scholarly journals Joint Inspection of HD Video and Robot in Substation Based on OCR Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Xiao Liao ◽  
Ke Xie ◽  
Zhen Qiu
Keyword(s):  
Recognition System ◽  
Inspection System ◽  
Video Information ◽  
Inspection Robot ◽  
Operation And Maintenance ◽  
Comprehensive Information ◽  
Interaction Interface ◽  
Resolution Model ◽  
Main Component ◽  
Frequency Domain Filtering

The research on the joint inspection technology of HD video and robot in substation is of great significance in the operation and maintenance management of substation. The related research on multidimensional collaborative inspection technology of substation has attracted great attention. The substation monitoring system is designed to realize multidimensional collaborative inspection of HD video and inspection robot. OCR technology is used to improve the abnormal recognition system of inspection robot equipment. According to the collection of video information, DSP comprehensive information processing is carried out, and the detection information is analyzed by frequency domain filtering method through human-computer interaction interface. Meanwhile, the main component features of substation detection components are extracted by pattern recognition method, and the resolution model of similar features of video monitoring images is constructed. It plays an important role in the daily operation and maintenance of substation to construct the reliability visual tracking and identification model and optimize the multidimensional cooperative inspection system model.

scholarly journals A Video Tracking System for the Registration of Upper Extremity Motions

2021 ◽  
pp. 23-32
Author(s):  
Ю.Г. Бурыкин
Keyword(s):  
Pattern Recognition ◽  
Upper Extremity ◽  
Focal Length ◽  
Tracking System ◽  
Video Camera ◽  
Recognition System ◽  
Medical Diagnostics ◽  
Human Motion ◽  
Video Tracking ◽  
Video Information

Автором рассмотрены основные способы регистрации движений верхней конечности человека с помощью различных технических средств, описаны недостатки системы видеоанализа и предложены альтернативные варианты решения ряда задач, направленных на уменьшение потери информации при видеорегистрации. Регистрация пальцевого тремора и движений пальцев осуществлялась посредством видеокамеры на основе системы распознавания образов, путем идентификации 5 меток (маркеров), сгенерированных с помощью свободной библиотеки ArUco. В результате оптимизации параметров маркеров, а также настройки углов обзора и фокусного расстояния удалось снизить ошибки при распознавании образов и повысить надежность регистрации движений фаланг пальцев с помощью видеокамеры. Использование калибровочных фотографий, полученных с экрана монитора, расположенного в различных плоскостях, позволило повысить точность регистрации движений. Информация о параметрах двигательной активности человека актуальна для объективной оценки его психофизиологического состояния и координационных способностей, а также медицинской диагностики. We considered the key methods for registering human upper extremity motions with various SW/HW tools, presented the drawbacks of video analysis systems, and proposed alternative solutions intended for reducing video information losses. We registered finger tremor/movement with a video camera and a pattern recognition system by identifying 5 markers generated with the AtUco open source library. By optimizing the marker properties, the view angles and the focal length we managed to reduce pattern recognition errors and improve phalanx movement video registration quality. Using reference photos taken from the monitor positioned at various angles also improved the motion registration quality. The human motion information is relevant to objectively assess the person’s psychophysiological status and physical coordination. It is also used for medical diagnostics.

Calibration and Registration for Inspection Robot with Contact Probe

2010 ◽  
Vol 97-101 ◽  
pp. 4319-4323
Author(s):  
Yu Qing Chen ◽  
Jin Huang ◽  
Hui Pu Xu ◽  
Zi Ma
Keyword(s):  
Constrained Optimization ◽  
Optimization Problem ◽  
Inspection System ◽  
Constrained Optimization Problem ◽  
Inspection Robot ◽  
Contact Probe ◽  
Sphere Radius ◽  
Parameter Separation ◽  
Inspection Robots ◽  
Nearest Points

