MAQVIS: a low-cost flexible industrial-inspection-system

1995 ◽  
Author(s):  
Roger Davies ◽  
Fernando D. Carvalho ◽  
Jose C. A. Freitas ◽  
Fernando C. Rodrigues
Keyword(s):  
Low Cost ◽  
Inspection System ◽  
Industrial Inspection

scholarly journals A Cotton Module Feeder Plastic Contamination Inspection System

2020 ◽  
Vol 2 (2) ◽  
pp. 280-293
Author(s):  
Mathew G. Pelletier ◽  
Greg A. Holt ◽  
John D. Wanjura
Keyword(s):  
Mechanical Design ◽  
Low Cost ◽  
Processing System ◽  
Technical Note ◽  
Inspection System ◽  
Learning Program ◽  
Cotton Lint ◽  
Cotton Industry ◽  
Bill Of Materials ◽  
The U.S

The removal of plastic contamination in cotton lint is an issue of top priority to the U.S. cotton industry. One of the main sources of plastic contamination showing up in marketable cotton bales, at the U.S. Department of Agriculture’s classing office, is plastic from the module wrap used to wrap cotton modules produced by the new John Deere round module harvesters. Despite diligent efforts by cotton ginning personnel to remove all plastic encountered during unwrapping of the seed cotton modules, plastic still finds a way into the cotton gin’s processing system. To help mitigate plastic contamination at the gin; an inspection system was developed that utilized low-cost color cameras to see plastic on the module feeder’s dispersing cylinders, that are normally hidden from view by the incoming feed of cotton modules. This technical note presents the design of an automated intelligent machine-vision guided cotton module-feeder inspection system. The system includes a machine-learning program that automatically detects plastic contamination in order to alert the cotton gin personnel as to the presence of plastic contamination on the module feeder’s dispersing cylinders. The system was tested throughout the entire 2019 cotton ginning season at two commercial cotton gins and at one gin in the 2018 ginning season. This note describes the over-all system and mechanical design and provides an over-view and coverage of key relevant issues. Included as an attachment to this technical note are all the mechanical engineering design files as well as the bill-of-materials part source list. A discussion of the observational impact the system had on reduction of plastic contamination is also addressed.

The Commercialization of University and Research Institutes’ Science-Based Innovations: The Four Successful Chinese Cases

2018 ◽  
Vol 03 (03) ◽  
pp. 1850013 ◽  
Author(s):  
Yacheng Yang ◽  
Hong Chen ◽  
Qingzhi Zhang ◽  
Jiasu Lei
Keyword(s):  
Development Strategy ◽  
Financial Incentives ◽  
High Performance ◽  
Low Cost ◽  
Global Market ◽  
Inspection System ◽  
Policy Enforcement ◽  
Innovative Strategy ◽  
Low Cost Strategy ◽  
Business Acumen

Science empowers as a nation’s toughest weapon in the future global competition and cooperation. A large number of countries listed in-house R&D for science-based innovations as their core development strategy in the next decade. This paper conducts multi-case analysis on four science-based innovations in China as a reference for how a new science-based venture superseded in global market and developed indigenous capability to generate much business value as well as scientific value. The four cases detailed are container inspection system, hot redundant JX-100 DCS, high-performance Dawning supercomputers and Chinese-character laser phototypesetting system. We concluded that the successful commercialization of a nationwide and grand scientific project requires the following: (1) visionary scientists’ solid authority, direct participation, business acumen and a strong sense of patriotism, without intermediaries, are the core for successful science-based innovation and commercialization during knowledge transformation; and (2) the powerful and direct support from the policymakers. Forms of support may vary from financial incentives, policy enforcement and endorsement. The consequences for the success of science-based innovations are the creation of highly-skilled manpower, new market as well as shifting away from low-cost strategy to innovative strategy.

