IoT based detection of adulteration in Gold using ANN

Abstract

Abstract According to the old sayings, “All the glitters are not gold”. We should be very aware of this quote. Nowadays we don’t get a pure crystalline of gold (Au). The Gold (Au) cannot itself be made into proper jewellery, so it needs some impurities as such to make and sell them into a product. So, in olden days to till now the gold (Au) is mixed with Copper (Cu) to make it into a nice wearing’s and products. The Copper (Cu) is not only mixed with Gold (Au) it is also mixed with silver, Palladium, Platinum and more. Nowadays the iridium is mixed with gold to enhance the weight of the gold. Thus the gold sellers sell the iridium (Ir) mixed gold (Au) to the traders. Unknowingly the traders get the gold (Au) as of such in a high cost. The iridium (Ir) cannot be identified. It can be identified only when the gold (Au) is melted. The nature and property of gold remains the same when mixed with iridium, but the mass of the gold (Au) gets inflated. Thus the proposed system uses the x-ray to identify the Proportion of iridium (Ir) in gold (Au). The Controller senses the image captured the by the x-ray machines and matches them with the other samples taken from the pure Gold (Au) through Back Propagation algorithm and finds the error. The identification of such these will not cost more. It is highly efficient and traces the impurity in gold and provides the traders with at most satisfaction.