This paper investigates the hand-eye calibration and points registration methods based on Cartesian coordinate’s transformation in armed robot inspection system. Different from traditional imaged based approach, the sphere radius of the inspection probe is considered; the hand-eye calibration and 3D points’ registration are both derived as constrained optimization problem. Matrix transformation of parameter separation is presented to get the approximate resolution. Finally, iterative cycles are provided to calculate the nearest points on designed surface corresponding to the inspection points. Experiment results illustrated the application of these ideas and demonstrated the validity of the proposed framework for inspection robots.

scholarly journals Complete Design and Finite Element Analysis of an all Terrain Vehicle

2012 ◽  
pp. 276-286
Author(s):  
Amrit Om Nayak ◽  
S. Kalaivanan ◽  
D. Manikandan ◽  
G. Ramkumar ◽  
T. Manoj ◽  
...  
Keyword(s):  
Low Cost ◽  
Cost Effective ◽  
International Standards ◽  
Element Analysis ◽  
Operation And Maintenance ◽  
Successful Design ◽  
Overall Performance ◽  
Function Diagram ◽  
Main Component ◽  
Almost All

We have tried to design an all terrain vehicle that meets international standards and is also cost effective at the same time. We have focused on every single system to improve the performance of each component. Our vehicle can navigate through almost all terrain, which ultimately is the objective behind the making of any all terrain vehicle. We began the task of designing by conducting extensive research of each main component of the vehicle. We did not want to design certain areas such as the frame, and then make the rest to fit. We considered each component to be significant, and thereby designed the vehicle as a whole trying to optimize each component while constantly considering how other components would be affected. This forced us to think outside the box, research more thoroughly, and redesign components along the way in order to have a successful design. We used the necessary parameters to create a Qualitative Function Diagram (QFD) to determine which parameters were the most critical. These key parameters ranging from most critical to least critical are safety, reliability, low cost, ease of operation and maintenance, and overall performance.

Chemical components of bleached eucalypt kraft pulp effluent COD and treatment removal efficiency during normal mill operation and maintenance shutdowns

2010 ◽  
Vol 62 (7) ◽  
pp. 1567-1573 ◽  
Author(s):  
C. L. S. Rodrigues ◽  
A. H. Mounteer ◽  
T. V. Stoppa ◽  
L. C. Dalvi
Keyword(s):  
Removal Efficiency ◽  
Kraft Pulp ◽  
Pulp Mill ◽  
Normal Operation ◽  
Chemical Components ◽  
Secondary Effluent ◽  
Operation And Maintenance ◽  
Mill Operation ◽  
Removal Efficiencies ◽  
Main Component

In order to meet increasingly strict Brazilian COD emissions limits, mills must understand the components that contribute to effluent COD, how these vary between normal mill operation and maintenance shutdowns, and how this variation affects treatment efficiency. To this end, primary and secondary effluents from a Brazilian bleached eucalypt kraft pulp mill activated sludge system were analyzed for COD, lignin, extractives, carbohydrates and AOX over a sixth month period that included two general maintenance shutdowns and four months of normal operation. Primary effluent presented significantly different compositions during periods of normal operation and mill shutdowns. During normal operation, the main components of effluent COD (909 mg/l average) were carbohydrates, followed by lignin. However, the lignin fraction was the main component of secondary effluent COD during both normal operation and mill shutdowns. Higher removal efficiencies for COD carbohydrates and AOX were observed during normal operation compared to shutdowns, while no difference in removal efficiencies of lignin and extractives was observed. Carbohydrate removal efficiency was significantly lower in one of the parallel treatment lines. The different removal efficiencies reflect not only variations in effluent composition, but possibly differences in system operational control which should be explored in greater detail

Development of a Robotic Boiler Header Inspection Device with Redundant Localization System

