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YOLO-Based Defect Detection for Metal Sheets

YOLO-Based Defect Detection for Metal Sheets

引用

IEEE international Workshop on Imaging Systems and Techniques (IST)

作者： Po-Heng Chou Chun-Chi Wang Wei-Lung Mao Research Center for Information Technology Innovation (CITI) Academia Sinica (AS) Taipei Taiwan Department of Electrical Engineering Graduate School of Engineering Science and Technology National Yunlin University of Science and Technology (NYUST) Yunlin Taiwan

ISBN: (数字)9798350378214

ISBN: (纸本)9798350378221

In this paper, we propose a YOLO-based deep learning (DL) model for automatic defect detection to solve time-consuming and labor-intensive in industrial manufacturing. In our experiments, the images of metal sheets are used as the dataset for training the YOLO model to detect the defects on surfaces and in holes of metal sheets. However, the lack of metal sheet images significantly degrades the performance of detection accuracy. To address this issue, the ConSinGAN is used to generate a considerable amount of data. Four versions of the YOLO model (i.e., YOLOv3, v4, v7, and v9) are combined with the ConSinGAN for data augmentation. The proposed YOLOv9 model with ConSinGAN outperforms the other YOLO models with an accuracy of 91.3%, and a detection time of 146 ms. The proposed YOLOv9 model is integrated into manufacturing hardware and a supervisory control and data acquisition (SCADA) to establish a practical automated optical inspection (AOI) system. Additionally, the proposed automated defect detection is easily applied to other components in industrial manufacturing.

关键词： YOLO Training Accuracy Three-dimensional displays Metals Optical imaging Hardware Data models Manufacturing Defect detection

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automatic Detection and Reduction of Compensation in Stroke Patients During Robotic Rehabilitation

Automatic Detection and Reduction of Compensation in Stroke ...

引用

international conference on control, Decision and Information Technologies (CoDIT)

作者： Siqi Cai Longhan Xie Department of Electrical and Computer Engineering National University of Singapore Singapore School of Intelligent Engineering South China University of Technology Guangzhou China

Rehabilitation robots offer promising clinical benefits, however, a critical concern is whether patients can perform exercises correctly without therapist guidance. Patients with stroke, in particular, often resort to compensatory movements without supervision, leading to less-than-optimal outcomes. To address this issue, our work aims to detect and minimize the use of compensation during robotic rehabilitation. Specifically, we developed an artificial neural network (ANN) that uses pressure distribution data to detect compensatory motions. Furthermore, a rehabilitation robot provided real-time force feedback to stroke patients to reduce trunk compensation when necessary. Our experiment involved 8 stroke patients and 12 healthy individuals who completed reaching tasks using an upper limb rehabilitation robot. Results demonstrated the effectiveness of our approach in both offline and online compensation detection. Moreover, we observed a significant reduction in trunk compensation among stroke patients. This study provides a promising solution for unsupervised robotic rehabilitation for stroke patients, paving the way for improved rehabilitation outcomes.

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Computer-Aided Detection of Atrial Fibrillation Episodes from Electrocardiogram Signals Using Variational Mode Decomposition

Computer-Aided Detection of Atrial Fibrillation Episodes fro...

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international conference on Contemporary computing and Informatics (IC3I)

作者： Deepak Parashar Kanhaiya Sharma Computer Science & Engineering Department Symbiosis Institute of Technology Symbiosis International University Pune Maharashtra India

Atrial Fibrillation (AF) is defined as a heart beating irregularly. It may increase the risk of stroke and sometimes results in heart failure. Lately, the number of patients with AF episodes has increased exponentially worldwide. Early detection is the only way to reduce and control its effect. However, it is crucial to detect AF in the early stages in most patients who do not show any significant symptoms in the early stage. Many recent studies have shown ways to identify early symptoms based on the signature present in the recording of the electrocardiogram. Usually, the signature is present in terms of either frequency domain or time-frequency domain characteristics. None of the studies have shown classification using features from each domain and described the specific behavior of each feature relating to the characteristic of AF. In this work, a rigorous collection of features from each domain is calculated and analyzed for the automatic detection of AF patterns using variational mode decomposition. High-frequency decomposed components have been used for further processing. The dataset from the MIT-BIH repository has been utilized to measure the robustness of the introduced approach. We obtained the highest accuracy of 98.67% on the MIT-BIH database. Obtained indicators show that the proposed method outperformed latest approaches.

