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检索条件"任意字段=International Conference on Advances in Science, Engineering and Robotics Technology"

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Text Extraction by Optical Character Recognition-Based on the Template Card

Text Extraction by Optical Character Recognition-Based on th...

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robotics, engineering, science, and technology (RESTCON), international conference on

作者： Panas Thongtaweechaikij Piyawat Tangpong Jiraphan Inthiam Watcharin Tangsuksant Department of Production and Robotics Engineering Faculty of Engineering King Mongkut’s University of Technology North Bangkok Thailand Department of Instrumentation and Electronics Engineering King Mongkut’s University of Technology North Bangkok Thailand

This study evaluates Optical Character Recognition's (OCR) effectiveness in extracting and organizing data from student cards. Assessing diverse OCR techniques, it aims to identify optimal methods for accurate text extraction, considering different formats and languages. The research investigates OCR's impact on information retrieval, analyzing its integration into databases for improved searchability and usability. Our proposed method presents the pre-processing with OCR process including the SIFT, KNN feature matching, MSER technique for noise detection and image transformation. For the experiment, all student cards in King Mongkut’s University of technology North Bangkok capturing by smartphone, which the resolution of camera is greater than 2 megapixel. This research compares the different technique between traditional tesseract OCR and our proposed method by setting 50% and 70% of Intersection over Union (IoU), The experiment result shows that our proposed method with 70% of IoU has the highest accuracy as 97.36%. According to the result, the proposed illustrate the feasible method for our system.

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IoT based Tracking System 14

IoT based Tracking System

引用

14th international conference on advances in Computing, Control, and Telecommunication Technologies, ACT 2023

作者： Vettath, Jayasree N. Sunil, Sandra K. Subramania, Anjana Athira, K. Akshaya, V.B. Menon, Hema P. Department of Computer Science and Engineering Sreepathy Institute of Management & Technology Vavanoor kootnad Kerala Palakkad India

This paper proposes the development of an IoT based system that monitors the health condition of a child and when it goes to an abnormal value, an alert will be sent to the parent’s mobile phone which includes the child’s location. The system includes an android application that monitors the physical condition of the kid by analyzing his pulse rate. The system comprises of an Arduino UNO, Heart rate sensor, GPS and GPRS modules, which will be embedded in to a wearable band. Such a system would be useful for parents to keep track of their wards in case of emergency situations. © Grenze Scientific Society, 2023.

关键词： Global positioning system

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Feedback Control of Cable-Driven Continuum Robot Based on Flexible Perception

Feedback Control of Cable-Driven Continuum Robot Based on Fl...

引用

2022 international conference on Mathematics, Modeling, and Computer science, MMCS 2022

作者： Qian, Shuwen Zheng, Tianjiang Shen, Wenjun Ningbo Institute of Materials Technology Engineering Chinese Academy of Sciences Ningbo China University of Chinese Academy of Sciences Beijing China Zhejiang Key Laboratory of Robotics and Intelligent Manufacturing Equipment Technology Ningbo China

ISBN: (纸本)9781510664593

Aiming at the problems of limited accuracy of model and poor position control precision caused by complex deformation of Cable-Driven Continuum Robot(CDCR), a shape sensing and feedback control approach for CDCR is proposed based on the elastic magnetoelectric strain sensor. Kinematic model of robot was established based on the product of exponential (POE) formula. Based on physical characteristics of the sensor, the shape sensing model of the robot was proposed and Qualisys Track System was used for calibration. A module prototype was built to verify the effect of the perceptual feedback control algorithm. The experiment proves that the flexible perception method used in this paper is universal and accurate, and provides a valuable framework for real-time sensing control. © 2023 SPIE.

关键词： Cables

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Analysis Of The Effects Of Different Electrical And Physical Parameters On Contact Resistance In Organic Thin Film Transistors And Optimization Using Machine Learning

Analysis Of The Effects Of Different Electrical And Physical...

引用

2023 international conference on Recent advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence, RAEEUCCI 2023

作者： Nirosha, R. Halder, Aishiki Upendran, Vaishnavi Agarwal, Rajesh Srm Institute of Science and Technology Department of Electronics and Communication Engineering Chennai India

ISBN: (纸本)9798350337426

Injection of charge carriers from the electrodes into the semiconductor layer is a crucial part of the operation in Organic Thin Film Transistors. OTFTs generally suffer from poor charge injection and so gaining an understanding of the contact resistance occurring at the electrode-semiconductor junction is a must. In this work, we test the effect of certain parameters, both physical and electrical, on the contact resistance of the device and design a machine-learning model to reduce the extraction time of the contact resistance and provide faster and easier predictions, given the parameters the contact resistance is being tested for. © 2023 IEEE.

