CASE STUDIES
How Marine AI’s Guardian Mission Management software has been applied to marine projects.
CASE STUDY 1
Integrating Underwater Obstacle Detection with Guardian AI
Background
Navigating complex underwater environments, particularly in aquaculture farms, presents unique challenges due to the unpredictable nature of obstacles. Traditional navigation systems have often relied on large, costly sensors and complex algorithms that struggle to handle unexpected hazards, leading to operational inefficiencies and potential safety risks.
The Solution
Marine AI NZ has revolutionised underwater navigation with its advanced obstacle detection system, integrated with Guardian AI. This cutting-edge solution combines acoustic sensors and digital image processing to offer real-time identification of obstacles and dynamic course adjustment.
The system empowers Guardian AI to provide:
Accurate Obstacle Detection: Analyse sonar images to detect obstacles with precision.
Obstacle Data Relay: Communicate the size and position of obstacles to Guardian AI.
Dynamic Path Planning: Allow Guardian AI to autonomously reroute the vehicle to avoid hazards and maintain mission progress.
Impact
Marine AI NZ’s innovative approach results in safer, more efficient underwater operations by ensuring AUVs can navigate challenging environments without human intervention. By integrating with Guardian AI, this solution marks a leap forward in the technology behind AUV mission autonomy.
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