We used to have to wait 4–5 hours to find out whether the coagulation process—the process of bringing contaminants in water together so they can settle—had worked properly. Only after the water reached the sedimentation basin could we measure how clear it was. Atic eliminates the wait.
AS-IS · Conventional Approach
After coagulants are added, the water must flow to the sedimentation basin before turbidity can be measured and the results confirmed. If a problem occurs along the way, it is difficult to detect it immediately.
TO-BE · Atic’s Approach
Atic’s AUV captures microscopic particles (flocs) in the water in real time. AI instantly analyzes the images and quantifies their size, count, and density.
If something goes wrong, you can see it immediately and respond right away.
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The AUV continuously captures images of microscopic particles in the water.
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Deep learning identifies individual particles (flocs) in each image. Just as a person would point to and count objects one by one, AI does the same in an instant.
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Particle size, count, and density are converted into data, providing an at-a-glance view of how effectively coagulation is taking place.
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If an issue occurs—such as flocs being too small or excessive aggregation—you can detect it immediately on site and take action right away.
Automatically detects even microscopic particles that are difficult to see with the human eye.
We eliminate the wait for water quality results.
