating machine learning models and robotic systems

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INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 2024年 1-9页

作者： Swathi, Baswaraju Polyakov, Sergei Vladimirovich Kandavalli, Sumanth Ratna. Singh, Dinesh Kumar Murthy, Mantripragada Yaswanth Bhanu Gopi, Adapa New Horizon Coll Engn Dept Comp Sci & Engn Data Sci Bengaluru India Plekhanov Russian Univ Econ Moscow Russia Leonov Moscow Reg Univ Technol Korolev Russia NYU MetroTech Ctr 6 Tandon Sch Engn Dept Mech Engn Brooklyn NY USA Dr Shakuntala Misra Natl Rehabil Univ Dept Informat Technol Lucknow Uttar Pradesh India Vasireddy Venkatadri Inst Technol Guntur 522508 AP India Koneru Lakshmaiah Educ Fdn Dept Comp Sci & Engn Green Fields Vaddeswaram 522302 Andhra Pradesh India

The potential of additive methods to integrate with machine learning (ML) models in hybrid manufacturing is significant in developing closed-loop processes for intelligent and adaptive control. This study presents a framework to defect mitigation that leverages a hybrid deep convolutional neural network (CNN) architecture with laser powder bed fusion additive systems. It connects on-site optical vision and sensor streams to identify process abnormalities and report real-time remedial actions. The hybrid CNN automatically connects reported anomalies to the physical actuation where quality issues might occur in a closed-loop fashion. This enables self-learning and autonomous corner-cutting while offering a pathway to new applications in digital manufacturing, such as surface finish optimisation and shape adaptation within a single build. In a case study, we demonstrate that our framework enables inspection and control.at a level never seen before, as demonstrated by its precision in product inspection with an F-score of 93.8% and its ability to adjust control.at a frequency exceeding 10 Hz. This work not only enables new learning paradigms for the development of real-time control.systems for hybrid manufacturing, but also accelerates the process of AI-driven intelligent manufacturing by equipping industrial production systems with intelligence, flexibility and resilience. Our technique for tight coupling of process signals and actuation is a significant technical breakthrough in this critical pathway.

关键词： Hybrid manufacturing Convolutional neural networks Real-time control Adaptive process control Machine learning Deep learning

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Real-time VLSI techniques for processing of computer images 19

Real-time VLSI techniques for processing of computer images

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Conference on Applications of Digital Image Processing XIX

作者： Farroha, BS Deshmukh, RG Florida Institute of Technology (United States)

ISBN: (纸本)0819422355

The domain of industrial automation has been of heightened interest since the introduction of robotic vision in the work place. The system discussed in this abstract is designed to be utilized in the areas of machine and robotic vision for the industrial field. It can serve as an inspection or location finding device for real-time closed loop automated systems, The performance advantage of this system is gained through the use of a massively parallel architecture. The system is built on a VLSI wafer, where the concept of a full application specific system is fabricated on a chip. These design techniques take advantage of massive parallel hardware at the lower stages of image processing whereby increasing the performance of this stage can significantly improve the total throughput of the system. The design procedure is based on custom ASIC hardware that is optimized for the task at hand. Additionally, the elements have been designed in a modular and reusable manner. The processing of system data is accomplished primarily, by parallel hardware units, with firmware assigned the responsibility of configuring and defining the task. This system incorporates the design theorems of image processing with the fundamentals of high speed architectures. This design technique, in conjunction with parallel processing principles, will overcome the current time limitations that have been persistent in the current approaches. The system is designed with three functional layers, each composed of parallel architectures and local control. A main control.system is also present to monitor overall system functionality and issue queuing commands for the processes, in a non-blocking manner. The proposed system theory and design will be presented with the VLSI layout, simulation and modeling with the CADENCE design environment. Test results and prototype examples are used to determine the success of the system and test it's limitations.

关键词： VLSI architecture image processing robotic vision massive parallel processing real-time imaging

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A distributed system for robotic multi-sensor integration

Industrial Metrology

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industrial Metrology 1990年第3期1卷 217-229页

作者： de Almeida, A.T. Nunes, U.C. Dias, J.M. Araújo, H.J. Batista, J. Electrical Engineering Department University of Coimbra 3000 Coimbra Portugal

The development of multi-sensor based flexible assembly cells will increase substantially the scope of applications of manipulators in industry. This paper is concerned with the development of a multi-sensor assembly cell which can be used to evaluate the feasibility of automatic assembly of different products. The cell is built around a manipulator with six degrees of freedom, a conveyor belt and an assembly table. The sensorial system of the cell comprises a real-time vision system, gripper force, ultrasonic sensing and various detectors on the conveyor belt and assembly table. A simple and high-performance distributed control.structure enables the exchange and integration of sensorial information as well as real-time path control. © 1990 Elsevier Science Publishers B.V.

关键词： Distributed multi-sensors flexible assembly cells parallel processing ultrasonic sensing vision systems

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