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The world is simply less colorful, without the sense of colour. In ordinary life, a difference in colour perception is mostly inconsequential. However, in many industries, the ability to sense colour precisely can be crucial. In this paper, a novel reflective colour sensing system is presented for process monitoring and control applications in paper and textile industries. The system is developed using a solid state RGB sensor and a smart signal processing algorithm implemented on micro-controller architecture. A hybrid neural network comprising Self organizing mapping and Back propagation architecture is used for colour zone classification and exact colour identification of papers. Demonstrator applications and simulation results are discussed to highlight the importance of sensor and accuracy in measurement.

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