关键词： Thin films

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Augmented Reality for Enhanced Surgical Precision: A Framework for Real-Time Visualization and Navigation 1

Augmented Reality for Enhanced Surgical Precision: A Framewo...

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1st international conference on advances in Computer science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Singh, Jagbir Vedula, Jagadeesh Ragothaman, Hariharan Muzaffar, Shojonov Yulduz, Urazbaeva Singh, Satendra Pratap India Digital Transformation Lead Meghaz Inc. HoustonTX United States Center of Urgench State University The Information Security department The Digital Education Technologies Uzbekistan Mamun university Pedagogy and psychology Department Khiva Uzbekistan Tula's Institute Department of Computer Science and Engineering Dehradun India

ISBN: (纸本)9798331518578

The advancement of Augmented reality (AR) technology has made it possible to use it in surgical precision and better the lives of patients. This paper outlines a real-time visualization and navigation framework where AR is integrated into surgical work. CT and MRI imaging data are used in the system to create accurate and rather detailed preoperative 3D anatomical models. These models are overlaid on the surgeon's vision, being the integral part of the system, providing the surgeon with dynamic constant assistance during procedures. To surmount the problem of misalignment of the virtual overlays with the patient's anatomy due to movements of the patient in the operating room, the framework uses complex tracking algorithms as well as machine learning techniques. It highlights planner pre-operative, intra-operative visualization and decision support mainly in complicated surgical cases. In the case of minimally invasive surgery, the framework was used to position the instruments correctly with improved accuracy, cutting short on time to operate, and countering complications. This research shows how AR can benefit today's surgery, as an origination of increased accuracy and a closing of the gap between conception and operations. It has also discussed some of the issues like scalability, cost, and the required training for the surgeon for the use of such system and has therefore provided a direction for the large-scale use of AR-assisted surgical systems. © 2025 IEEE.

关键词： Augmented reality

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Design of Data Visualization System for Industrial Internet Scenarios 2nd

Design of Data Visualization System for Industrial Internet ...

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2nd international conference on the Frontiers of robotics and Software engineering, FRSE 2024

作者： Yao, Yu Lei, Shangpeng Wang, Guangyu Al-Farabi Kazakh National University Almaty050040 Kazakhstan Shandong University of Science and Technology Jinan250031 China

ISBN: (纸本)9789819631605

As competition intensifies, traditional industry companies need to continuously improve competitiveness. The advancement of the new generation of information technology provides directions for enterprises. And the Industrial Internet is one of them, which has widely been used in information upgrades. Data visualization is an important direction for computer science, which can provide effective reference information for decision-makers. We designed a data visualization system for industrial Internet scenarios, to solve the data visualization problem of industrial Internet operation, which has 4 layer construction and 8 function modules. The system was verified by a laboratory with CNAS (China National Accreditation Service for Conformity Assessment) and conducted case practice in a Chinese enterprise located in Shandong province. The test results showed that the main functions of Data Visualization System for industrial Internet met the requirements, that the ATRT (Average Transaction Response Time) is less than 3 s and TPS (Transactions Per Second) is more than 1000 transactions/s. Therefore, the design of system proposed can be well applied in practice and provide a reference for the development of data visualization in the field of industrial Internet, which will be better to analyze data. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Competition

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Augmented Reality-Assisted Pediatric Surgery: A Machine Learning-Based Approach for Enhancing Accuracy 1

Augmented Reality-Assisted Pediatric Surgery: A Machine Lear...

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1st international conference on advances in Computer science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Bhardwaj, Sumedha Narla, Swapna Absur, Md Nurul Dutta, Shuvo Hyzil, J.B. Krishna Ganesh, S.M. DIT University Department of School of Computing Uttarakhand Dehradun India Tek Yantra Inc CA United States CUNY Graduate Center New YorkNY United States Western Michigan University Department of Physics United States Govt College for Women Affiliated to University of Kerala Department of Zoology Thiruvananthapuram India New Prince Shri Bhavani College of Engineering and Technology Department of Artificial Intelligence and Data Science Chennai India

ISBN: (纸本)9798331518578

Numerous advancements have been identified as potentially disruptive innovations in the surgical workplace as surgical workflow continues to improve in the digital age. The application of virtual reality (VR) and augmented reality (AR) within health care to enhance the use of data for medical reasons is unavoidable given their rapid expansion in availability, affordability, and accessibility. Using augmented reality may help paediatric orthopaedic and trauma surgeons overcome the difficult problem of comprehending the spatial linkages among the implants, anatomy, and their instruments. As needs be, the current examination proposes another AR of the surgical scene that deftly incorporates the various information sources given by a mobile C-arm and a Kinect RGB-depth sensor. This paper present a learning-based worldview to perceive the significant items or life structures in both Kinect and data of X-ray, and to produce an object unambiguous pixel-wise alpha guide that permits importance based combination of the X-ray pictures and the video inside a solitary view. We demonstrate very encouraging results in 10 simulated procedures with the goal of giving physicians a better grasp of the surgical environment and an enhanced perception. © 2025 IEEE.

