{"id":28964,"date":"2023-05-24T14:52:19","date_gmt":"2023-05-24T04:52:19","guid":{"rendered":"https:\/\/ancold.org.au\/?post_type=product&p=28964"},"modified":"2023-05-24T14:52:20","modified_gmt":"2023-05-24T04:52:20","slug":"2022-how-digital-inspections-and-ai-deep-learning-algorithms-can-enhance-knowledge-and-reduce-dam-safety-risk","status":"publish","type":"product","link":"https:\/\/ancold.org.au\/product\/2022-how-digital-inspections-and-ai-deep-learning-algorithms-can-enhance-knowledge-and-reduce-dam-safety-risk\/","title":{"rendered":"2022 – How digital inspections and AI – Deep Learning algorithms can enhance knowledge and reduce dam safety risk"},"content":{"rendered":"
Fabry Pierre-Marin – Sixense Engineering – France, Elisabeth Gardon – Sixense Mapping \u2013 France, Eric Audig\u00e9 – Sixense Oceania – Australia <\/strong><\/p>\n The digitisation of assets for the creation of digital twins is a big step towards improving understanding and management of infrastructures. Nevertheless, the large volume of quantitative data collected can be difficult to exploit due to its size and complexity. Artificial intelligence algorithms (AI) are used to facilitate interpretation of inspections by highlighting the changes. When this analysis is carried out on the whole of an asset, it offers a larger perspective of the state of the structure.<\/p>\n","protected":false},"excerpt":{"rendered":" Fabry Pierre-Marin – Sixense Engineering – France, Elisabeth Gardon – Sixense Mapping \u2013 France, Eric Audig\u00e9 – Sixense Oceania – Australia The digitisation of assets for the creation of digital twins is a big step towards improving understanding and management of infrastructures. Nevertheless, the large volume of quantitative data collected can be difficult to exploit […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false},"product_cat":[3493,22],"product_tag":[3594,3342,3593,3345],"acf":[],"yoast_head":"\n