[{"data":1,"prerenderedAt":38},["ShallowReactive",2],{"repo-ai-based-windturbine-inspection-blogpost":3},{"id":4,"title":5,"contributors":6,"date":8,"description":9,"diagram":10,"extension":11,"framework":12,"gitHub":14,"introBox":17,"language":22,"meta":24,"resources":25,"services":26,"simplicity":33,"stem":34,"type":35,"usecase":36,"__hash__":37},"repos\u002Frepos\u002Fai-based-windturbine-inspection-blogpost.json","AI Driven Visual Inspection of Wind Turbines",[7],"content\u002Fcontributors\u002Fburak-gozluklu.json","2023-07-13","This shows how to use AWS Machine Learning for visual inspection augmented with serverless technologies.","\u002Fassets\u002Fimages\u002Frepos\u002Fai-based-windturbine-inspection-blogpost.png","json",[13],"AWS SAM",{"template":15},{"repoURL":16},"https:\u002F\u002Fgithub.com\u002Faws-samples\u002Fai-based-windturbine-inspection-blogpost",{"headline":18,"text":19},"AI-Driven Visual Inspection of Wind Turbines Based on Drone Imaging",[20,21],"Keeping wind turbines operational also means keeping them well maintained. One of the steps in maintenance is regular visual inspection. This  post will demonstrate how to use Machine Learning on AWS for visual inspection augmented with serverless technologies to build an automated process based on a custom business logic.","You will employ Amazon Rekognition Custom Labels to identify objects and scenes specific to your case. We also discuss important metrics regarding AI\u002FML-based inspection. Finally,the AWS Serverless Application Model (AWS SAM) will help youto deploy an event-driven solution that builds the business logic on top of Amazon Rekognition findings.",[23],"Python",{},null,[27,28,29,30,31,32],"dynamodb","iot","lambda-event-functions","rekognition","s3","sns","300","repos\u002Fai-based-windturbine-inspection-blogpost","Workshop","Backend","i8LRdzx04B9kuJTBsMUjXlhoRau8Hb1lifRjC1BwhgU",1792665263261]