- Octopus Self-Cleaning Camera
View Into The Blue designed and built a system to monitor offshore subsea materials and equipment testing at A60N’s Subsea Test and Research (STAR) Lab. Installed offshore in partnership with A60N the live stream debuted at the annual Australasian Oil and Gas Exhibition and Conference (AOG). A60N’s Managing Director, Paul Georgeson, spoke at the event about strategies to lower new technology implementation risks and efficiently solve long term historical problems related to the operation of subsea equipment.
AOG marked the opening of A60N’s Subsea Test and Research Lab. STAR Lab is located in Fremantle, Western Australia, and is the original Carnegie Wave Energy test facility. The installation took four days, and was a collaborative effort between the VITB and A60N teams as well as the senior engineer at Carnegie, Daniel Taylor. The VITB camera system and multiplexer were deployed on individual sinkers offshore. The cabling led from the STAR Lab facility, under the road through conduit, and out through a pipe off the breakwater. Finally, a team of commercial divers from Total Australian Marine Solutions (TAMS) deployed and cabled the system offshore. The public footage from the installation is available on the VITB website.
The VITB camera system will enable A60N to monitor biofouling rates, corrosion, and other testing in extremely harsh Australian conditions. In the coming months, computer vision algorithms will be applied to video data to more closely monitor biofouling, environmental conditions, and other testing variables.
VITB and A60N share the common goal of solving a vast array of subsea problems. VITB’s President and Director of Research and Technologies, Trevor Mendelow, said of the project and partnership, “This is an exciting time in environmental and system monitoring in the age of the internet of things. The pace of technology development and artificial intelligence solutions will allow industries like Oil and Gas to realize considerable savings and prevent environmental disasters with sophisticated predictive maintenance and anomaly detection.”