This page provides you with the latest reports and analysis published in the InnoDrone project.
Concrete Cracks Detection Based on Deep Learning Image Classification
The following report "Concrete Cracks Detection Based on Deep Learning Image Classification" is published by Danish Technological Institute in June 2018. The report is written in English.
The report describes how they have developed a machine learning-based model to detect cracks on concrete surfaces.
Clich HERE to read the report.
Options and challenges in the offshore/energy and environmental sector
The following report "Options and challenges in the offshore/energy and environmental sector" is published by the Innovation Network InifinIT in October 2017. The report is written in Danish.
The report is about how Danish companies are noticing the usage possibilities for uavs and that uav services are still a wanted product. However, the uav can't be fully utilized until the level of specialization is increased. The focus is on the use of uav in the offshore and environmental fields.
Click here to read the report on InfinIT's webpage.
Demand and potentials for the use of drone technology in the offshore sector
The following analysis "Demand and potentials for the use of drone technology in the offshore sector" was carried out by Oxford Research. The analysis was commissioned by The Region of Southern Denmark and is written in Danish. It is published in January 2017.
The analysis focuses on the demand and potentials regarding the use of drones in the Danish offshore sector (oil/ gas and wind). The aim of this analysis is to investigate how the Danish offshore sector can increase the benefits from Danish drone operators and related technological suppliers.
Click here to read the analysis on Offshoreenergy's webpage.