We have researched a gondola typed robot system for building façade maintenance. Its main application is to paint on building façade. To apply a robot system to the painting tool, recognition of building wall shape should be preceded. In this paper, we proposed a limit switch module as a mechanical sensor method. As experiments, we applied the proposed module to window and obstacle on wall with attitude reference sensor (ARS) and laser height sensor (distance sensor).
Ijctcm030301TILTED WINDOW DETECTION FOR GONDOLATYPED FACADE ROBOTijctcm
Working on building façade is dangerous. Many accidents have occurred, and many workers have lost
their lives. We have researched to apply robot systems to prevent these accidents. In this paper, we
purposed an algorithm for sensor system of a gondola-typed building façade maintenance robot. The
robot system moves on the building façade autonomously, or by remote control. Therefore, window area
detection is important for painting of the gondola system. For robust and accurate detection, the
proposed algorithm was designed for tilted windows.
P AINTING T OOL C ONTROL AND S CENARIO FOR G ONDOLA - TYPED F ACADE M A...ijctcm
We have researched a gondola-typed building façade
maintenance robot system. Its main goal is to paint
reinforced concrete walls as fast and wide as possi
ble. We applied a horizontal array of painting spray nozzles which have uniform heights. In order to apply them to the gondola robot, a painting scenario is designed. Basically, when the gondola robot goes from the bottom to the top of the wall, wall shape
recognition is executed. While it goes down, the no
zzles are turned on and off in accordance with the
wallshape
Review of Design and Fabrication of in Pipe Inspection Robotspaperpublications3
Abstract: Pipeline is a popular option for long distance transport of materials such as oil, gas, water and solid capsules etc. Almost in all industries pipelines are vital part of fluid transport. In cities and towns they are used to carry sewage water. Any defect in pipeline cause either losses or hazard to the surrounding area. So disciplined pipe inspection and maintenance are necessary steps to maintain pipelines. Using man power for inspection of pipelines may claim many lives or cause permanent injuries. In such cases, use of robot is beneficial for inspection. In this review paper, we have discussed different options to detect cracks, corrosion or third party damages in the pipelines.
Development of Autonomous Wall Painting Robot.docxPavanYashodaPk
The document describes the development of an autonomous wall painting robot prototype. The robot uses a Raspberry Pi module and camera to calculate the dimensions of a wall from an image and control a spray gun mounted on a mechanical structure. This allows the robot to paint specified areas of walls automatically without human intervention. The robot aims to reduce the labor costs and safety risks of manual wall painting by performing the repetitive and hazardous task autonomously.
1. The project involves the design and fabrication of a laser operated robot for pipe inspection. It will have a three finger mechanism and use LDR sensors to detect cracks in pipes using laser light reflection.
2. The robot will be controlled using a microcontroller and transmit video footage and sensor data to a laptop or mobile device for monitoring. It aims to inspect pipes in a fast, cost effective and safer manner compared to manual inspection.
3. Expected outcomes include a functional prototype robot that can accurately inspect pipes for defects and conditions while remaining compliant with inspection regulations to reduce environmental impacts during operations.
Design and development of sapling monitoring systemIJCSEA Journal
The measurement of a plant growth without interrupting its natural growth is essential since its diameter and height are related to the development of a tree as well as the water contents. Therefore main objective of this project is to find the diameter and height of a plant. Hence in this proposed work, an interface between a C3008 smart camera and a computer has been developed. Main advantage of this camera module is that it has digital output and digital video port that supplies a continuous 8-16 bit range of data stream. It is used to capture the image of a plant at different intervals of time. A MATLAB GUI has been developed for performing Sobel Edge Detection on a plant image to determine its height, maximum and minimum width. Such programs enable us to automatically measure and record the various parameters of a plant. The results attained prove that the system is capable of measuring the changes (diameter and height changes) of plant’s growth accurately.
This document discusses 3D machine vision systems and their use as metrology tools on the shop floor. It provides an overview of different 3D machine vision technologies like laser scanning, structured light, and stereo viewing. It discusses their capabilities and limitations, as well as advances that have enabled more quantitative shop floor metrology applications. Key performance parameters for these systems include sub-mil resolution, measurement speeds of a few seconds, and ability to measure a wide range of surface finishes. The document also evaluates these systems through application testing and comparison to other measurement tools.
DETERMINING METAL SURFACE WAVINESS PARAMETERS AND HEIGHT LIQUID SURFACE WAVE ...IAEME Publication
The work is concentrated on an experimental approach to determine surface waviness of metal and height of liquid surface wave. It is based on illuminated those surfaces with a highly coherent light such as laser, and observed movement of center of speckle pattern which were gained from the movement surfaces by using tracking program. The movements of the speckle pattern work on carries important information about those surfaces. Two triangulation methods employed to evaluate metal waviness and liquid surface wave. The first method apply on a solid material (metal) and taking a video directly from the reflected surface, the second method apply on the liquid material (oil ) and taking a video after reflected from screen. The methods used here have a great potential for precise and non-contact optical measurements for surface wave measurements.
Ijctcm030301TILTED WINDOW DETECTION FOR GONDOLATYPED FACADE ROBOTijctcm
Working on building façade is dangerous. Many accidents have occurred, and many workers have lost
their lives. We have researched to apply robot systems to prevent these accidents. In this paper, we
purposed an algorithm for sensor system of a gondola-typed building façade maintenance robot. The
robot system moves on the building façade autonomously, or by remote control. Therefore, window area
detection is important for painting of the gondola system. For robust and accurate detection, the
proposed algorithm was designed for tilted windows.
