Boxfish Robotics

Inspecting tunnels in zero visibility presents a significant challenge. Unknown geometry, confined access and the inability to rely on camera-based inspection make conventional methods ineffective.

During a recent inspection, Deep Dive Division deployed a Boxfish ROV to assess a 163‑metre tunnel in near zero visibility conditions, using imaging sonar for controlled navigation and pipe profiling sonar to capture continuous cross‑sectional data along the full length.

The resulting dataset was reconstructed into a full 3D model, providing a clear representation of tunnel geometry, sediment accumulation and structural condition. Combined with Deep Dive Division’s multidisciplinary expertise, this enabled clear and actionable insight into the asset.

Full case study link in the comments.

Content prepared in collaboration with Deep Dive Division.

Operating a hovering AUV close to the seabed delivers the image quality and repeatability scientists and inspectors need, but it also places the vehicle in the most challenging part of the environment. Infrastructure, natural relief, moorings, debris and biological structures can all become collision risks during low altitude surveys.

In our recent blog, we break down how the Boxfish AUV performs obstacle avoidance during low altitude surveys, illustrating how sensing and onboard autonomy allow the vehicle to adapt its path and altitude.

How Does Boxfish AUV Obstacle Avoidance Work Learn how Boxfish AUV obstacle avoidance works using DVL‑based awareness and stereo cameras, and why it is critical for safe, repeatable environmental surveys.