Using a smartphone’s camera as machine vision for better fluid analysis using analysis strips

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Urine sample app lets users detect diseases with iPhones | Cutting Edge – CNET News

My Comments

I was amazed about the concept of having a smartphone’s camera along with a special app “read” a urine analysis strip to provide a better analysis of diseases and other issues that can be determined through urinalysis. This can allow for the in-home diagnosis that these strips provide but allow for improved accuracy in these tests. The end user doesn’t have to add any peripherals to the smartphone or tablet for these strips to work with the software nor does the device come in to contact with the fluid in question. Rather they use the camera integrated in this device to provide the “machine vision” for the software to do the analysis.

This app could also allow for further analysis for other illnesses and conditions by the developer programming it further for these different conditions.

But I would also like to see the concept taken further beyond health tests. For example, the use of a fluid analysis strip along with an app that “reads” the strip could come in handy as a tool to help with safe partying. Here, a fluid analysis strip could be placed in a hot or cold drink, then read by an analysis app which uses the smartphone camera for machine vision to determine if the drink has been spiked with drugs. The analysis app could also determine if a drink has been “loaded” with too much alcohol, by referring to a device-local or online database of known “alcohol ratios” for many drinks including the mixed drinks and cocktails.

Similar "analysis-stick” chromatography that uses a Webcam, smartphone camera or similar machine vision, can be taken further for consumer and applications like checking the condition of engine and battery fluids in a vehicle which can betray the truth about the condition of that used car he is trying to sell, or checking the condition of the water in a swimming pool so you can keep that pool in order.

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