P AINTING T OOL C ONTROL AND S CENARIO FOR G ONDOLA - TYPED F ACADE M A...ijctcm
We have researched a gondola-typed building façade
maintenance robot system. Its main goal is to paint
reinforced concrete walls as fast and wide as possi
ble. We applied a horizontal array of painting spray nozzles which have uniform heights. In order to apply them to the gondola robot, a painting scenario is designed. Basically, when the gondola robot goes from the bottom to the top of the wall, wall shape
recognition is executed. While it goes down, the no
zzles are turned on and off in accordance with the
wallshape
Review of Design and Fabrication of in Pipe Inspection Robotspaperpublications3
Abstract: Pipeline is a popular option for long distance transport of materials such as oil, gas, water and solid capsules etc. Almost in all industries pipelines are vital part of fluid transport. In cities and towns they are used to carry sewage water. Any defect in pipeline cause either losses or hazard to the surrounding area. So disciplined pipe inspection and maintenance are necessary steps to maintain pipelines. Using man power for inspection of pipelines may claim many lives or cause permanent injuries. In such cases, use of robot is beneficial for inspection. In this review paper, we have discussed different options to detect cracks, corrosion or third party damages in the pipelines.
Development of Autonomous Wall Painting Robot.docxPavanYashodaPk
The document describes the development of an autonomous wall painting robot prototype. The robot uses a Raspberry Pi module and camera to calculate the dimensions of a wall from an image and control a spray gun mounted on a mechanical structure. This allows the robot to paint specified areas of walls automatically without human intervention. The robot aims to reduce the labor costs and safety risks of manual wall painting by performing the repetitive and hazardous task autonomously.
1. The project involves the design and fabrication of a laser operated robot for pipe inspection. It will have a three finger mechanism and use LDR sensors to detect cracks in pipes using laser light reflection.
2. The robot will be controlled using a microcontroller and transmit video footage and sensor data to a laptop or mobile device for monitoring. It aims to inspect pipes in a fast, cost effective and safer manner compared to manual inspection.
3. Expected outcomes include a functional prototype robot that can accurately inspect pipes for defects and conditions while remaining compliant with inspection regulations to reduce environmental impacts during operations.
Design and development of sapling monitoring systemIJCSEA Journal
The measurement of a plant growth without interrupting its natural growth is essential since its diameter and height are related to the development of a tree as well as the water contents. Therefore main objective of this project is to find the diameter and height of a plant. Hence in this proposed work, an interface between a C3008 smart camera and a computer has been developed. Main advantage of this camera module is that it has digital output and digital video port that supplies a continuous 8-16 bit range of data stream. It is used to capture the image of a plant at different intervals of time. A MATLAB GUI has been developed for performing Sobel Edge Detection on a plant image to determine its height, maximum and minimum width. Such programs enable us to automatically measure and record the various parameters of a plant. The results attained prove that the system is capable of measuring the changes (diameter and height changes) of plant’s growth accurately.
This document discusses 3D machine vision systems and their use as metrology tools on the shop floor. It provides an overview of different 3D machine vision technologies like laser scanning, structured light, and stereo viewing. It discusses their capabilities and limitations, as well as advances that have enabled more quantitative shop floor metrology applications. Key performance parameters for these systems include sub-mil resolution, measurement speeds of a few seconds, and ability to measure a wide range of surface finishes. The document also evaluates these systems through application testing and comparison to other measurement tools.
DETERMINING METAL SURFACE WAVINESS PARAMETERS AND HEIGHT LIQUID SURFACE WAVE ...IAEME Publication
The work is concentrated on an experimental approach to determine surface waviness of metal and height of liquid surface wave. It is based on illuminated those surfaces with a highly coherent light such as laser, and observed movement of center of speckle pattern which were gained from the movement surfaces by using tracking program. The movements of the speckle pattern work on carries important information about those surfaces. Two triangulation methods employed to evaluate metal waviness and liquid surface wave. The first method apply on a solid material (metal) and taking a video directly from the reflected surface, the second method apply on the liquid material (oil ) and taking a video after reflected from screen. The methods used here have a great potential for precise and non-contact optical measurements for surface wave measurements.
This document summarizes research on using remote sensing techniques like photogrammetry and digital cameras to categorize and analyze surface deteriorations on structures. Key points:
- Visual inspections are subjective and limited by access. Remote sensing allows comprehensive inspections.
- A concrete block wall was constructed with cracks and biological crusts added. Photos were taken at varying distances and magnifications.
- Image analysis software classified deteriorations in photos. Regression analysis calculated relationships between deterioration area and distance/magnification.
- Calculations determine the field of view and image scale at different camera settings to allow calculating deterioration sizes from pixel counts.
This document summarizes research on using remote sensing techniques like photography and image analysis to categorize and analyze surface deterioration on structures. Researchers took photos of a constructed concrete block wall with introduced cracks and biological crusts from varying distances and magnifications. The images were analyzed using ERDAS Imagine software to classify deteriorations. The number of pixels for each deterioration type at different distances/magnifications was recorded. Regression analysis using the least squares and bilinear quadratic methods generated equations to analyze the relationship between deterioration and distance/magnification for condition assessment of inaccessible structures. The percentage difference between the measured and calculated deterioration values was within an acceptable range.
Measurement techniques in micro machining PDF by badebhau4@gmail.comEr. Bade Bhausaheb
This document discusses various measurement techniques used in micro machining. It begins by explaining the need for developing new measurement techniques capable of accurately measuring micro-scale features between 0.1 to 100 μm. It then categorizes measuring systems as either dimensional or topographic and describes examples in each category. Key techniques discussed include optical microscopes, electron microscopes like SEM, interferometers, profilometers, scanning probe microscopes and laser-based systems. The document provides details on operating principles, applications, accuracy and resolution limits of these micro-measurement techniques.