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Design of Pulse Measuring Instrument 11th

Design of Pulse Measuring Instrument

引用

11th international conference on Frontier computing, FC 2021

作者： Jia, Dongfang Liu, Zhicong An, Fanglin School of Computer Science and Cyberspace Security Hainan University Haikou China

ISBN: (纸本)9789811680519

New coronary pneumonia has attracted attention to telemedicine technology. It is a scientific research trend to develop an instrument that allows people to test their health. With the advent of the 5G era, the information rate is getting faster and faster, prompting the rise of some telemedicine industries. Because of the non-contact diagnosis, it provides people with a lot of convenience and protects people from the impact of new coronary pneumonia, it is safe and reliable. The technical field of the Telemedicine System relates to a telemedicine system, and particularly to a system with improved operability, suitable for home health monitoring. With the rapid development of science and technology, it is very important to study a set of equipment that can objectively detect pulse. The new coronary pneumonia has made the society aware of the vacancies in telemedicine technology, and the introduction of digital pulse diagnosis technology is non-contact, convenient and fast. The pulse measuring instrument is composed of a main control chip, a collection module, a signal module, an alarm module, and a display module;Compared with other types of designs, it has a simple, efficient, real-time display, and practical pulse test system, and has its own characteristics in terms of practicability and ease of operation. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： 5G mobile communication systems

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A Colored Petri Net Tool for the Design of Robotic Palletizing Cells

A Colored Petri Net Tool for the Design of Robotic Palletizi...

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international conference on control, Decision and Information Technologies (CoDIT)

作者： Graziana Cavone Silvia Stella Paolo Scarabaggio Raffaele Carli Stefano Lisi Achille Claudio Garavelli Mariagrazia Dotoli Department of Civil Computer Science and Aeronautical Technologies Engineering University Roma Tre Italy Department of Mechanics Mathematics and Management Polytechnic of Bari Italy Department of Electrical and Information Engineering Polytechnic of Bari Italy

Driven by the digital transformation required by Logistics 4.0, the use of automation in warehouses is constantly growing. In particular, robotic palletizers offer significant potential for optimizing warehouse operations, thanks to higher flexibility and throughput than traditional palletizing systems. Despite the availability of several solutions in the market, the optimal deployment of a robotic palletizer in warehouses is not straightforward: a design phase is needed to determine the most convenient configuration that ensures automatic palletizing is fully integrated into the warehouse processes. In this paper, we propose a simulation-based versatile tool for modeling and analysis purposes, aimed at supporting the design of a robotic palletizing cell in a bottom-up fashion. As a core methodology, we employ timed colored Petri nets, which allow - once the analysis on packing requirements and constraints is conducted - to rapidly model the system as a composition of basic subsystems, and implement alternative simulations to evaluate the corresponding performance and effectively benchmark the alternative configurations. The proposed approach is applied to a real case study, showing its effectiveness in identifying the solution that achieves a good compromise between the use of resources and the performance of warehouse operations.

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A haptic device-based reproduction system of active finger movement and its evaluation using sensory evoked potentials

A haptic device-based reproduction system of active finger m...

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Biomedical engineering international conference (BMEiCON)

作者： Yusuke Ozawa Natsue Yoshimura Kazumasa Uehara Kazuhiko Seki School of Engineering Tokyo Institute of Technology Yokohama Japan School of Computing Tokyo Institute of Technology Yokohama Japan Department of Computer Science and Engineering Toyohashi University of Technology Toyohashi Japan Department of Neurophysiology National Center of Neurology and Psychiatry Kodaira Japan

To develop an experimental system that could be used for physiological experiments on voluntary finger movements in humans, we developed an experimental system that can realize passive finger movements by reproducing recorded users' own active movement trajectories using a haptic device called SPIDAR-GCC. The efficacy of the system was verified through high agreement of the finger trajectories between active and passive movements and no muscle activations during the passive movements. We further confirmed that high signal-to-noise ratio sensory evoked potentials (SEPs) derived from median nerve stimulation of the wrist was observed by electrical stimulation exceeding motor threshold without muscle fatigue throughout the experiment. As N20/P25 component of SEPs from 20 participants showed amplitude changes according to the movement conditions, these results suggested that the proposed experimental system has the capability to be utilized as a physiological experimental system for elucidating the neural control mechanisms of voluntary movements.

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ChatGPT-guided Semantics for Zero-shot Learning

ChatGPT-guided Semantics for Zero-shot Learning

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Proceedings of the Digital Image computing: Technqiues and Applications (DICTA)

作者： Fahimul Hoque Shubho Townim Faisal Chowdhury Ali Cheraghian Morteza Saberi Nabeel Mohammed Shafin Rahman Dept. of Electrical and Computer Engineering North South University Bangladesh Australian Institute for Machine Learning University of Adelaide Australia Data61 Commonwealth Scientific and Industrial Research Organisation Australia School of Computer Science and DSI University of Technology Sydney Australia

Zero-shot learning (ZSL) aims to classify objects that are not observed or seen during training. It relies on class semantic description to transfer knowledge from the seen classes to the unseen classes. Existing methods of obtaining class semantics include manual attributes or automatic word vectors from language models (like word2vec). We know attribute annotation is costly, whereas automatic word vectors are relatively noisy. To address this problem, we explore how ChatGPT, a large language model, can enhance class semantics for ZSL tasks. ChatGPT can be a helpful source to obtain text descriptions for each class containing related attributes and semantics. We use the word2vec model to get a word vector using the texts from ChatGPT. Then, we enrich word vectors by combining the word embeddings from class names and descriptions generated by ChatGPT. More specifically, we leverage ChatGPT to provide extra supervision for the class description, eventually benefiting ZSL models. We evaluate our approach on various 2D image (CUB and AwA) and 3D point cloud (ModelNet10, ModelNet40, and ScanObjectNN) datasets and show that it improves ZSL performance. Our work contributes to the ZSL literature by applying ChatGPT for class semantics enhancement and proposing a novel word vector fusion method.