A Novel Autonomous Inspection System of USV for Submarine Buried Pipeline

2019 ◽  
Vol 53 (3) ◽  
pp. 90-95
Author(s):  
Lei Gao ◽  
Hai-Tao Gu ◽  
Hong-li Xu
Keyword(s):  
Conventional Method ◽  
Low Cost ◽  
Quadratic Functions ◽  
Inspection System ◽  
Submarine Pipeline ◽  
Data Set ◽  
Surface Vessels ◽  
Submarine Buried Pipeline ◽  
Embedded Algorithms ◽  
Subbottom Profiling

AbstractThe conventional method of surveying utilizing manned vessels requires a large investment of labor-intensive and time-consuming efforts. With the phenomenal progress of unmanned surface vessels (USVs), they have become a useful tool for surveyors and engineers who have been seeking a more productive and low-cost method as an alternative. This paper depicts a novel design of USVs for autonomous detection and recognition of buried submarine pipeline. The design adopted a parametric subbottom profiling system with embedded algorithms for path planning, autonomous obstacle avoidance, and autonomous pipeline recognition and navigation. The pipeline detection is based on the analysis of quadratic functions generated by the subbottom data set. Compared to the conventional method, the use of USVs equipped with subbottom profiling system turns out to be more useful and efficient for accurate detections of submarine pipeline.

Robotic inspection of ship hull surfaces using a magnetic crawler and a monocular camera

Sensor Review ◽  
2017 ◽  
Vol 37 (4) ◽  
pp. 425-435 ◽  
Author(s):  
Annalisa Milella ◽  
Rosalia Maglietta ◽  
Massimo Caccia ◽  
Gabriele Bruzzone
Keyword(s):  
Visual Inspection ◽  
Low Cost ◽  
New Technology ◽  
Experimental Tests ◽  
Ship Hull ◽  
Inspection System ◽  
Content Type ◽  
Monocular Camera ◽  
Mosaic Image ◽  
Automatic Visual Inspection

Purpose Periodic inspection of large tonnage vessels is critical to assess integrity and prevent structural failures that could have catastrophic consequences for people and the environment. Currently, inspection operations are undertaken by human surveyors, often in extreme conditions. This paper aims to present an innovative system for the automatic visual inspection of ship hull surfaces, using a magnetic autonomous robotic crawler (MARC) equipped with a low-cost monocular camera. Design/methodology/approach MARC is provided with magnetic tracks that make it able to climb along the vertical walls of a vessel while acquiring close-up images of the traversed surfaces. A homography-based structure-from-motion algorithm is developed to build a mosaic image and also produce a metric representation of the inspected areas. To overcome low resolution and perspective distortion problems in far field due to the tilted and low camera position, a “near to far” strategy is implemented, which incrementally generates an overhead view of the surface, as long as it is traversed by the robot. Findings This paper demonstrates the use of an innovative robotic inspection system for automatic visual inspection of vessels. It presents and validates through experimental tests a mosaicking strategy to build a global view of the structure under inspection. The use of the mosaic image as input to an automatic corrosion detector is also demonstrated. Practical implications This paper may help to automate the inspection process, making it feasible to collect images from places otherwise difficult or impossible to reach for humans and automatically detect defects, such as corroded areas. Originality/value This paper provides a useful step towards the development of a new technology for automatic visual inspection of large tonnage ships.

Development and implementation of a robotic inspection system for power substations

2017 ◽  
Vol 44 (3) ◽  
pp. 333-342 ◽  
Author(s):  
Haojie Zhang ◽  
Bo Su ◽  
Hong Meng
Keyword(s):  
Radio Frequency Identification ◽  
Low Cost ◽  
Recognition Rate ◽  
Weather Condition ◽  
Robotic System ◽  
Inspection System ◽  
Content Type ◽  
Substation Equipment ◽  
Alarm Message ◽  
Power Substations

