HACKADAY prize ENTRY: DETECTING ADULTERATED FOOD utilizing AI

Adulterated food is food that has a compound added to it to save on producing costs. It can have a unfavorable effect, it can decrease the food’s potency or it can have no impact at all. In numerous situations it’s done illegally. It’s likewise a extensive problem, one which [G. Vignesh] has chose to handle as his entry for the 2017 Hackaday Prize, an AI Based Adulteration Detector.

On his hackaday.io job details page he outlines some existing techniques for testing food, some which you can do at home: adulterated sugar may have chalk added to it, so put it in water as well as the sugar will dissolve while the chalk will not. His method is to instead take high-definition pictures of the food and, on a Raspberry Pi, apply filters to them to expose different properties such as density, size, color, structure as well as so on. He likewise mentions doing picture analysis utilizing a deep discovering neural network. This job touches us all as well as we’ll be viewing it with interest.

If all this talk of adulterated food makes you anxious about your food supply then think about growing our own, hacker style. One such job we’ve seen right here on Hackaday is Farmbot, an open-source CNC farming robot. one more such is MIT’s OpenAg Food Computer, a robotic manage as well as tracking growing chamber.

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