2014 ◽  
Vol 18 (3) ◽  
pp. 451-458 ◽  
Author(s):  
Nur Maisurah Hassan Basri ◽  
◽  
Khairul Salleh Mohamed Sahari ◽  
Adzly Anuar
Keyword(s):  
Visual Inspection ◽  
Thermal Power ◽  
Inspection System ◽  
Test Results ◽  
Site Testing ◽  
Localization System ◽  
Inspection Robot ◽  
Prototype Development ◽  
Main Challenge ◽  
Pipe Geometry

A pipe inspection robot, called a boiler header inspection robot (BHIR), is presented in this paper. The BHIR was designed specifically to inspect the inner surfaces of horizontal boiler header pipes in a thermal power plant in Malaysia that is owned by Tenaga Nasional Berhad (TNB). The main challenge was the geometry of a boiler header pipe: the entry diameter is significantly smaller than the diameter of the main pipe body. Currently, there are two versions of the BHIR: 1) the first version, BHIR-I, which was developed for use in manual inspections by carrying a borescope camera inside a boiler header pipe, and 2) the second version, BHIR-II, which has an onboard visual inspection system that can inspect pipes and acquire images independently. The robot was designed to be able to navigate through the pipe geometry. A unique redundant localization system that uses an accelerometer and encoder sensor was developed to ensure that the robot knows the location of the images taken and its own position inside the boiler header pipe. This paper discusses the prototype development, the localization system and site testing conducted to validate the prototype. Based on the test results, the BHIR prototype with redundant localization was proven to be successful.

SPATIAL HABITUATING SELF ORGANIZING MAP

2015 ◽  
Vol 74 (9) ◽  
Author(s):  
Muhammad Fahmi Miskon ◽  
Nur Maisarah Mohd Sobran ◽  
Fariz Ali ◽  
Ahmad Zaki Hj Shukor
Keyword(s):  
Mobile Robot ◽  
Spatial Information ◽  
Inspection System ◽  
Self Organizing Map ◽  
Changing Environment ◽  
Inspection Robot ◽  
Space And Time ◽  
Environment Simulation ◽  
Simulation Results ◽  
Self Organizing

This paper presents the development of Spatial Habituating Self Organizing Map (SHSOM) network. This project is inspired by the challenges in underwater wall/pipe or cable inspection application using inspection robot. When exposed to the underwater natural elements, robot’s sensor readings are varied over space and time. Hence, the AUV need to be able to continuously adapt to its environment while performing inspection. For this reason, a new inspection system based on spatial Habituating Self Organizing Map (SHSOM) network is proposed. SHSOM allows the robot to continuously learn and adapt to new changes in its environment by using habituation principle which considers spatial information. WEBOT simulator is used to simulate an inspection scenario involving a mobile robot a changing environment. Simulation results show that the robot successfully learn and detect novel events during inspection.

scholarly journals Head Gesture Recognition using a 6DOF Inertial IMU

2020 ◽  
Vol 15 (3) ◽  
Author(s):  
Ionut Cristian Severin ◽  
Dan Marius Dobrea ◽  
Monica Claudia Dobrea
Keyword(s):  
Computer Games ◽  
Head Movement ◽  
Control Method ◽  
Inertial Sensor ◽  
Recognition System ◽  
Head Movements ◽  
Video Information ◽  
Movement Recognition ◽  
New Type ◽  
And Performance

The recognition of the head movements is a challenging task in the Human-Computer Interface domain. The medical, automotive, or computer games domains are only several fields where this task can find practical applicabilities. Currently, the head movement recognition is performed using complex systems based on video information or using an IMU sensor with nine freedom degrees. In this paper, we describe a new approach for recognizing head movements using a new type of IMU sensor with six freedom degrees placed on top of a headphone pair. The system aims to provide an easy control method for people suffering from tetraplegia for a specific set of activities. The system collects data from the inertial sensor placed on top of the headphone to analyze and then extract the features for head movement recognition. We did construct and evaluated eight predictive models of classifying head movements activity to determine which one is the best fit for the proposed head movement recognition system. The comparison and performance evaluation provided by each predictive model lead to demonstrate the performances delivered by our new system for head movements recognition.

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