不同於一般採用節能為目標的智慧照明，本研究從喜好度的角度出發，提供不同色溫的情境下，以喜好模型Pleasure=W_1·Lightness+W_2·Saturation做為判別最佳視覺的指標。並選用四色LED為光源，調控出演色性大於85的色溫，分別是：2700K、3000K、3500K、4000K、4500K、5000K、5700K、6500K、9000K及12000K。以及使用市售RGB色彩感測器結合單晶片8051設計成電路，採35張圖片的數據做為訓練，取得被照物的三原色值，建立可轉換其值為三刺激值XYZ、彩度(chroma)、飽和度(saturation)與明度(lightness)的公式，找到可構成喜好度的色彩資訊，達成判別最佳視覺的智慧照明系統。

When mentioned “Smart lighting”, it always means the lighting provides different energy saving functions depending on different purposes. However, The key of this thesis can provide different CCT conditions of lights for different objects to achieve the best visual preference which is given as Pleasure=W_1∙Brightness+W_2∙Saturation. The research contains the color sensing unit and dynamic LED lighting unit. The dynamic LED lighting unit is composed of 4-channel LEDs can provide the light conditions of CCTs 2700K、3000K、3500K、4000K、4500K、5000K、5700K、6500K、9000K and 12000K. On the other hand, The color sensing unit has RGB sensors to collect the raw data of the responded values of the R-, G-, B- sensors of the object illuminated by different CCT of lights, followed by a process of converting these R-, G-, B-values to the tristimulus values, X, Y, and Z of the object by a correcting matrix obtained from a training set of 35 pictures, and then to transfer the thistimulus values to saturation, lightness, and Chroma, thru a simplified formula which can be executed by 8051 microprocessor. Thus, the values of the preference of the object lighted by the ten light conditions are obtained according to saturation, lightness, and Chroma. The light with the largest preference value is the best one. The method combined with the human factors experiments to automatically determine the best visual lighting purposes.

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