This document summarizes 10 important AI research papers. It begins with a brief introduction on artificial intelligence and what the papers aim to provide information on. It then lists the 10 papers with their titles:
1. A Computational Approach to Edge Detection
2. A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence
3. A Threshold Selection Method from Gray-Level Histograms
4. Deep Residual Learning for Image Recognition
5. Distinctive Image Features from Scale-Invariant Keypoints
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
7. Large-scale Video Classification with Convolutional Neural Networks
8. Probabilistic Reason
Hardware Unit for Edge Detection with Comparative Analysis of Different Edge ...paperpublications3
Abstract: An edge in an image is a contour across which the brightness of the image changes abruptly. In image processing, an edge is often interpreted as one class of singularities. Edge detection is an important task in image processing. It is a main tool in pattern recognition, image segmentation, and scene analysis. An edge detector is basically a high pass filter that can be applied to extract the edge points in an image. This topic has attracted many researchers and many achievements have been made. Many researchers provided different approaches based on mathematical calculations which some of them are either robust or cost effective. A new algorithm will be proposed to detect the edges of image with increased robustness and throughput. Using this algorithm we will reduce the time complexity problem which is faced by previous algorithm. We will also propose hardware unit for proposed algorithm which will reduce the area, power and speed problem. We will compare our proposed algorithm with previous approach. For image quality measurement we will use some scientific parameters those are PSNR, SSIM, FSIM. Implementation of proposed algorithm will be done by Matlab and hardware implementation will be done by using of Verilog on Xilinx 14.1 simulator. Verification will be done on Model sim.
3d Machine Vision Systems Paper Presentationguestac67362
ww
1) 3D machine vision systems have advanced to enable quantitative metrology applications on the shop floor. Technologies like laser scanning, structured light, and stereo vision can provide measurements in the sub-mil range at speeds of a few seconds.
2) Key factors for production use are measurement resolution in mils/sub-mils, speeds under a few seconds, and robustness to varying surface finishes and conditions. Technologies were tested on features like edges, textures, and spheres to evaluate performance.
3) Applications include industrial inspection, autonomous vehicles, transport safety, surveillance, remote sensing, and medical imaging. Continued improvements in computing, cameras, and light sources will further expand use of 3D machine
Precision robotic assembly using attractive regionsijmech
This document summarizes a research paper on precision robotic assembly using attractive regions. The key points are:
1) Researchers developed a new method to decompose the 6-dimensional configuration space of a peg-in-hole assembly task into two 3D subspaces using the concept of "attractive regions."
2) An impedance controller is integrated with the attractive regions approach to allow the robotic system to achieve human-like assembly performance without force sensing.
3) The approach is experimentally validated using a 7 degree-of-freedom robotic arm to insert three different prismatic pegs into holes on a fixed base, guided by stereo vision identification of the parts.
Design and implementation of an sms based robotic system for hole- detection ...eSAT Journals
Abstract This paper presents the design and implementation of SMS-based robotic system for hole-detection in surface pipes using GPS/GPRS/GSM technology. In industries today, surface pipelines are used to transport fluids; some of these pipelines have joints which are welded together. In a situation whereby the welding is not perfectly done, leakage of fluids may occur, leading to product loss and downtime. Therefore to checkmate this issue of pipeline leakage, an SMS-based robotic system is designed to inspect the pipelines for holes and if light is sensed in the pipelines through the sensing devices on the robot, a Short Message Service (SMS) indicating the location where the light was sensed is sent to the operator’s phone with help of the SIM 900 GPS/GPRS/GSM MODEM installed on the robot hardware system. The robot system is designed with an Arduino Uno Micro-Controller and some sensing devices installed on it. The system is programmed using embedded C language. After the implementation, the robot system was tested which could detect holes in surface pipelines and sent short message to the personnel’s mobile phone. Keywords: Arduino Uno Board, GPS/GPRS/GSM technology, Robotics, SIM900 Modem, Sensors
Recently, research has picked up a fervent pace in the area of fault diagnosis of electrical vehicle. Like failures of a position sensor, a voltage sensor, and current sensors. Three-phase induction motors are the “workhorses” of industry and are the most widely used electrical machines. This paper presents a scheme for Fault Detection and Isolation (FDI). The proposed approach is a sensor-based technique using the mains current measurement. Current sensors are widespread in power converters control and in electrical drives. Thus, to ensure continuous operation with reconfiguration control, a fast sensor fault detection and isolation is required. In this paper, a new and fast faulty current sensor detection and isolation is presented. It is derived from intelligent techniques. The main interest of field programmable gate array is the extremely fast computation capabilities. That allows a fast residual generation when a sensor fault occurs. Using of Xilinx System Generator in Matlab / Simulink allows the real-time simulation and implemented on a field programmable gate array chip without any VHSIC Hardware Description Language coding. The sensor fault detection and isolation algorithm was implemented targeting a Virtex5. Simulation results are given to demonstrate the efficiency of this FDI approach.
Unit III - Solved Question Bank- Robotics Engineering -Sanjay Singh
This Question Bank for Robotics Engineering is only for academic purpose and not for any commercial use. Students of Anna University and other Universities can use it for reference and knowledge.
Automated surface defect detection using area scan cameraAlexander Decker
This document summarizes an automated surface defect detection system that uses an area scan camera. The system consists of three subsystems: 1) a mechanical subsystem with a conveyor belt and rejection mechanism; 2) an electrical subsystem with motors, sensors, microcontroller and computer; and 3) a software subsystem with programs to control detection and rejection. The area scan camera captures images that are analyzed by a MATLAB program to detect defects based on light intensity. The system was tested on 1000 plates and successfully rejected all 700 defective plates while accepting the 300 non-defective plates.
