Active Learning Training System - AquaWatch Environmental Intelligence
SWIM-OS uses an active learning training system for quickly training custom image classification models. This system gives us complete control on training models with classes agreed with the customer, and fine-tuning models as additional data becomes available.
Our modular approach allows us to provide layered solutions alongside the specific CSO incidence monitoring. With the potential to include water level, flow and other desired monitoring algorithms as well as the physical water parameters gathered in real time by the AquaWatch WaQA.
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The Active Learning Journey:
Initial Data with Impact: The journey begins with the AW-108’s initial data capture, recording the baseline of environmental conditions. These details can be shared immediately, meaning that monitoring and learning can go hand in hand, adding value from the initial deployment.
The Feedback Loop: Through iterative cycles, AEI selects the most informative images to be annotated, enhancing its detection algorithms.
Strategic Sampling: Utilising strategies like uncertainty and diversity sampling, the AW-108 zeroes in on the data that will most improve its performance.
Real-World Applications: From monitoring trash racks to managing water levels, the AW-108 actively adapts, applying its growing intelligence to a range of environmental challenges.