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Ensuring Accurate Detections and Predictions with AI

How does Orca AI's
technology work?

  • Data collection

    Fully Automated Data Pipeline

    A fully automated data pipeline with zero manual intervention that prioritizes, filters and synchronizes five years’ of sailing data collected from 200+ ships.

     

    • Uses a unique methodology that collects only data crucial for AI algorithm training.
    • Only 5% of all data is relevant for training in terms of maritime-sensitive operations.
    • Fuses raw data from navigation sensors such as GPS, Radar S/X band, AIS, Water depth, Wind, Rate-Of-Turn indicator, and Gyrocompass.
    Data collection illustration Data collection illustration
  • Data labelling

    Labeling Data for Optimal Accuracy

    All raw data is comprehensively labeled via a proprietary labeling system, which uses automated algorithms to ensure optimal accuracy.

     

    • The system’s algorithms boost human productivity by a factor of 10.
    • All scenario-relevant data is labeled: visibility conditions, congestion level, shore, clouds, and marine targets.
    • Detailed AI algorithm quality evaluation further improves AI performance.
    Data collection illustration Data collection illustration
  • Continuous algorithm assessment

    Evaluation

    We constantly evaluate the platform’s algorithmic predictions versus the real world, filtering false positives and providing optimal metrics for navigational efficiency.

     

    • Our tracking technology boosts performance using the ‘majority voting’ machine learning technique to increase prediction accuracy.
    • Tracker and filters achieve 99.9% accuracy.
    • Ongoing assessments are executed every time an updated AI model is distributed to our customer fleet.

    Our 6th generation detector’s enhanced object identification capability can be seen in the following comparison:

    5th Generation Detector
    6th Generation Detector
  • Deployment

    AI Model Updating and Deployment

    Each ‘ever-ready’ new AI model is deployed in our simulation lab, where we inject real-world data and review performance at scale. Once the AI’s performance exceeds the previous model, it is deployed on selected ships and tested in live operations.  

     

    • The vessel masters and crew provide valuable feedback.
    • Our monitoring platform tracks system performance to fine-tune the AI model as necessary.
    • An improved AI algorithm is distributed to our entire customer fleet whenever an upgrade is conducted.
    Data collection illustration
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Charting a Course
for Autonomous Shipping

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