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Automated Water Quality Monitoring System for Aquaponic Pond using LoRa TTGO SX1276 and Cayenne Platform 4

Automated Water Quality Monitoring System for Aquaponic Pond...

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4th IEEE international conference of Computer science and Information Technology, ICOSNIKOM 2022

作者： Silalahi, Alfriska Oktarina Sinambela, Amsal Pardosi, Jekson T.N. Panggabean, Hans Mawito Institut Teknologi Del Department of Informatics and Electrical Engineering Toba Samosir Indonesia

ISBN: (纸本)9798350399073

Freshwater aquaculture inland areas with a densely stocked fish pond system requires higher pond maintenance. Two factors support the success of aquaculture in densely stocked freshwater fish ponds, namely the feeding system that must be appropriate and scheduled and the water quality in the pool must be in good condition. However, the problem that often arises is the quality of pool water that is not properly monitored and requires a large amount of money if it has to use human power. This certainly affects the productivity of fish yields. In this study, a smart automation system was designed and implemented to perform water quality control in aquaponics ponds. The method that was used is controlling the oxygen content of the pond water through an aerator pump and controlling the ammonia level of the pond water by utilizing ammonia reduction by pakcoy plants in aquaponic system ponds. This system is accessed through the Cayenne website and the microcontroller used is LoRa TTGO SX1276 and the mechanical feed ejection system uses a 12 Volt DC motor. The test results showed that the use of an aquaponic system with 40 netpots of pakcoy vegetables gave a significant reduction of ammonia in aquaponic plants of 4.94 ppm in one day. From the results of testing the entire system, it can be concluded that this automatic system can help optimize the process of freshwater aquaculture. © 2022 IEEE.

关键词： Water quality

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Design and Validation of SR Motor for Direct Drive In-Wheel using Ansys Simplorer 6

Design and Validation of SR Motor for Direct Drive In-Wheel ...

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6th IEEE international conference on computing, Communication and Automation, ICCCA 2021

作者： Singh, Vipin Kumar Sharma, Utkarsh Singh, Bhim Indian Institute of Technology Delhi Dept. of Electrical Engineering New Delhi110016 India

ISBN: (纸本)9781665414739

This paper presents the mechanical and electrical prospects for the motor design for an e-scooter. In the starting, the Indian duty cycle (IDC) is used for the mechanical load analysis for 2-wheeler. After analyzing the required power rating of the motor, a design methodology is explained. A 4 phase 8/6 pole SR motor is designed for the e-scooter. The peak torque required is nearly 30 Nm at starting on hill climbing and the power required is around 1000 W. On flat road, the required power is very low as compared to hill climbing or accelerating from starting conditions. The rated speed for urban e-scooter is taken as 23 kmph and the power required at this is nearly 200W. The motor is designed and then FEA analysis is used for the static and dynamic performances of the motor. The hysteresis control is implemented by co-simulation of Maxwell 2D with Ansys Simplorer. The designed motor is analyzed at 23 kmph speed and the efficiency is more than 90% with nearly 3Nm torque. © 2021 IEEE.

关键词： Finite element method

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Navigation On Mobile computing Devices with A Walking Using Object-Oriented Techniques to Communicate Stick

Navigation On Mobile Computing Devices with A Walking Using ...

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Communication, control and Intelligent Systems (CCIS)

作者： Ramesh Prabhakaran R Guhan P E George Dharma Prakash Raj Karthika K Angel Maanu P Department of Computer Engineering Mizoram University Mizoram India Department of Electrical and Electronical Engineering Panimalar Engineering College Chennai India School of Computer Science and Engineering Bharathidasan University Trichy India Department of Information Technology Karpagam College of Engineering Coimbatore India Department of Computer Science and Engineering Panimalar Engineering College Chennai India

ISBN: (数字)9798331528201

ISBN: (纸本)9798331528218

Moving around in their surroundings is challenging for elderly people and people with visual impairments. The majority of functional sticks in use today are not intelligent and lack an innate ability to recognize obstacles. In an effort to address this issue, mobility and orientation specialists who assist the blind by teaching them to move freely and safely using their remaining senses are brought in. They can navigate around obstacles with the aid of guidance dogs as well. These techniques have drawbacks, such as the dogs' inability to comprehend complicated instructions, the high cost of maintaining these trained dogs, and the need to hire an expert. In light of the aforementioned difficulties, the "Smart walking stick" has become a potential answer. The "Mobile based walking stick" is a useful mobility aid with the capacity to call a relative who can help in the event of an accident, detect obstacles above ground level and pits using ultrasonic sensors, recognize when a collision has occurred, and call the user's mobile phone if it has been misplaced to share the location's GPS for use with GSM connectivity and to share with the user's mention contacts. With some visually disabled people as test subjects, a test case was run, and 95% of the time it was successful.

关键词： Legged locomotion GSM Navigation Visual impairment Dogs People with disabilities Acoustics Sensor systems Intelligent sensors Global Positioning System

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