A Between two line follower stand before the barrier mobile robot is a mobile machine that can detect and follow between two line drawn on the floor. Generally, the path can be white lines on a black surface or it can be black lines on a white surface. Today robot is very important in our life because it can do everything without human intervention, especially for difficult or danger works. And the second cause is that robots able to work for a long time without feeling tired. Therefore in this research we will going to design robot that able to walk between two lines, and at the same time, this robot can pass the barriers that facing it. We conclude from this that this robot can help in many areas, such as to be a helper in hazardous work or in the transport of materials that are dangerous to human life, Or that this robot be helpful for people with disabilities where carts industry able to navigate seamlessly, also can use this robot in military actions. In this study robots should sense the line with its Infrared Ray (IR) sensors, and the objects sensors should sense the objects in front of the robot to be able to pass it easily. The work of the robot depends on the receipt information from sensors and sent this information to the main memory (arduino) and then to the motors as the Android based movement According to the information received from sensors.
This document describes a dead-zone-free 3D display that uses an eye-tracking system combined with a liquid crystal moving barrier. The barrier is split into independently controlled electrodes that can be adjusted based on the detected position of the viewer's eyes to ensure the correct image reaches each eye across a wide viewing area without crosstalk or dead zones. An experiment confirmed the eye-tracking barrier system achieved less than 4.5% crosstalk and brightness variations of less than 3% for viewing angles from -20 to 20 degrees, providing a good 3D experience without deviations from the optimal viewing position. Key aspects of the barrier design addressed reducing light leakage, brightness changes, and crosstalk fluctuations during barrier movement.
An Efficient Algorithm for Edge Detection of Corroded SurfaceIJERA Editor
Inspection process in industrial applications plays a vital role as it directly hinders the outages of industry. Thereby the inspection especially in case of corroded surfaces is to be fast, precised and accurate. Visual inspection has been very liable to mistakes because of numerous facts. The automatic inspection systems remove subjective aspects and can provide fast and accurate inspection. Inspection of corroded surfaces is very important concern, thus it is required to detect corroded surfaces. A new algorithm is developed by certain changes in mask and thresholding selection to detect corroded surfaces. The paper is about how we can amend the weak edges of input images and discarding false edges to overcome the problem of traditional techniques in this field. Proposed operator also compared with two commonly used edge detection algorithms which are Canny and Sobel.
An Efficient Algorithm for Edge Detection of Corroded SurfaceIJERA Editor
Inspection process in industrial applications plays a vital role as it directly hinders the outages of industry. Thereby the inspection especially in case of corroded surfaces is to be fast, precised and accurate. Visual inspection has been very liable to mistakes because of numerous facts. The automatic inspection systems remove subjective aspects and can provide fast and accurate inspection. Inspection of corroded surfaces is very important concern, thus it is required to detect corroded surfaces. A new algorithm is developed by certain changes in mask and thresholding selection to detect corroded surfaces. The paper is about how we can amend the weak edges of input images and discarding false edges to overcome the problem of traditional techniques in this field. Proposed operator also compared with two commonly used edge detection algorithms which are Canny and Sobel.
The document summarizes the design and development of a multifunctional wall walking robot with a robotic arm. The robot is designed to be stable, flexible, and able to work in hazardous environments through monitoring or military applications. It uses vacuum adhesion for movement and is controlled wirelessly via an RF module and Arduino controller. The robotic arm has 6 degrees of freedom and can lift payloads of up to 150g with a reach of 30cm. The design aims to improve on previous models by reducing costs, size, and complexity while increasing the working area and capabilities. It was tested to have a speed of 10.67cm/s, payload capacity of 8kg, and power consumption of 12W/hr.
This paper presents crack detection in concrete structure based on fuzzy logic. Safety inspection of concrete structures is very important since it is closely related with the structural health and reliability. Automated structural health monitoring system becomes necessity in recent years that encourages various researches to be going on in this area. Cheap availability of digital cameras makes research work in this field easier. This paper presents digital image processing and fuzzy logic based efficient crack detection technique in concrete structure. Here features from digital image of concrete structure are extracted by using morphological image processing technique and then extracted features are fed to fuzzy logic to accurately identify the crack.
This document provides summaries of 14 different technologies and research projects, including:
1. A time cancellation device that can divide seconds into millions of sections to study very short processes.
2. A method for determining when earthquakes and volcanoes will occur by studying relationships between events.
3. A new technology for BJT and MOSFET transistors to create a class C small signal amplifier with high efficiency and ability to handle small signals.
4. A noise cancellation method that can completely remove noise from signals for wireline and wireless communications.
IRJET- Harmonic Analysis of Cantilever Beam with and without CracksIRJET Journal
The document discusses the harmonic analysis of cantilever beams with and without cracks using finite element analysis software SAP2000. Cantilever steel and concrete beam models were developed with varying crack depths and locations. Modal analysis was performed to determine the natural frequencies and mode shapes of the beams. The results show that the presence of cracks, especially those closer to the fixed end, reduce the natural frequencies of beams compared to uncracked beams. Deeper cracks produce a larger decrease in natural frequency. Cracked beams also experience greater displacement under harmonic loads than uncracked beams due to the reduction in stiffness caused by cracks. The study aims to evaluate how crack parameters like depth and location influence vibration characteristics of beams.
IRJET- Estimation of Propagation Time of Microwave Signal in Different Enviro...IRJET Journal
1. The document analyzes the theoretical estimation of propagation time of microwave signals in different environments.
2. It discusses how the dielectric constant of walls and other materials affects the speed of propagation and time of propagation of microwave signals. Higher dielectric constants result in lower speeds and longer propagation times.
