Robotic Coverage Path Planning for Ultrasonic Inspection

Automatic robotic inspection of arbitrary free-form shapes is relevant for many quality control applications in different industries. We propose a method for planning the motion of an industrial robot to perform ultrasonic inspection of varying 3D shapes. Our method starts with the calculation of a set of sub-paths. These sub-paths are derived from streamlines. The underlying vector field is deduced from local curvature of the inspected geometry. Intermediate robot motions are planned to connect individual sub-paths to obtain a single complete inspection path. Coverage is calculated via ray tracing to simulate the propagation of ultrasound signals. This simulation enables the algorithm to proceed adaptively and to find a good trade-off between path length and coverage. We report experiments for four different geometries. The results indicate that shorter paths are achieved by using ray tracing for adaptive adjustment of streamline density. Our algorithm is tailored to ultrasonic inspection. However, the main concept of exploiting local surface curvature and streamlines for coverage path planning generalizes to other robotic inspection problems.

Deep Learning Convolutional Neural Network for Defect Identification and Classification in Woven Fabric

Inspection is the most important role in textile industry which declares the quality of the apparel product. Many Industries were improving their production or quality using Artificial Intelligence. Inspection of fabric in textile industry takes more time and labours. In order to reduce the number of labours and time taken to complete inspection, computerized image processing is done to identify the defects. It gives the accurate result in less time, thereby saves time and increases the production. The convolutional neural network in deep learning is mainly used for image processing for defect detection and classification. The high quality images are given as input, and then the images were used to train the deep learning neural network. Thewoven fabricdefects such as Holes, Selvedge tails, Stains, Wrong drawing and Snarlswere identified by using Convolutional Neural Network. The sample images were collected from the SkyCotex India Pvt.Ltd. The sample images were processed in CNN based machine learning ingoogle platform; the network has a input layer, n number of hidden layer and output layer. The neural network is trained and tested with the samples and the result obtained is used to calculate the efficiency of defect identification.

Deep Learning Convolutional Neural Network for Defect Identification and Classification in Woven Fabric

Inspection is the most important role in textile industry which declares the quality of the apparel product. Many Industries were improving their production or quality using Artificial Intelligence. Inspection of fabric in textile industry takes more time and labours. In order to reduce the number of labours and time taken to complete inspection, computerized image processing is done to identify the defects. It gives the accurate result in less time, thereby saves time and increases the production. The convolutional neural network in deep learning is mainly used for image processing for defect detection and classification. The high quality images are given as input, and then the images were used to train the deep learning neural network. The woven fabric defects such as Holes, Selvedge tails, Stains, Wrong drawing and Snarls were identified by using Convolutional Neural Network. The sample images were collected from the Sky Cotex India Pvt. Ltd. The sample images were processed in CNN based machine learning in google platform; the network has a input layer, n number of hidden layer and output layer. The neural network is trained and tested with the samples and the result obtained is used to calculate the efficiency of defect identification.

Deep Learning Applied to Vegetation Identification and Removal Using Multidimensional Aerial Data

When performing structural inspection, the generation of three-dimensional (3D) point clouds is a common resource. Those are usually generated from photogrammetry or through laser scan techniques. However, a significant drawback for complete inspection is the presence of covering vegetation, hiding possible structural problems, and making difficult the acquisition of proper object surfaces in order to provide a reliable diagnostic. Therefore, this research’s main contribution is developing an effective vegetation removal methodology through the use of a deep learning structure that is capable of identifying and extracting covering vegetation in 3D point clouds. The proposed approach uses pre and post-processing filtering stages that take advantage of colored point clouds, if they are available, or operate independently. The results showed high classification accuracy and good effectiveness when compared with similar methods in the literature. After this step, if color is available, then a color filter is applied, enhancing the results obtained. Besides, the results are analyzed in light of real Structure From Motion (SFM) reconstruction data, which further validates the proposed method. This research also presented a colored point cloud library of bushes built for the work used by other studies in the field.

