
Detection of Chemical Type and Concentration in Water Through a Color Sensor System
Software as a Service
NoCategory
Thesis DesignClients
Techstack
Purpose
Testing water for dangerous contaminants — cyanide, sulfuric acid, nitric acid, and lead — usually means lab equipment and time many communities do not have. This research set out to prove that a low-cost color sensor could identify which chemical is present and how concentrated it is, well enough to trust for screening.
Description
We built a system that reads the color signature of a water sample, steadies the reading across many samples, and classifies both the contaminant type and its concentration against calibrated references, showing the result on a small on-device screen. The readings were validated against known samples using formal statistical testing, confirming the approach as a viable low-cost screening method. Turning a subtle color shift into a reliable contamination readout is the kind of sensor-driven problem we solve.




