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Physical Distancing System Using Computer Vision 3

Physical Distancing System Using Computer Vision

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3rd international conference on Cybernetics and Intelligent System (ICORIS)

作者： Kartikawati, Lili Nabawi, Isnan Rahayu, Vita Kusrini Ariatmanto, Dhani Ernawan, Ferda Univ AMIKOM Yogyakarta Master Informat Engn Yogyakarta Indonesia Univ Malaysia Pahang Fac Comp Coll Comp & Appl Sci Pahang Indonesia

ISBN: (纸本)9781665425803

The regulation of social distancing in standing queues such as queues at ATMs and queues for ordering fast food is very important to apply during COVID-19 pandemic. The system can control the discipline of keeping a distance which can reduce the rate of transmission of the Covid 19 virus. The system is expected to be able to handle supervision and regulation of the application of physical distancing by involving hardware input in the form of a camera, which will provide the condition of standing queue in the form of images to be processed to produce output information, the number of objects in the standing queue, the distance between objects and the x, y coordinates of the object in the standing queue. The final result of the Physical Distancing Warning System is able to maximize the distance control in standing queues such as queues at ATMs and queues for ordering fast food. Based on tests carried out able to detect human objects and calculate the distance between them. Tests to obtain the validity of system performance are carried out by varying the minimum threshold value. The best performance results are obtained at the minimum threshold value of 40 where the system error is 22.75%. The output of the computer vision process that is sent to the microcontroller as a command to the lights, servo and laser has been fully worked (100%) with the correctness of the response completely controlled by the processing results in the computer vision section.

关键词： Physical distancing computer vision and robotics

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Human Robot Interaction: Identifying Resembling Emotions Using Dynamic Body Gestures of Robot

Human Robot Interaction: Identifying Resembling Emotions Usi...

引用

Artificial Intelligence (ICAI), international conference on

作者： Sara Ali Faisal Mehmood Khawaja Fahad Iqbal Yasar Ayaz Muhammad Sajid Muhammad Baber Sial Muhammad Faiq Malik Kashif Javed Department of Robotics and Artificial Intelligence Human Robot Interaction Lab (SINES) Intelligent Field Robotics Lab (NCAI) National University of Sciences and Technology H-12 Islamabad Pakistan Department of Robotics and Artificial Intelligence National University of Sciences and Technology H-12 Islamabad Pakistan School of Automation Science and Electrical Engineering Beihang University Beijing China

Natural social interaction between a human and robot requires perception ability of robot for complex social behaviors and in turn displaying the learnt emotional behavior during interaction. The emotions expressed with body language are one of the key parameters during Human-Robot Interaction (HRI). This research focuses on extending the concept of affective non-verbal human-robot interaction using full body gestures for closely resembling emotion in absence of intricate facial expressions. The movements of head, torso, legs, and arms are used to link body movements and gestures of a bi-pedal humanoid robot with 28 closely resembling emotions. Variation of speed, frequency, and joint angles of the robot are the key features used for expressing a specific emotion. This research uses Russell's circumplex model to define 8 primary emotional categories which are further grouped into closely associated emotions resembling each other. 33 participants were involved in experimentation to authenticate different emotions using body gestures of robot. Each participant performed 28 trials in which emotions were displayed at random to recognize the state of robot. The results showed an average accuracy of 79.69%. The study authenticates that perceived emotions are highly dependent on body movements, postures, and selected features. This design model can therefore be used for even conveying the closely resembling emotions.

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A Novel Framework for Autonomous Landing of the Quadrotor on the Moving Platform by Onboard Vision Sensors 3

A Novel Framework for Autonomous Landing of the Quadrotor on...

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3rd international conference on Industrial Artificial Intelligence, IAI 2021

作者： Cao, Qianqian Yu, Hai Fang, Yongchun Liang, Xiao Tianjin Key Laboratory of Intelligent Robotics Nankai University Institute of Robotics and Automatic Information System College of Artificial Intelligence Tianjin China

ISBN: (纸本)9781665435178

This paper addresses the autonomous landing of a quadrotor equipped with sensors and an on-board computer on a moving platform. An autonomous landing framework is proposed, including modules of target detection, state estimation, trajectory planning and tracking control. Specifically, the target detection module utilizes an on-board camera to recognize targets with Apriltags, owing to the high efficiency and accuracy. The state estimation module combines the detected target information and the measurements from the on-board sensors to estimate the absolute motion state of the quadrotor and the platform at the current moment, but also predicts the platform state at the target moment. A dynamically feasible and non-conservative trajectory is generated by the trajectory planning module based on the state estimation. According to the results of the trajectory planning and the state estimation modules, the tracking control module issues control commands to make the quadrotor track the trajectory efficiently. Simulation tests are conducted to validate the feasibility and effectiveness of the proposed framework. © 2021 IEEE.

