Adulteration is one of the major physical contaminations. Adulteration is the mixing of inferior quality material or superior substance to the superior product, which reduces the nature, quality and originality in taste, color, odor and nutritional value causing ill effects to the health of the consumers. This paper proposes to replace the existing methods to identify adulteration with VLSI implementation. Digital color imaging is versatile, reliable and a low-cost tool for color-based classification of fresh product, with the potential to replace other, more costly techniques. In this paper, different types of food samples are selected and the images are acquired and calibrated. This is kept as a reference image. Then the sample which is to be tested whether it is adulterated or not is checked by comparing it with the reference image. The color variation in the process shows the adulteration. By using this system we can identify the adulteration. In the Very Large Scale Integration (VLSI) implementation, these images are compared with standard images stored inside the Field Programmable Gate Array (FPGA) with suitable algorithm. It is helpful for high-speed comparison of images according to the pixel intensity value. The design is implemented using Very high speed IC Hardware Description Language (VHDL). FPGA Vertex4 has been used for the hardware implementation. The proposed method is an improvement over traditional software package based approaches.

Sensors VHDL FPGA