3. MATLAB simulations were used to model signal propagation through walls and analyze the relationships between dielectric constant, reflection coefficient, speed of propagation, and time of propagation. The results show that changes in dielectric constant directly impact these propagation parameters.
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...EduSkills OECD
Andreas Schleicher, Director of Education and Skills at the OECD presents at the launch of PISA 2022 Volume III - Creative Minds, Creative Schools on 18 June 2024.
This document summarizes research on using remote sensing techniques like photogrammetry and digital cameras to categorize and analyze surface deteriorations on structures. Key points:
- Visual inspections are subjective and limited by access. Remote sensing allows comprehensive inspections.
- A concrete block wall was constructed with cracks and biological crusts added. Photos were taken at varying distances and magnifications.
- Image analysis software classified deteriorations in photos. Regression analysis calculated relationships between deterioration area and distance/magnification.
- Calculations determine the field of view and image scale at different camera settings to allow calculating deterioration sizes from pixel counts.
This document summarizes research on using remote sensing techniques like photography and image analysis to categorize and analyze surface deterioration on structures. Researchers took photos of a constructed concrete block wall with introduced cracks and biological crusts from varying distances and magnifications. The images were analyzed using ERDAS Imagine software to classify deteriorations. The number of pixels for each deterioration type at different distances/magnifications was recorded. Regression analysis using the least squares and bilinear quadratic methods generated equations to analyze the relationship between deterioration and distance/magnification for condition assessment of inaccessible structures. The percentage difference between the measured and calculated deterioration values was within an acceptable range.
Measurement techniques in micro machining PDF by badebhau4@gmail.comEr. Bade Bhausaheb
This document discusses various measurement techniques used in micro machining. It begins by explaining the need for developing new measurement techniques capable of accurately measuring micro-scale features between 0.1 to 100 μm. It then categorizes measuring systems as either dimensional or topographic and describes examples in each category. Key techniques discussed include optical microscopes, electron microscopes like SEM, interferometers, profilometers, scanning probe microscopes and laser-based systems. The document provides details on operating principles, applications, accuracy and resolution limits of these micro-measurement techniques.
This document summarizes 10 important AI research papers. It begins with a brief introduction on artificial intelligence and what the papers aim to provide information on. It then lists the 10 papers with their titles:
1. A Computational Approach to Edge Detection
2. A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence
3. A Threshold Selection Method from Gray-Level Histograms
4. Deep Residual Learning for Image Recognition
5. Distinctive Image Features from Scale-Invariant Keypoints
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
7. Large-scale Video Classification with Convolutional Neural Networks
8. Probabilistic Reason
Hardware Unit for Edge Detection with Comparative Analysis of Different Edge ...paperpublications3
Abstract: An edge in an image is a contour across which the brightness of the image changes abruptly. In image processing, an edge is often interpreted as one class of singularities. Edge detection is an important task in image processing. It is a main tool in pattern recognition, image segmentation, and scene analysis. An edge detector is basically a high pass filter that can be applied to extract the edge points in an image. This topic has attracted many researchers and many achievements have been made. Many researchers provided different approaches based on mathematical calculations which some of them are either robust or cost effective. A new algorithm will be proposed to detect the edges of image with increased robustness and throughput. Using this algorithm we will reduce the time complexity problem which is faced by previous algorithm. We will also propose hardware unit for proposed algorithm which will reduce the area, power and speed problem. We will compare our proposed algorithm with previous approach. For image quality measurement we will use some scientific parameters those are PSNR, SSIM, FSIM. Implementation of proposed algorithm will be done by Matlab and hardware implementation will be done by using of Verilog on Xilinx 14.1 simulator. Verification will be done on Model sim.
3d Machine Vision Systems Paper Presentationguestac67362
ww
1) 3D machine vision systems have advanced to enable quantitative metrology applications on the shop floor. Technologies like laser scanning, structured light, and stereo vision can provide measurements in the sub-mil range at speeds of a few seconds.
2) Key factors for production use are measurement resolution in mils/sub-mils, speeds under a few seconds, and robustness to varying surface finishes and conditions. Technologies were tested on features like edges, textures, and spheres to evaluate performance.
3) Applications include industrial inspection, autonomous vehicles, transport safety, surveillance, remote sensing, and medical imaging. Continued improvements in computing, cameras, and light sources will further expand use of 3D machine
Precision robotic assembly using attractive regionsijmech
This document summarizes a research paper on precision robotic assembly using attractive regions. The key points are:
1) Researchers developed a new method to decompose the 6-dimensional configuration space of a peg-in-hole assembly task into two 3D subspaces using the concept of "attractive regions."
2) An impedance controller is integrated with the attractive regions approach to allow the robotic system to achieve human-like assembly performance without force sensing.
3) The approach is experimentally validated using a 7 degree-of-freedom robotic arm to insert three different prismatic pegs into holes on a fixed base, guided by stereo vision identification of the parts.
