首页|Patent Issued for Systems, methods, and apparatus for ultra-sonic inspection of a surface (USPTO 11971389)

Patent Issued for Systems, methods, and apparatus for ultra-sonic inspection of a surface (USPTO 11971389)

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From the background information supplied by the inventors, news correspondents o btained the following quote: “The present disclosure relates to robotic inspecti on and treatment of industrial surfaces.” Supplementing the background information on this patent, NewsRx reporters also o btained the inventors’ summary information for this patent: “Previously known in spection and treatment systems for industrial surfaces suffer from a number of d rawbacks. Industrial surfaces are often required to be inspected to determine wh ether a pipe wall, tank surface, or other industrial surface feature has suffere d from corrosion, degradation, loss of a coating, damage, wall thinning or wear, or other undesirable aspects. Industrial surfaces are often present within a ha zardous location-for example in an environment with heavy operating equipment, o perating at high temperatures, in a confined environment, at a high elevation, i n the presence of high voltage electricity, in the presence of toxic or noxious gases, in the presence of corrosive liquids, and/or in the presence of operating equipment that is dangerous to personnel. Accordingly, presently known systems require that a system be shutdown, that a system be operated at a reduced capaci ty, that stringent safety procedures be followed (e.g., lockout/tagout, confined space entry procedures, harnessing, etc.), and/or that personnel are exposed to hazards even if proper procedures are followed. Additionally, the inconvenience , hazards, and/or confined spaces of personnel entry into inspection areas can r esult in inspections that are incomplete, of low resolution, that lack systemati c coverage of the inspected area, and/or that are prone to human error and judge ment in determining whether an area has been properly inspected.

BusinessEmerging TechnologiesGecko R obotics IncMachine LearningRobotRobotics

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(MAY.21)