Accurate and inexpensive spectral estimation can enable more diverse applications of multispectral sensing where the light source spectrum plays a vital role. Optimizing the sensor sensitivities for the commercially available electric light source can allow manufacturers to improve the accuracy of sensing systems. Although the spectral optimization of three sensors resulted in small spectral matching errors, it is possible to increase the accuracy even further by using more sensors or changing optimization parameters.

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