Design and implementation of an sms based robotic system for hole- detection ...eSAT Journals
Abstract This paper presents the design and implementation of SMS-based robotic system for hole-detection in surface pipes using GPS/GPRS/GSM technology. In industries today, surface pipelines are used to transport fluids; some of these pipelines have joints which are welded together. In a situation whereby the welding is not perfectly done, leakage of fluids may occur, leading to product loss and downtime. Therefore to checkmate this issue of pipeline leakage, an SMS-based robotic system is designed to inspect the pipelines for holes and if light is sensed in the pipelines through the sensing devices on the robot, a Short Message Service (SMS) indicating the location where the light was sensed is sent to the operator’s phone with help of the SIM 900 GPS/GPRS/GSM MODEM installed on the robot hardware system. The robot system is designed with an Arduino Uno Micro-Controller and some sensing devices installed on it. The system is programmed using embedded C language. After the implementation, the robot system was tested which could detect holes in surface pipelines and sent short message to the personnel’s mobile phone. Keywords: Arduino Uno Board, GPS/GPRS/GSM technology, Robotics, SIM900 Modem, Sensors
Recently, research has picked up a fervent pace in the area of fault diagnosis of electrical vehicle. Like failures of a position sensor, a voltage sensor, and current sensors. Three-phase induction motors are the “workhorses” of industry and are the most widely used electrical machines. This paper presents a scheme for Fault Detection and Isolation (FDI). The proposed approach is a sensor-based technique using the mains current measurement. Current sensors are widespread in power converters control and in electrical drives. Thus, to ensure continuous operation with reconfiguration control, a fast sensor fault detection and isolation is required. In this paper, a new and fast faulty current sensor detection and isolation is presented. It is derived from intelligent techniques. The main interest of field programmable gate array is the extremely fast computation capabilities. That allows a fast residual generation when a sensor fault occurs. Using of Xilinx System Generator in Matlab / Simulink allows the real-time simulation and implemented on a field programmable gate array chip without any VHSIC Hardware Description Language coding. The sensor fault detection and isolation algorithm was implemented targeting a Virtex5. Simulation results are given to demonstrate the efficiency of this FDI approach.
Unit III - Solved Question Bank- Robotics Engineering -Sanjay Singh
This Question Bank for Robotics Engineering is only for academic purpose and not for any commercial use. Students of Anna University and other Universities can use it for reference and knowledge.
Automated surface defect detection using area scan cameraAlexander Decker
This document summarizes an automated surface defect detection system that uses an area scan camera. The system consists of three subsystems: 1) a mechanical subsystem with a conveyor belt and rejection mechanism; 2) an electrical subsystem with motors, sensors, microcontroller and computer; and 3) a software subsystem with programs to control detection and rejection. The area scan camera captures images that are analyzed by a MATLAB program to detect defects based on light intensity. The system was tested on 1000 plates and successfully rejected all 700 defective plates while accepting the 300 non-defective plates.
A Between two line follower stand before the barrier mobile robot is a mobile machine that can detect and follow between two line drawn on the floor. Generally, the path can be white lines on a black surface or it can be black lines on a white surface. Today robot is very important in our life because it can do everything without human intervention, especially for difficult or danger works. And the second cause is that robots able to work for a long time without feeling tired. Therefore in this research we will going to design robot that able to walk between two lines, and at the same time, this robot can pass the barriers that facing it. We conclude from this that this robot can help in many areas, such as to be a helper in hazardous work or in the transport of materials that are dangerous to human life, Or that this robot be helpful for people with disabilities where carts industry able to navigate seamlessly, also can use this robot in military actions. In this study robots should sense the line with its Infrared Ray (IR) sensors, and the objects sensors should sense the objects in front of the robot to be able to pass it easily. The work of the robot depends on the receipt information from sensors and sent this information to the main memory (arduino) and then to the motors as the Android based movement According to the information received from sensors.
This document describes a dead-zone-free 3D display that uses an eye-tracking system combined with a liquid crystal moving barrier. The barrier is split into independently controlled electrodes that can be adjusted based on the detected position of the viewer's eyes to ensure the correct image reaches each eye across a wide viewing area without crosstalk or dead zones. An experiment confirmed the eye-tracking barrier system achieved less than 4.5% crosstalk and brightness variations of less than 3% for viewing angles from -20 to 20 degrees, providing a good 3D experience without deviations from the optimal viewing position. Key aspects of the barrier design addressed reducing light leakage, brightness changes, and crosstalk fluctuations during barrier movement.
An Efficient Algorithm for Edge Detection of Corroded SurfaceIJERA Editor
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1. International Journal of Control Theory and Computer Modeling (IJCTCM) Vol.4, No.1/2, April 2014
DOI : 10.5121/ijctcm.2014.4201 1
WALL SHAPE RECOGNITION USING LIMIT SWITCH
MODULE
Dong Yeop Kim1
, Jae Min Lee1
, Jongsu Yoon2
, Tae-Keun Kim1
,
Bong-Seok Kim1
, and Chang-Woo Park1
1
Intelligent Robotics Research Center, Korea Electronics Technology Institute, Bucheon-
si, Gyeonggi-do, Republic of Korea
2
Energy & Marine Research Division, Korea Marine Equipment Research Institute,
Busan, Republic of Korea
ABSTRACT
We have researched a gondola typed robot system for building façade maintenance. Its main application is
to paint on building façade. To apply a robot system to the painting tool, recognition of building wall shape
should be preceded. In this paper, we proposed a limit switch module as a mechanical sensor method. As
experiments, we applied the proposed module to window and obstacle on wall with attitude reference
sensor (ARS) and laser height sensor (distance sensor).
KEYWORDS
gondola robot, building facade, wall shape, limit switch
1. INTRODUCTION
There are many people who work on high-rise building. They hang themselves on ropes and work
at decades meter high in the air. Stress and fear for danger always press them. Number of such
workers has decreased, but requirement has increased. Labour cost for building wall maintenance
has also increased.
Many researches have tried to help them. A robot with suction pads moves on glass wall to clean
it [1, 2]. Built-in guide rail provides stable robot navigation method to access building façade [3].
We have researched a gondola-typed robot system [4-7]. As sensor system, we proposed a height
sensor system [5] and window detection algorithm [6, 7]. The basic approach is to keep people
away from building façade. Vertical location control and horizontal balance control is applied on
our gondola robot system. Painting nozzles and cleaning rotary brushes are established.
