Palantir - Real time inspection and assessment of wind turbine blade health

Palantir项目将解决与检查风力涡轮机叶片相关的成本、环境和健康风险。Palantir项目将开发一个由视觉和声学传感器组成的遥感电子包，并将利用先进的机器视觉和机器学习分析来连续自动监测风力涡轮机叶片的状态。该项目的主要受益者将是Braendler Engineering，这是一家总部位于英国的领先检测系统和数据分析提供商，该公司基于先进的机器视觉和机器学习技术。布里斯托大学将为该项目开发机器视觉系统的关键方面，ORE Catapult将在其世界一流的测试设施中测试和演示Palantir产品。

The Palantir project will address the cost, environmental and health risks associated with carrying out inspections of wind turbine blades. The Palantir project will develop a remote sensing electronic package consisting of visual and acoustic sensors and will utilize advanced machine vision and machine learning analytics to continuously and automatically monitor the state of wind turbine blades. The main beneficiary of the project will be Braendler Engineering, a leading UK headquartered provider of inspection systems and data analytics which are based on advanced machine vision and machine learning technology. The University of Bristol will develop key aspects of the machine vision systems for this project, and ORE Catapult will test and demonstrate the Palantir product at its world class test facilities.