EvoLogics | AI-based Technologies

Solution

AI Technologies

● AI-based systems enable automatic object detection and collision-free navigation for EvoLogics autonomous vehicles. Optimized for the limited resources of uncrewed platforms, all processing is performed onboard and in real time, providing responsive awareness for safe and reliable missions.

With adaptive AI, operators benefit from faster, more accurate surveys, reduced human intervention, and enhanced mission safety, while maximizing vehicle performance.

AI Technologies

Object recognition

The AI-based Object Recognition (OR) system is an additional module that runs directly onboard the autonomous vehicle and analyzes raw side-scan sonar and video camera feed. Objects of interest are detected and visually highlighted in the operator’s control software - all in real time during the mission.

A cloud-based ecosystem supports the OR system with regular updates and new detectable object classes. To keep recognition capabilities aligned with the evolving operational needs, the cloud service welcomes user contributions, enabling dataset uploads and requests to train the system for objects contained in the scans.

Underwater view of a diver’s blue fin kicking near a submerged structure.

AI Technologies

Addressing the challenge

Recognizing objects in side scan sonar visuals traditionally requires extensive training and experience, as operators must notice and interpret subtle cues in contours and shadows. One often needs to perform multiple passes to collect data from different angles. Thus, a survey can be very time-consuming and tiring for the operator who is often working under pressure, outdoors, and in poor weather.

To address the challenges of locating and identifying submerged assets, EvoLogics developed a system for automatic object recognition in data collected by our autonomous vehicles.

Our AI-based solution uses neural network algorithms designed to process side-scan sonar and video data, handle large data volumes in real time, and run efficiently on dedicated embedded hardware - since cloud computing is not available in open waters. Our pre-trained models cover a wide range of objects relevant to key customer groups. The system is ready to use out of the box, and additional training is available to expand its object recognition capabilities.

Extensively tested with our selected partners, the Object recognition system is available as an add-on option for all EvoLogics commercial vehicles - including the Sonobot 5 USV and the Quadroin AUV.

AI Technologies

Object Recognition - Key features

Sonar image showing underwater cliffs with a detected airplane highlighted in a red box on the left side.

Real-time object recognition

Raw side-scan sonar and video data is analyzed on the fly onboard the vehicle
Optimized performance - detecting objects in less than a second
Advanced neural network algorithms process high-volume sonar and video data on dedicated embedded hardware

Underwater view of a scuba diver examining a lobster cage on a sandy ocean floor.

Expanding range of object classes

Use our existing object library
Leverage a cloud-based service platform that regularly adds detectable object classes
Add your own objects - perform scans and submit your data for AI training

Laptop screen displaying a mission control dashboard with mission statistics and recent missions listed, including locations in Portugal and Berlin.

Cloud-based services

Regular updates for the on-board software module
Create new object classes by submitting your scans for analysis and AI training
Choose to share your object classes within the OR cloud ecosystem or restrict them for private use
Military-grade data security ensures full protection of all uploaded datasets

Underwater scene with multiple fish identified and labeled with bounding boxes as 'Common Nase' and 'Goldfish' along with confidence scores.

Side-scan sonar and video feed integration

Works seamlessly with raw side-scan sonar output and video feeds from onboard cameras.
The same hardware and software modules efficiently handle both data types.

White underwater vehicle with a transparent orange dome descending into deep blue water, trailing bubbles toward the surface.

Compatible with all EvoLogics vehicles

Sonobot 5 USV
Uncrewed autonomous vehicles - Quadroin AUV, Poggy AUV
Available as a hardware and software upgrade for existing Sonobot USVs

AI Technologies

Obstacle Avoidance System

Ensuring safe navigation in dynamic environments is critical for autonomous marine vehicles. The AI-powered obstacle avoidance system enables our USVs and AUVs to detect and avoid obstacles in real time, maintaining mission efficiency while minimizing risk.

Three computer monitors in a dark room showing underwater scenes on the sides and a satellite or drone map with overlays on the center screen.

AI Technologies

Obstacle Avoidance System – Key Features

Front view of a black underwater drone with two large pontoons, camera, and three antennas against a light background.

Depending on the vehicle's configuration, the system integrates data from an underwater front-looking sonar, an overwater stereo camera, and a LiDAR sensor to continuously monitor the surroundings and trigger automatic maneuvers that prevent collisions. Built on advanced neural network algorithms, the system processes sensor data onboard, generating actionable navigation decisions to protect both the vehicle and the operational environment.

Contact

Configuring your system with AI modules

Our experts are here to help you configure a vehicle with AI systems to meet your operational needs.

Get in touch and share your project requirements – let’s design the optimal vehicle setup for your missions.

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Man operating remote sensing software on a Lenovo laptop outdoors.