Results of a Survey of the National Psoriasis Foundation Medical Board on the Management of Ear Psoriasis

Background: There is limited literature on the occurrence and management of psoriasis involving the ear. Objective: To better understand psoriasis of the ear and current approaches for management. Methods: The Medical Board of the National Psoriasis Foundation was surveyed on the frequency and presentation of psoriasis of the ear, the types of examinations performed, and the rationale for choice of treatment. Results: In this survey, the observed frequency of ear psoriasis was wide (10%-70%). The scalp was the most common concurrent site of extra-auricular psoriasis. Inspection of the ear was commonly reported; however, 75% of respondents report not inspecting the canal. Topical corticosteroids were the most commonly used treatment. Systemic and biologic therapies are infrequently used. Limitations: This study is limited by the sample size of respondents. Not every question of the survey was answered by all those surveyed. Conclusions: Results from our survey suggest that the evaluation of psoriasis of the ear is often not complete. Inspection of the ear, including the canal, is recommended, especially if the scalp is involved. Routine inspection of the ear is recommended both to evaluate treatment response and for potential adverse side effects. In the setting of persistent ear disease, collaboration between dermatologists and otolaryngologists is encouraged.

MODIFIKASI COVER MENJADI INFRARED WINDOW MOTOR 362-MD1 UNTUK INSPEKSI THERMOGRAPH

ABSTRACTThermograph is recognized as one of the best methods for identifying problems with low, medium and high voltage electrical equipment. Thermograph is used as a qualitative and quantitative tool. Qualitative visual shaped images on Thermograph and quantitative infrared cameras in the form of temperature range. In the inspection Thermograph should open the cover of the motor so the danger that arises in Arc Flash Explosion, the danger of rotating equipment and the danger of flying carbon powder. Arc Flash Explosion events generally occur in high equipment because of defective tools or human error. Arc Flash Explosion will not occur without a trigger, with changes in pressure and temperature can cause a short circuit. Arc Flash Explosion occurs when an undesired electrical current flows through the air due to the accumulation of carbon powder, thus heating the air and causing an explosion. When the inspector is not equipped with a personal protective equipment located near Arc Flash. As a result inspector injury and even death. So it is necessary to develop a device for Thermograph inspection security that can separate two environments with different pressures and temperatures. The danger of rotating equipment and the danger of carbon powder flying. IR Window is a security device for Thermograph inspection. Because with the pair IR Window can provide assurance from the Arc Flash Explosion, the danger of rotating equipment and carbon powder hazards that fly because it does not open the motor cover. Thus, Thermograph inspectors can safely complete inspection without process interruption, faster, reduce the number of workers and more completed inspection so as to reduce the risk of equipment failure through routine monitoring techniques and prediction techniques.Keywords: Thermograph, IR Window (InfraRed Window), Arc Flash ExplosionABSTRAKThermograph sebagai salah satu metode terbaik untuk mengidentifikasi masalah pada peralatan listrik tegangan rendah, menengah dan tinggi. Thermograph digunakan sebagai alat inspeksi kualitatif secara visual berbentuk gambar pada kamera infrared Thermograph dan kuantitatif berbentuk range suhu. Dalam inspeksi Thermograph harus membuka cover motor sehingga bahaya yang ditimbulkan yaitu Arc Flash Explosion, bahaya benda yang berputar dan bahaya serbuk karbon yang berterbangan. Peristiwa Arc Flash Explosion pada umumnya terjadi pada peralatan tegangan tinggi karena alat rusak ataupun kesalahan manusia. Arc Flash Explosion tidak akan terjadi tanpa adanya pemicu, dengan perubahan tekanan dan suhu dapat menyebabkan hubung singkat. Arc Flash Explosion terjadi ketika arus listrik yang tidak diinginkan mengalir melalui udara karena adanya akumulasi serbuk karbon, sehingga memanaskan udara dan menyebabkan ledakan. Ketika inspektor tidak dilengkapi dengan alat pelindung diri berada di dekat Arc Flash. Akibatnya inspektor mengalami cedera bahkan kematian. Sehingga perlu mengembangkan perangkat untuk keamanan inspeksi Thermograph yang dapat memisahkan dua lingkungan dengan tekanan dan suhu yang berbeda. Bahaya benda yang berputar dan bahaya serat karbon yang berterbangan. IR Window adalah perangkat keamanan untuk inspeksi Thermograph. Karena dengan di pasangnya IR Window dapat memberikan jaminan dari Arc Flash Explosion, bahaya benda berputar dan bahaya serbuk karbon yang berterbangan karena tidak membuka cover motor. Dengan demikian, inspektor Thermograph dapat menyelesaikan inspeksi dengan aman tanpa gangguan proses, lebih cepat, mengurangi jumlah pekerja dan lebih banyak inspeksi selesai sehingga dapat mengurangi risiko kegagalan peralatan melalui teknik pemantauan rutin dan teknik prediksi.Kata kunci: Thermograph, IR Window (InfraRed Window), Arc Flash Explosio