关键词： State estimation

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Artificial Intelligence in Diabetes Management in Last Two Decades: A Bibliometric Analysis on Web of Science 3

Artificial Intelligence in Diabetes Management in Last Two D...

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3rd international conference on Intelligent Computing, Communication and Convergence, ICI3C 2023

作者： Ji, Yaya Zhu, Zhu Zheng, Yujia Wu, Huiqun Medical School of Nantong University Department of Medical Informatics Nantong China

ISBN: (纸本)9798350343922

Objectives: To conduct a bibliometric analysis to analyze the landscape of artificial intelligence(AI) in diabetes management in the past two ***: The literatures on AI in diabetes management during 2003 to 2021 were respectively retrieved from Web of Science database. CiteSpace software was applied to perform analysis of frequency distribution and co-occurrence of sub-keyword terms, frequency distribution analysis of reference citations, and analysis of burst detection methods for keyword terms and cited references, in order to create a knowledge map to reveal diabetes management hotspots and cutting-edge directions.(p/)(p)Results: A total of 1,242 articles on diabetes AI managements were retrieved. The results showed that the number of papers increased year by year, and the number of papers published was the largest in 2019-2021, suggesting that in the field of diabetes management, digital technology was widely adopted in the daily management of diabetes and was conducive in early screening for diabetes complications. In the field of AI in diabetes, various machine learning models including latest deep learning have been proposed and investigated. In the literatures on diabetes digital interventions, the keywords with higher frequency were management, intervention, diabetes, care and blood sugar control. Comparatively, the keywords with the highest frequency in diabetes AI are machine learning, management, diabetes, systems and ***: Publication outputs of the application of AI in DM management have been rising over last two decades. Some hotspots such as mobile medicine, telemedicine, deep learning, and digital therepeutics are of great significance for future research. © 2023 IEEE.

关键词： Diseases

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ConvoWaste: An Automatic Waste Segregation Machine Using Deep Learning

ConvoWaste: An Automatic Waste Segregation Machine Using Dee...

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international conference on robotics,Electrical and Signal Processing Techniques (ICREST)

作者： Md. Shahariar Nafiz Shuvra Smaran Das Md. Kishor Morol Abdullah Al Juabir Dip Nandi Department of Electrical and Electronic Engineering American International University-Bangladesh (AIUB) Department of Computer Science American International University-Bangladesh (AIUB)

Nowadays, proper urban waste management is one the biggest concerns for maintaining a green and clean environment. An automatic waste segregation system can be a viable solution to improve the sustainability of the country and to boost up the circular economy. This paper proposes a machine to segregate the waste into the different parts with the help of smart object detection algorithm using ConvoWaste in the field of Deep Convolutional Neural Network (DCNN), and image processing technique. In this paper, the deep learning and image processing techniques are applied to classify the waste precisely and the detected waste is placed inside the corresponding bins with the help of a servo motor-based system. This machine has the provision to notify the responsible authority regarding the waste level of the bins and the time to trash out the bins filled with garbage by using the ultrasonic sensors placed in each bin and the dual-band GSM-based communication technology. The entire system is controlled remotely through an android app in order to dump the separated waste in a desired place by its automation properties. The use of this system can aid the process of recycling resources that were initially destined to become waste, utilizing natural resources and turning these resources back into the usable products. Thus, the system helps to fulfill the criteria of circular economy through the resource optimization and extraction. Finally, the system is made to provide the services at a low cost with higher accuracy level in terms of the technological advancement in the field of Artificial Intelligence (AI). We have got 98% accuracy for our ConvoWaste deep learning model.

关键词： Deep learning Waste management Training Image processing Signal processing algorithms Signal processing Turning

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Rotational Symmetric Circular Split-Ring with Inductive Tail-Shaped Microwave Metamaterial Absorber for Aeronautical Radionavigation Applications

Rotational Symmetric Circular Split-Ring with Inductive Tail...

