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making, by which the con? dence in these decisions is com-

Recent innovations in highly capable small vehicle pletely dependent on the quality of the input data. Though platforms, miniaturized sensor technologies, and advanced laser scanning and stills imaging has always delivered real- time data when compared to photogrammetry, the output can sensor autonomy provide the building blocks to achieve the vary with environmental conditions, and machine learning future vision of fully remote operations. But true autonomy is most robust with consistent datasets. It is therefore im- is not achieved in isolation, it will require surveyors, vehicle perative that the sensors themselves add real-time processing designers, and sensor manufacturers all working together capability to enable dependable automation.

in partnership to overcome the challenges, and together,

Voyis is delivering on these requirements by both remov-

Illuminate the Unknown.

ing noise from point cloud data with advanced ? ltering al- gorithms, and instantly enhancing and correcting images as they are collected. Our robust machine-learning-based colour correction algorithms help us to see consistent true- colour photos of subsea targets.

When combined with navigational data, it is possible to deliver real-time geo-corrected laser models, and consistent images across incredibly long surveys. This uniformity pro- duces wide area consistent image mosaics without variations in quality from image to image. Adding onboard analysis software, like EIVA’s Onboard Deep Learning, enables the automated detection of pipeline defects and features, to dras- tically reduce analysis time.

Image courtesy VOYIS

Miniaturization into Complete Solutions

The ? nal and most signi? cant challenge in subsea opera-

HMS-620 BUBBLE GUN tions has remained constant, the cost and inaccessibility of

MARINE SEISMIC SYSTEM ocean exploration. For our future to see a proliferation of optical sensors documenting our oceans, these high-resolu- APPLICATIONS tion sensors must be delivered in packages suitable for small, ?ŽA?lAuYOsYGG?sYO low-cost vehicle platforms that lessen the required deploy- ?^SAuuŽ?'A?,A?A?E^??|G?

ment infrastructure. The level of complexity now demanded ?'GŽlGÐSYsÐAu/Y|G?OOAOŽY requires not just piecemeal sensors, but complete payload ?Ki?SŽ?GtsYEd??dsYG solutions with synergistic integrations between sensors, nav- ?Aw^slG^??|G??

igation solutions, and vehicle platforms.

To this end, Voyis has launched the Recon line of AUV pay- ?^AYEZG?Ž??ÐG/Y|G?OOAOŽY loads, developed in partnership with vehicle manufacturers for common platforms like the HII REMUS 100 and L3Har- ris IVER 4.

More than 3000

The hydrodynamic modules mount in-line with the vehicle

Shot Samples

Phase & Amplitude using standard mechanical interfaces, connect to existing tA|GuGlŽ??GuAOŽY?????

HMS-620D electrical inputs, and are controlled with the vehicle’s mis- sion planning interface. All data can be saved to the pay-

Sand Reclamation Data Collected Using HMS-620 load’s onboard hard drive to simplify data management and

Courtesy URI Graduate School of Oceanography the vehicle’s navigational data is accessed automatically to geotag images and spatially correct 3D laser data to improve target localization.

Optical payloads are now being combined with side-scan sonar from Wavefront, onboard deep learning from EIVA, and a contactless cathodic protection system from Ocean )DOPRXWK6FLHQWL¿F,QF

Floor Geophysics to deliver application speci? c payloads. 3RFDVVHW0$86$

This reduces barriers to adoption and makes it easier than 7HO?)D[ ever before for surveyors to adopt new survey technology.

VDOHV#IDOPRXWKFRP?ZZZIDOPRXWKFRP www.marinetechnologynews.com 57

MTR #7 (50-65).indd 57 9/22/2021 3:03:13 PM

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