In this paper, we will suggest another sensor system. It is a mechanical sensor module using limit
switch for wall shape recognition. Two limit switches with different stroke sense the same place
for wall and obstacle. There are three states with sensor output. First is that there is wall and no
obstacle. We call it as ‘ordinary wall’. Second is both limit switches are off. It means there is a
window in front of the sensor module. Third is an obstacle make the two limit switch on because
the obstacle is close to the sensor module.
Additionally, the sensor module uses only mechanical sensors. It is very important to guarantee
robust sensor system. Limit switches has already been used for long time, and its robustness is
proven.
2. International Journal of Control Theory and Computer Modeling (IJCTCM) Vol.4, No.1/2, April 2014
2
In Chapter 2, we will show the meaning of wall shape recognition. In Chapter 3, our suggested
limit switch module will be introduced. Experimental result and relevant discussion will be in
Chapter 4.
2. WALL SHAPE FOR AUTONOMOUS WALL PAINTING ROBOT
Figure 1. G-BMR Release 5 (R5)
Fig. 1 is fifth release of our gondola robot platform (G-BMR R5). Its width is 3.5 m, and the
painting width is 3.2 m. There are six painting nozzles controlled by solenoids. They spray single
color paint at concrete wall. The system purpose is to paint single color on wide concrete wall fast.
Two endless winders are actuated to keep horizontal balance. This horizontal balance is an
important factor to get proper painting quality on the wall. Two suction fans generate contacting
force between the gondola frame and the building wall [8]. These fans provide two control factors.
First is to keep horizontal balance on orthogonal direction of endless winders. Second is to
guarantee the distance between wall and paint nozzle.
For painting with six painting nozzles, the nozzles should be controlled in accordance with
building wall shape. We defined the wall as three categories. First is ordinary concrete wall.
Second is obstacle on wall. Third is window. The criterion of classification is the distance from
the gondola to the wall.
The reason we use three classes is that we only aim to paint on the ordinary wall. Other wall
classes are out of our aim of painting. In other words, the main goal of the wall shaping
recognition is to identify the wall to be paint. The method is to identify the distance from gondola
frame.
We have already researched a window detection algorithm using visual sensor [6, 7]. However,
the proposed sensor module has different approach. Most of all, this approach use only
mechanical sensors. Amount of information is smaller than other laser or visual sensors, and this
mechanical sensor is robust to environmental threat such as humidity, sun light, and sprayed paint
by robot.
3. International Journal of Control Theory and Computer Modeling (IJCTCM) Vol.4, No.1/2, April 2014
3
3. LIMIT SWITCH MODULE
3.1. Module Component
At fig. 2, there are two limit switches in limit switch module. Their combination is translated to
building wall shape information. The ARS sensor and the height sensor are used to mapping to
3D localization of the robot. If ARS sensor and height senor are attached to other place of the
gondola, the sensor data is need to send to this limit switch module process algorithm.
The main point of the limit switch module is that two limit switches have different purpose and
setting. Fig. 2 (b) is the limit switch for wall that has longer stroke and senses the window areas.
Fig. 2 (c) is the sensor for obstacles has shorter stroke to sense only obstacles which is closer than
ordinary wall.
Figure 2. Limit Sensor Module.
3.2. Limit Switch Scenarios
Fig. 3 is a case that the gondola is on ordinary wall. Only the limit switch for wall is on. The limit
switch for obstacle is off. Based on these two limit switch sensor values, we can decide that the
robot is on ordinary wall. Because ordinary wall is recognized, the paint nozzle on gondola (Fig.
3 (d)) is on. Note that the painting procedure is executed when the gondola goes down. Therefore ,
limit switch installation is set to satisfy it.
4. International Journal of Control Theory and Computer Modeling (IJCTCM) Vol.4, No.1/2, April 2014
4
Figure 3. Movement on Ordinary Wall
If the gondola is on window area, the two limit switches are off simultaneously as shown in Fig. 4.
Because the gondola is on window area, the paint nozzle on Fig. 4 (d) is off. When the gondola
robot goes through window area, we turn off the suction fans for preventing the gondola frame to
hit the window glass. Therefore, two limit switches can be off.
Figure 4. Movement on window space
At the obstacle on wall, the two limit switches are on. Note that the obstacle on wall is defined as
something on the wall which is closer to the gondola than ordinary wall. For example, security
grill can be sense by this approach. There may be concrete ribs on the wall, and they should be
painted with the same color. After adjusting the stroke of obstacle limit switch not to sense
concrete ribs, the paint can be sprayed on the concrete ribs.
5. International Journal of Control Theory and Computer Modeling (IJCTCM) Vol.4, No.1/2, April 2014
5
Figure 5. Movement on Wall Obstacle
On top view of the gondola robot system, the limit switch modules are installed as shown in Fig.
6. We assume that there are no windows and no obstacle that smaller than paint nozzle spray
width. Our specification of nozzle width is 30 cm, and overlay of paint is required for paint
quality. Therefore, limit switch modules on left and right of each nozzle can determine on and off
state of the paint nozzle. If third limit switch module sense a window or an obstacle, second and
third paint nozzles should be off.
Figure 6. Horizontal installation of limit switch modules
4. EXPERIMENTAL RESULT
The proposed limit switch module of Fig. 2 is applied to a window and an obstacle shown in Fig.
7. This window is installed about 7 cm sunken. The obstacle is a stainless steel cover for valves
in wall, and about 3 cm protruding and 35 cm height.
