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BENTLY 289761-01

  • 付款方式:电汇
    可售卖地:全球
    产品特点:一个混合集成平台,它汇集了一套全面的集成组件,这些组件经过设计和优化后可协同工作,部署在Red Hat OpenShift上。
    使用说明:集成产品传统上被部署为中间件基础设施。它们构建复杂,难以部署和保持运行。部署后,重点是保持集成运行不变,因为使用集成的每个业务功能都将与it紧密耦合,并依赖于不变的、一成不变的部署。
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BENTLY 289761-01

针对船舶行业的机器人视觉分拣方案是海克斯康创新研发的重要成果表现,它融合了基于深度学习的目标识别技术、基于OCR的识别技术、机器人路径规划技术等,不仅对于船舶行业零部件检测带来了革命级的技术进步,也为海克斯康后续赋能各行各业数字化转型储备了技术能力。
虽然航空航天质量控制工作流程在过去十年里发生了很大的变化,但由于更复杂部件的开发、更严格的公差要求、以及生产力的压力,检测效率仍然是该行业面临的一个挑战。
究其原因,检测过程往往是阻碍产量优化的过程。

越来越多的航空部件制造商和飞机维护、修理和检修(MRO)公司正在转向自动化质量控制解决方案,以加快检测周期,同时确保生产部件的结构完整性。

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BENTLY 289761-01

The robot vision sorting solution for the shipbuilding industry is an important achievement of Hexconn's innovative research and development. It integrates deep learning based target recognition technology, OCR based recognition technology, robot path planning technology, etc. It not only brings revolutionary technological progress to component detection in the shipbuilding industry, but also reserves technical capabilities for Hexconn to empower various industries to undergo digital transformation in the future.

Although the aerospace quality control workflow has undergone significant changes in the past decade, testing efficiency remains a challenge for the industry due to the development of more complex components, stricter tolerance requirements, and productivity pressures.


The reason for this is that the detection process is often a process that hinders yield optimization.


More and more aviation component manufacturers and aircraft maintenance, repair, and overhaul (MRO) companies are shifting towards automated quality control solutions to accelerate inspection cycles while ensuring the structural integrity of production components.



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