The research relies on the efficient real-time highresolution detection approach through intelligence-based representation to consider the human eyes in connection with its states that can be a distinction between the open and closed ones. In a word, the subject behind the research is achieved using the principal component analysis in association with the artificial neural networks. First, the face needs to be detected using the AdaBoost technique. Then, after a number of processing steps, the areas of the mouth, the left and right nostrils as well as the eyes should be identified. Moreover, the eyes are separated from the face and passed to the multi-layer perceptron for the purpose of classifying the results. Having identified the features of the open and closed eyes through the aforementioned principal component analysis in line with the present intelligence-based technique, the outcome is realized to identify the states of the eyes from frames taken by webcams. The proposed approach can be used to indicate the left and right click on a computer by opening and closing left and right eyes, as well. A number of frames from various sources in the different lighting con-B A. H. Mazinan