引用

robotics, automation, Artificial-intelligence and Internet-of-Things (RAAICON), 2019 IEEE international conference on

作者： Shubho Ray Chowdhury Apurba Ray Chowdhury Tafhimul Islam Safayat Hossain Nazifa Maimuna Md Mohsin Khan School of Mechanical Aerospace and Manufacturing Engineering University of Connecticut Connecticut USA Department of Electronic and Telecommunication Engineering International Islamic University Chittagong (IIUC) Chattogram Bangladesh Department of Industrial & Production Engineering American International University-Bangladesh

ISBN: (数字)9798331534400

ISBN: (纸本)9798331534417

In this paper, a rotational symmetric, circular split-ring with an inductive tail-shaped microwave metamaterial absorber was proposed at resonance frequencies of 9.63 GHz, 11.14 GHz, 13.25 GHz, and 15.48 GHz for Aeronautical Radionavigation Applications. It shows an efficient result having single negative (SNG) metamaterial properties and subwavelength properties with maximum absorptions of 99.9%. The proposed design presented a significant improvement in absorption in broad incident angle polarization compared to other relative works. Moreover, the size of the proposed absorber is smaller than that of other works, which provides a good effective medium ratio (EMR) and can be easily placed in electronic devices, mainly in sensors. It is insensitive at wide co- and cross-polarizing angles of incident EM waves because it can absorb EM waves falling at different angles, i.e., 0 to 180 degrees, which benefited the absorber to apply it in other fields as well, like in Biomedical (Hyperthermia), Radar, Satellite (Ku Band), Defense and EMI/EMC reduction, polarization detectors, etc. We also analyzed the absorption with a proper RLC circuit designed on the basis of the surface current while showing absorption in each particular frequency. Further, this research can be expanded in the direction of beamforming with the integration of pin diode into the patch of the metamaterial absorber.

关键词： Absorption Array signal processing Surface waves Spaceborne radar Satellite broadcasting RLC circuits Robot sensing systems Metamaterials Sensors Microwave metamaterials

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Influence of Cross-Section Geometrical Parameters on the Structures Characteristics Protecting in Differential and Common Modes

Influence of Cross-Section Geometrical Parameters on the Str...

引用

informatics, Electronics, and Radio Engineering (PIERE), international conference Problems of

作者： Alexandr M. Lakoza Valerii P. Kosteletskii Evgeniya B. Chernikova Dept. of Microwave and Quantum Radio Engineering Tomsk State University of Control Systems and Radioelectronics Tomsk Russian Federation

ISBN: (数字)9798331516321

ISBN: (纸本)9798331516338

The paper presents an analysis of the influence of the geometrical parameters of the cross-section on the characteristics of protection devices operating in differential and common modes. A protection device is defined as a structure comprising 6- and 8-conductor structures with inhomogeneous dielectric filling, connected in such a way that protection is provided in two modes. The study presents the dependencies of attenuation coefficients in differential and common modes, per-unit-delay delays and time intervals between decomposition pulses on parameter variations. It was found that the combined thickness of the dielectric substrate and the width of the conductors has the greatest influence on the attenuation coefficients in differential and common modes. Furthermore, the dielectric thickness has a significant impact on the time intervals and per-unit-length delays. The analysis of the obtained data enabled the key parameters of the investigated cross-sections and their ranges to be determined, which will inform further optimization.

关键词： Performance evaluation Conductors Attenuation Nonhomogeneous media Filling Delays Object recognition Protection informatics Optimization

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An Elliptical Tangent Graph Method Based on Multi-source Information for UAV Path Planning 3rd

An Elliptical Tangent Graph Method Based on Multi-source Inf...

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3rd international conference on Autonomous Unmanned Systems, ICAUS 2023

作者： Liu, Bin Tang, Qirong Huang, Wentao Jiang, Qingchao Fan, Qinqin Logistics Research Center Shanghai Maritime University Shanghai201306 China Laboratory of Robotics and Multibody System Tongji University Shanghai201804 China Key Laboratory of Control of Power Transmission and Conversion Ministry of Education of China Shanghai200240 China Key Laboratory of Smart Manufacturing in Energy Chemical Ministry of Education East China University of Science and Technology Shanghai200237 China

ISBN: (纸本)9789819711062

Path planning is one of important tasks for unmanned aerial vehicles (UAVs) to achieve autonomous flight. Moreover, the solution efficiency and solution accuracy are usually two conflicting objectives in UAV path planning problem, especially for complex static environments. To alleviate the above issue, an elliptical tangent graph method based on multi-source information (ETG-MI) is proposed in the current study. In the proposed ETG-MI algorithm, the target guidance information is first used to generate candidate waypoints via elliptical tangent graph method, and then a novel heuristic rule is utilized to select promising waypoints. Additionally, a waypoint selection method is proposed to eliminate low-quality detour waypoints. Finally, the cubic B-spline curve method is used to smooth the final obtained path for meeting the actual flight requirements of UAV. The proposed algorithm is compared with four state-of-the-art path planning methods under different scenarios. The experimental results demonstrate that the proposed ETG-MI is capable of finding an optimal feasible path for different environments with various types of obstacles. Moreover, the proposed algorithm performs better than other competitors in simple maze-like environments. © Beijing HIWING Scientific and Technological Information Institute 2024.

