Automating High-Precision X-Ray and Neutron Imaging Applications With Robotics

Hashem, Joseph; Pryor, Mitch; Landsberger, Sheldon; Hunter, James F.; Janecky, David R.

doi:10.1109/tase.2017.2675709

Cited by 18 publications

(10 citation statements)

References 15 publications

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“…Test automation exists for automation image processing systems of high precision X Ray and Neutron imaging applications [12]. Research has been done for development of testing methods for designing artificial scenes and automatically generating virtual images with precise annotation [13].…”

Section: Background and Related Workmentioning

confidence: 99%

Object Removal Software Test Automation

Banerjee

Aggarwal

2020

IEEE Access

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This paper considers the problem of designing a test method and robust test automation for evaluating the functionality of computer vision algorithms for object removal and image reconstruction of the removed area. An object removal algorithm is used to select and remove a region in an image. After the removal of the object, the object removal algorithm regenerates the area in the image from which the object was removed, similar to photoshop. We developed an algorithm in MATLAB that accesses the features of the macroblocks from the region that adjoins the removed object and correlates these macroblocks with the actual area that is regenerated. The SSIM (structural similarity index) score is calculated by comparing the ground truth with the image generated from image reconstruction after removal of the object. Finally, we calculate the artifact area present in the regenerated region to determine the algorithm quality. To validate this method, the authors compare a 3 rd-party object removal solution with an in-house developed solution using the proposed approach. This comparison shows that the SSIM score is 1.55% higher than the 3 rd-party solution and 26.3% lower in artifact areas. Besides the results, this paper also describes in detail the procedure to automate the use case of object removal test automation to scale up the test coverage. INDEX TERMS Software engineering, software testing, image processing, image restoration, multimedia.

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Section: Background and Related Workmentioning

confidence: 99%

Object Removal Software Test Automation

Banerjee

Aggarwal

2020

IEEE Access

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“…Procedures, of the operation that was autonomous, may be accommodated in an assortment of construction tasks [7].As progress of the building procedure are the endeavor into their near future advancements insure worker security anatomy engineering, design plans, improvement tracking, and production details that are spread. Numerous strategies of incorporating the utilization of robots and humans within structure areas have been introduced [8]. In constructing roads: Likewise cracks seal and could fill jogging across the street, such as between also the shoulder and lanes.…”

Section: Automationmentioning

confidence: 99%

Robotics in Construction: Opportunities and Challenges

2019

IJRTE

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Building and construction is one of the major industries around the world. Construction industry is labour-intensive and is conducted in dangerous situations; therefore the importance of construction robotics has grown rapidly. Applications and activities of robotics and automation in this industry started in the early 90s aiming to optimize equipment operations, improve safety, enhance perception of workspace and furthermore, ensure quality environment for building occupants. The main goal of this paper is to convince building designers and managers to incorporate robotic systems when managing modern buildings. This paper studies recent applications for robots and automation in the construction industry and sets opportunities and challenges through a new framework for better planning and control of construction equipment operation.

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“…The ever-improving capabilities of such systems, on the other hand, lead to an overall increase in asset integrity and lifecycle, resulting in further long-term savings. Safety is another key advantage of automated NDE systems, as they can be deployed in hazardous environments, dangerous conditions and sites where human access is limited or not possible [ 4 , 5 ], thus improving working conditions and reducing the risks of workplace injuries and harmful substance exposure [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

Sensor-Enabled Multi-Robot System for Automated Welding and In-Process Ultrasonic NDE

Vasilev

MacLeod

Loukas

et al. 2021

Sensors

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The growth of the automated welding sector and emerging technological requirements of Industry 4.0 have driven demand and research into intelligent sensor-enabled robotic systems. The higher production rates of automated welding have increased the need for fast, robotically deployed Non-Destructive Evaluation (NDE), replacing current time-consuming manually deployed inspection. This paper presents the development and deployment of a novel multi-robot system for automated welding and in-process NDE. Full external positional control is achieved in real time allowing for on-the-fly motion correction, based on multi-sensory input. The inspection capabilities of the system are demonstrated at three different stages of the manufacturing process: after all welding passes are complete; between individual welding passes; and during live-arc welding deposition. The specific advantages and challenges of each approach are outlined, and the defect detection capability is demonstrated through inspection of artificially induced defects. The developed system offers an early defect detection opportunity compared to current inspection methods, drastically reducing the delay between defect formation and discovery. This approach would enable in-process weld repair, leading to higher production efficiency, reduced rework rates and lower production costs.

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Automating High-Precision X-Ray and Neutron Imaging Applications With Robotics

Cited by 18 publications

References 15 publications

Object Removal Software Test Automation

Object Removal Software Test Automation

Robotics in Construction: Opportunities and Challenges

Sensor-Enabled Multi-Robot System for Automated Welding and In-Process Ultrasonic NDE

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