SUBSEA TECHNOLOGY
decision-making eff iciency for underwater operations.
“A clearer vision underwater off ers signifi cant advantages for [oil and gas] operators,” the Qysea technical team tells IME. “This includes enhanced visual data for detailed assessments, optimised time and cost eff iciency of inspections, as well as increased diver safety when monitoring
underwater maintenance operations.”
The E-Go has a UNDERWATER modular design ALGORITHMS
FISHEYE VIEW T
A
An AI fi lter that signifi cantly enhances underwater visuals
he need for frequent inspection and maintenance is greater than ever with the increase in off shore oil and gas facilities.
Underwater robots, whether remotely operated underwater vehicles (ROVs) or autonomous underwater vehicles (AUVs), have proven to be an asset for off shore operators in these areas, creating a cost-eff icient solution that cuts out the need for humans to dive down to the seabed. However, to inspect the structures
placed on the seabed eff ectively, manufacturers must equip ROVs and AUVs with cameras that provide the best possible visuals. The better the visuals, the more informed operators will be when making decisions. This is something Chinese robotics
company Qysea Technology had in mind when developing its FiFish E-Go underwater robot. Developers at Qysea equipped the
robot with an industry-fi rst 176° ultra- wide fi sheye lens, delivering a 146° fi eld of vision underwater to capture a wide range of elements in a single frame. With a macro adjustment capability,
the FiFish E-Go focuses underwater at a 10cm distance, allowing for clear observation at extremely close distances, according to the company. It also features 10,000 lumens of underwater lighting and a 160° wide illumination angle, ensuring clarity under dark and turbid oceans.
AI-DRIVEN UNDERWATER OPERATIONS Qysea’s self-developed AI Vision Lock function enables FiFish to achieve adaptive stabilisation and locking of target objects underwater with a simple touch on a control screen. Furthermore, its AI plankton fi ltering algorithm automatically optimises visuals, ensuring clearer underwater scenes for professional underwater monitoring tasks. Its AI Dehazing Algorithm
The FiFish E-Go optimises visuals 52
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automatically identifi es and fi lters out the snowfl ake eff ect caused by underwater suspended particles, enhancing image clarity, and improving
The Qysea technical team explain that techniques such as dehazing, contrast enhancement, and natural color correction, mean these algorithms optimise underwater images, helping operators obtain better quality and more realistic
visuals for comprehensive inspections. When complimented by add-on
tools, FiFish can use traditional laser scaling and AI automation to measure underwater dimensions of objects accurately and eff iciently, identifying damaged areas in underwater structures, including oil and gas facilities off shore, with high precision, experts at Qysea say.
BUILT FOR PURPOSE Inspired by the hammerhead shark, E-Go’s biomimetic tail fi n stabilises the machine during underwater operations, minimising water fl ow disturbances. Additionally, the T-shaped fi n design enhances operator mobility, enabling swift one-handed handling and rapid deployment, according to Qysea. The E-Go also features a modular
design with detachable components for its motor, lighting, camera, and battery. Module replacement operators can restore the E-Go to its underwater operable state quickly. With extensive expansion capabilities, it can accommodate up to six tools simultaneously. Qysea claims that the new robotics
system will provide a wide range of subsea operations and scenarios with increased power and propulsion.
For more information visit
www.qysea.com
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