关键词： Motion planning

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Improving Robotic Arms Through Natural Language Processing, Computer Vision, and Edge Computing

Improving Robotic Arms Through Natural Language Processing, ...

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Mechatronics, control and robotics (ICMCR), international conference on

作者： Pascal Sikorski Kaleb Yu Lucy Billadeau Flavio Esposito Hadi AliAkbarpour Madi Babaias Undergraduate Research Assistant Computer Science Department Saint Louis University Saint Louis USA Undergraduate Research Assistant Aerospace & Mechanical Engineering Department Saint Louis University Saint Louis USA Associate Professor Computer Science Department Saint Louis University Saint Louis USA Assistant Professor Computer Science Department Saint Louis University Saint Louis USA CBL Assistant Professor of Robotics Aerospace & Mechanical Engineering Department Saint Louis University Saint Louis USA

ISBN: (数字)9798331544546

ISBN: (纸本)9798331544553

This paper introduces a prototype for a new approach to assistive robotics, integrating edge computing with Natural Language Processing (NLP) and computer vision to enhance the interaction between humans and robotic systems. Our proof of concept demonstrates the feasibility of using large language models (LLMs) and vision systems in tandem for interpreting and executing complex commands conveyed through natural language. This integration aims to improve the intuitiveness and accessibility of assistive robotic systems, making them more adaptable to the nuanced needs of users with disabilities. By leveraging the capabilities of edge computing, our system has the potential to minimize latency and support offline capability, enhancing the autonomy and responsiveness of assistive robots. Experimental results from our implementation on a robotic arm show promising outcomes in terms of accurate intent interpretation and object manipulation based on verbal commands. This research lays the groundwork for future developments in assistive robotics, focusing on creating highly responsive, user-centric systems that can significantly improve the quality of life for individuals with disabilities. For video demonstrations and source code, please refer to: https://***/EnhancedArmEdgeNLP.

关键词： Computer vision Mechatronics Source coding Machine vision Large language models Prototypes Focusing Manipulators Natural language processing Edge computing

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A Conceptual Framework Involving Barriers in the Integration of Additive Manufacturing with Industry 4.0 Practices 1

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3rd international conference on Intelligent Manufacturing and automation, ICIMA 2022

作者： Markose, Trupti Vasudevan, Hari SVKM‘S Dwarkadas J. Sanghvi College of Engineering Vile Parle Mumbai400056 India

ISBN: (数字)9789811979712

ISBN: (纸本)9789811979705

Industry 4.0 (I4.0) has drawn a lot of attention internationally over the past several years, because of its potential to boost the manufacturing sector’s sustainability and competitiveness in future. For example, additive manufacturing (AM), advanced robotics, AI and ML, big data analytics, cloud computing, smart sensors, Internet of things, and augmented reality are all examples of advanced technologies that are currently referred to collectively by the term "I4.0". Transitioning from the current centralized production processes and further toward digital and decentralized one, significantly increases flexibility, quality, productivity, cost, and customer satisfaction. Despite the potential advantages of I4.0, firms are still having trouble embracing new technologies and successfully integrating them into their business strategies. I4.0 is thought to have been significantly influenced by AM, and other cutting-edge technologies are now supporting AM’s productive operations in several industries. And therefore, integrating AM with I4.0 technologies is the need of the hour. Although technically feasible, a number of significant obstacles prevent its execution. Very few publications in the extant literature discuss the barriers in the readiness for the integration of AM and I4.0. In light of the above, this study makes an effort to pinpoint these obstacles and comprehend the impact they have on the advantages brought about by this integration. A literature analysis was done on AM and I4.0, covering the obstacles preventing their integration, in order to develop the conceptual framework, while also presenting the constructs chosen and hypotheses made toward attaining the integration. The study’s objective was to identify the obstacles that must be overcome for AM to successfully integrate with I4.0 technologies. According to the study, it is hypothesized that the barriers and organizational factors negatively moderate the benefits of the integration of AM with I4.0. ©

关键词： 3D printing

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