Purpose With the dramatically increasing number of substations, robots are expected to inspect equipment in the power industry. However, a traditional robotic system cannot work stably because of the strong electromagnetic field in substation. The purpose of this paper is to present a robust and stable robotic system for inspecting the substation equipment without the involvement of workers. Design/methodology/approach The paper presents in detail a robotic system that consists of a monitor center and a robot. With the monitor center, the workers could send inspection tasks and monitor status of the robot timely. Once a fault is detected, the alarm message will flash immediately to remind the workers. The patrol mode of the robot comprises teleoperation, regular inspection, special inspection and a key return mode. The robot only relies on a low-cost magnetic sensor for lateral positioning and radio frequency identification technology for longitudinal positioning when working under patrol mode. At each stop point, the substation equipment can be recognized quickly through accurate matching with the template image stored in the database. Findings It is shown that the robot could work efficiently and reliably in power substations. The positioning error is proved to be within 5 mm, compared to that of 20 cm by implementing integrated global positioning system-dead reckoning navigation. Because of the high positioning accuracy, it is much easier to recognize the substation equipment. It is observed that nearly 99 per cent of equipments can be recognized. Research limitations/implications The proposed robotic system is tested in a simple substation environment. While the proposed system shows satisfactory positioning results, further studies considering changeable weather condition will focus on improving the equipment recognition rate in such environment, such as rainy, snowy and strong sunlight. Practical implications The key contribution of this paper is that it provides a robotic system to inspect substation equipment instead of workers, to improve working efficiency and to reduce manpower cost. Originality/value This paper presents a robotic system to inspect substation equipment instead of workers. Four patrol modes are designed to meet the inspection demand. Comparing with the previous robotic systems, this system contributes to higher position accuracy and higher equipment recognition rate.

A Parallel Genetic Algorithm for Optimizing an Industrial Inspection System

2013 ◽  
Vol 11 (6) ◽  
pp. 1338-1343 ◽  
Author(s):  
Francisco Gonzalez Bulnes ◽  
Ruben Usamentiaga ◽  
Daniel Fernando Garcia ◽  
Julio Molleda
Keyword(s):  
Genetic Algorithm ◽  
Inspection System ◽  
Parallel Genetic Algorithm ◽  
Industrial Inspection

ROSI: A Robotic System for Harsh Outdoor Industrial Inspection - System Design and Applications

2021 ◽  
Vol 103 (2) ◽  
Author(s):  
Filipe Rocha ◽  
Gabriel Garcia ◽  
Raphael F. S. Pereira ◽  
Henrique D. Faria ◽  
Thales H. Silva ◽  
...  
Keyword(s):  
System Design ◽  
Robotic System ◽  
Inspection System ◽  
Industrial Inspection

scholarly journals A Parametric Study of a Drive by Bridge Inspection System Based on the Morlet Wavelet

2013 ◽  
Vol 569-570 ◽  
pp. 262-269 ◽  
Author(s):  
Patrick J. McGetrick ◽  
Chul Woo Kim
Keyword(s):  
Parametric Study ◽  
Low Cost ◽  
Damage Index ◽  
Morlet Wavelet ◽  
Inspection System ◽  
Vehicle Speed ◽  
Bridge Management ◽  
Damage Level ◽  
Safety Issues ◽  
Morlet Wavelet Transform

Many of the bridges currently in use worldwide are approaching the end of their design lives. However, rehabilitating and extending the lives of these structures raises important safety issues. There is also a need for increased monitoring which has considerable cost implications for bridge management systems. Existing structural health monitoring (SHM) techniques include vibration-based approaches which typically involve direct instrumentation of the bridge and are important as they can indicate the deterioration of the bridge condition. However, they can be labour intensive and expensive. In the past decade, alternative indirect vibration-based approaches which utilise the response of a vehicle passing over a bridge have been developed. This paper investigates such an approach; a low-cost approach for the monitoring of bridge structures which consists of the use of a vehicle fitted with accelerometers on its axles. The approach aims to detect damage in the bridge while obviating the need for direct instrumentation of the bridge. Here, the effectiveness of the approach in detecting damage in a bridge is investigated using a simplified vehicle-bridge interaction (VBI) model in theoretical simulations and a scaled VBI model in a laboratory experiment. In order to identify the existence and location of damage, the vehicle accelerations are recorded and processed using a continuous Morlet wavelet transform and a damage index is established. A parametric study is carried out to investigate the effect of parameters such as the bridge span length, vehicle speed, vehicle mass, damage level and road surface roughness on the accuracy of results.

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