Hand Held Technology; Its Place In a Environmental Compliance Monitoring System

This abstract will examine the elements of a field deployable inspection application designed to support the U S Environmental Protection Agency's (USEPA) field mission assignment, through the use of hand held technology. The system is designed to mimic a typical inspection through the use of software applications that replicate hard copy inspection forms. The primary elements of the program are in support of the Spill Prevention Control and Countermeasures (SPCC) regulations codified in Title 40 Code of Federal Regulations Part 112. These regulations govern prevention related activities, Facility Response Plans (FRPs) reviews and Government Initiated Unannounced Exercises (GIUEs). Accordingly, digital inspection/evaluation forms were created utilizing File Maker Pro development software. The forms have been deployed on Apple's IPAD tablets which allow for the integration of locational attributes of Google maps and the tablet's built in digital camera. A typical inspection will consist of an Administrative Form, Notice of Inspection (NOI), SPCC Inspection checklist, FRP Review checklist, FRP Field checklist, FRP Approval Letters and when applicable a GIUE evaluation forms. These files combine to form a complete inspection folder where it is either closed out as compliant or submitted to enforcement for further deliberation. A typical inspection begins with general inspection data being entered into the Administrative Form. Data entered here auto populates each corresponding inspection form. As an added enhancement, each inspection form can be pre- populated with consistently recorded values. This is generally the case when conducting multiple inspection where the company remains the same and/or the consultant has prepared plans in a uniform/standardized manner. Consequently, both latitudinal/longitudinal attributes are automatically embedded within the application along with photographic data. Upon completion of the inspection, the data is then synchronized with a GoZync Application with File Maker Pro server via WIFI or cellular connection. After file completion and administrative review, the report can be emailed to the recipient in a PDF format. To date, field trials have been completed on a local level with the expectation that Branch wide deployment will commence in late FY 16. The Agency recently made a nationwide buy of Apple tablets for On Scene Coordinators (OSCs) as well as inspection personnel within the response program. This helped pave the way for new application development and bringing to fruition the Agency's desired mission to perform its duties in a digital environment.

Adaptable Robots Based on Linkage Type Mechanisms for Pipeline Inspection Task

Inspection and exploration represent a challenging domain in the field of robotics because of the hazardous and limited workspace to which the robots have to adapt and because of the reduced ability to monitor and acquire data about the inspected environment. A pipeline inspection robot must ensure sufficient traction force to pull its tether cable and other equipment while travelling inside a pipeline to complete inspection, maintenance, and repair tasks. This paper presents the design of three minirobots with adaptable structure for in pipe inspection and the experimental determination of their traction force. To measure the traction force of the minirobots, the Xplorer GLX digital measuring device was used.

Inspection and Assessment of Urban Gas Pipeline Based on Risk Analysis

In this paper a process framework was constructed for the inspection and assessment of urban gas pipeline. Take a certain gas pipeline network as an example, work directory for complete inspection was established as well as models for risk assessment. Feasible and effective rectification measures could be taken according to the relative importance of the results of the inspection and assessment. Some work in this paper could be adopted for the inspection and assessment of urban gas pipeline.

Design and Implementation of Galvanized Groove Detection Electromechanical System

Based on the serial communication between PC and PLC, design and realization of the electrical control system of testing zinc tank inner wall corrosion degree, PLC control ac servo motors to complete inspection equipment XYZ three direction, testing data via the PLC by sensors, then through a serial port to PC, PC complete error analysis, curved surface fitting, etc , realize the internal corrosion degree of detection.