6. International Journal of Control Theory and Computer Modeling (IJCTCM) Vol.4, No.1/2, April 2014
6
(a) (b)
Figure 7. (a) Window on wall (b) Obstacle on wall (Stainless steel valve cover)
Figure 8 is sensor data when the limit switch module was applied on the window. At the same
height, the limit switch state is toggled. On limit switch graph labelled as ‘Switching’, bottom
state means both limit switches are off, and middle means the wall limit switch on.
Figure 8. Sensor data on window
Figure 9 is output of the limit switch module on obstacle. There are two toggled points on limit
switch graph, and they are 131 cm and 95 cm on height graph, respectively. The gap of sensed
height by the limit switch module and measured height by ruler is 1 cm for 35 cm high obstacle.
Figure 9. Sensor data on obstacle
5. CONCLUSIONS
Limit switch is widely used mechanical sensor at robotics and factory automation. We applied
this sensor to the gondola-typed building maintenance robot system to recognize the wall shape.
With this sensor data, we will control the painting tool nozzles to protect windows and react to
obstacles on the wall. Two limit switches sense the wall and the obstacle respectively. By
adjusting stroke of limit switch, the sensor module can be applied to various environments. At
7. International Journal of Control Theory and Computer Modeling (IJCTCM) Vol.4, No.1/2, April 2014
7
experiment with the height sensor and ARS sensor, we can verify the location specifying
performance of the sensor module about change of wall state.
As future work, we are researching how to apply this module to the gondola system compact and
easy-to-maintenance. With other sensor system we researched, we will design fail-safe scenarios
about the gondola robot system.
ACKNOWLEDGEMENTS
The work presented in this paper was funded by BMRC (Building-Facade Maintenance Robot
Research Center), supported by Korea Agency for Infrastructure Technology Advancement
(KAIA) under the Ministry of Land, Infrastructure and Transport (MOLIT).
REFERENCES
[1] Zhang, H., Zhang, J., Zong, G., Wang, W., Liu, R., (2009) “Sky Cleaner 3: a real pneumatic climbing
robot for glass-wall cleaning”, Robotics &Automation Magazine, IEEE. 2006, 13 (1): 173-183.
[2] Gambao, E., Hernando, M., (2006) “Control system for a semi-automatic façade cleaning Robot”, in
Proc. of the 23rd International Symposium on Automation and Robotics in Construction (ISARC),
2006, pp. 406-411.
[3] Moon, S.-M., Hong, D., Kim, S.-W, and Park, S. (2012). “Building wall maintenance robot based on
built-in guide rail”. In Proceedings of Industrial Technology (ICIT), 2012 IEEE International
Conference on, 2012, pp. 498-503.
[4] Sun, H., Kim, D. Y., Kwon, J. H., Kim, B.-S., and Park, C.-W. (2012) “Vision rope attribute
measurement sensor for gondola-typed facade robot”, International Journal of Control Theory and
Computer Modelling (IJCTCM), Vol. 2, No. 2, pp. 29-39.
[5] Kim, D. Y., Sun, H., Yoon, J., and Park, C.-W. (2012). “Height estimation of gondola-typed facade
robot”. In Proceedings of 29th International Symposium on Automation and Robotics in Construction
(ISARC 2012).
[6] Kim, D. Y., Yoon, J., Sun, H., and Park, C.-W. (2012) “Window detection for gondola robot using a
visual camera”. In Proceeding of IEEE International Conference on Automation Science and
Engineering (CASE 2012), 2012, pp. 998-1003.
[7] Kim, D. Y., Yoon, J, Cha, D. H., and Park, C.-W. (2013) “Tilted Window Detection for Gondola-
typed Facade Robot”, International Journal of Control Theory and Computer Modelling (IJCTCM),
Vol. 3, No. 3, pp. 1-10.
[8] Ham, Y.-B., Park, C.-D., and Lim, B.-J. (2012). “Experiment for attaching performance of a fan and
vacuum pad on grooved vertical concrete walls”. In Proceeding of IEEE International Conference on
Automation Science and Engineering (CASE 2012), 2012, pp. 1010-1015.
Authors
Dong Yeop Kim received the B.S. and M.S. degree in School of Electrical & Electronic Engineering at
Yonsei University, Seoul, Korea, in 2008 and 2010, respectively. He has been a researcher in Korea
Electronics Technology Institute (KETI) since 2010. His current research interests include computational
intelligence, SLAM, field robotics, robot vision, and actuator module.
Jae Min Lee has been a researcher in Korea Electronics Technology Institute (KETI) since 2013. His
current research interests include embedded systems, field robotics, and control engineering.
Joongsu Yoon received the B.S. and M.S. degree in School of Mechanical Engineering at Korea Maritime
University, Busan, Korea, in 2010 and 2012, respectively. He has been a researcher in Korea Marine
Equipment Research Institute (KOMERI) since 2013. His current research interests include intelligent
systems, field robotics, and robot vision.
8. International Journal of Control Theory and Computer Modeling (IJCTCM) Vol.4, No.1/2, April 2014
8
Tae-Keun Kim received the B.S. and M.S. degree at Korea University, Seoul, Korea. He has been a
researcher in Korea Electronics Technology Institute (KETI) since 2011.
Bong-Seok Kim received the B.S. at Korea Aerospace University, Korea, and the M.S. at Korea University.
He is A.B.D. at Korea University. He has been a senior researcher in Korea Electronics Technology
Institute (KETI).
Chang-Woo Park received the B.S. degree in Electronics Eng. from Korea University in 1997 and M.S. and
Ph.D. degrees in Electronics Eng. from Yonsei University, Seoul, Korea, in 1999 and 2003, respectively.
He has been a managerial researcher in Korea Electronics Technology Institute under the Ministry of
Knowledge Economy since 2003. His current research interests include intelligent systems, nonlinear
control, fuzzy systems, robot vision and robotics.