关键词： Pediatrics

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A Support Vector Regression-Based Method for Stone Powder Detection in Machine-Made Sand 1

A Support Vector Regression-Based Method for Stone Powder De...

引用

1st international conference on Intelligent Transportation and Smart Cities, ICITSC 2024

作者： Shi, Faken Wang, Yingying Pei, Lili Geng, Fangyuan Xue, Ying Cccc Xi'an Road Construction Machinery CO. LTD. Shaanxi Xi'an China School of Information Engineering Chang'an University Shaanxi Xi'an China School of Data Science and Artificial Intelligence Chang'an University Shaanxi Xi'an China Gansu Highway Traffic Construction Group COL. Td Gansu Lanzhou China

ISBN: (纸本)9781643685205

Aiming at the problems of cumbersome steps, low accuracy and difficult to quantify in the detection method of stone powder content of machine-made sand, a quantitative stone powder detection method is proposed. Based on the image segmentation results, the stone powder attached to the sand surface and the scattered stone powder were calculated separately. Then, a support vector regression (SVM) model was used to obtain the mapping relationship between the two and the methylene blue value to quantify the total stone powder content of machine-made sand. The experimental results show that the obtained value of 0.9239 proves that there is a high correlation between the method and the methylene blue value, thus verifying the effectiveness of the method in quantifying stone powder. The stone powder detection method for machine-made sand proposed in this paper further realises the quantitative function of qualitative analysis, provides a new technical method for the quality detection process of machine-made sand, and also has important practical significance in the direction of the construction of the smart city. © 2024 The Authors.

关键词： Aromatic compounds

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Low-cost Smart Glasses for People with Visual Impairments 1

Low-cost Smart Glasses for People with Visual Impairments

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1st IEEE international conference on advances in Electronics, Communication, Computing and Intelligent Information Systems, ICAECIS 2023

作者： Nayana, B.R. Raju N R, Yogesh Velidi, Abhav S M S Ramaiah Univesrity of Applied Sciences Dept. of Computer Science Engineering Karnataka Bangalore India Sir M Visvesvaraya Institute of Technology Dept. of Electrical and Electronics Engineering Karnataka Bangalore India National Institute of Technology Dept. of Electronics and Commuincation Engineering Suratkal Karnataka India

ISBN: (纸本)9798350348057

An efficient visual aid is essential for visually impaired candidate. At the same instance it has to be simple, robust and cost effective. However, regardless of being expensive, it is challenging to incorporate high end artificial intelligence into a compact device to serve the purpose. This paper presents a prototype of low-cost smart glasses for visually impaired individuals. Also, a brief survey on the cost and features of the goggles available in the market are included. In this work a prototype is developed integrating Raspberry Pi module, camera, sensors and a goggles. The captured images are processed using object recognition models and its corresponding text is read aloud using google text to translator. Subsequently, a comparative analysis of object recognition model is explored and discussed. Essential experimental results are incorporated along with cost involved for the prototype development. © 2023 IEEE.

关键词： Object recognition

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Research on obstacle avoidance planning of soft robotic arm based on the idea of cutting-edge growth 2

Research on obstacle avoidance planning of soft robotic arm ...

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2nd international conference on robotics, Artificial Intelligence and Intelligent Control, RAIIC 2023

作者： Liu, Hongwei Jiang, Yang Liu, Manlu Zhang, Xinbin Southwest University of Science and Technology School of Information Engineering Mianyang621010 China Harbin Institute of Technology Laboratory for Space Environment and Physical Sciences Harbin150001 China

ISBN: (纸本)9798350328004

Soft-bodied robots have the advantages of high flexibility and multiple degrees of freedom and have promising applications in exploring complex unstructured environments. Kinematic coupling exists for the soft robot in a problematic space environment for motion planning between the soft robot arm segments. In solving the soft robot inverse kinematics, there are only solutions or even no solutions, and soft robot obstacle avoidance control is tough to exist, as other problems. In this paper, we use the segmental constant curvature assumption to derive the positive and negative kinematic relationships and design the tip self-growth algorithm to reduce the difficulty of solving the parameters in the inverse kinematics of the soft robot to avoid kinematic coupling. Finally, we combine the particle swarm algorithm to optimize the path so that the soft robot can move efficiently along the planned route in the complex terrain. The simulation results prove that the method can successfully move the soft robot in complex space with high computational efficiency and high accuracy, which verifies the research's effectiveness. © 2023 IEEE.

关键词： Inverse kinematics

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