Face expression recognition is a typical task to make human and machine interaction possible. Besides this, medical science and other applications demand for such system. This paper focusses on importance of face detection and its feature parts. For this, Viola -Jones algorithm was implemented. The crucial part of this paper is feature extraction and the algorithm used for the purpose is modified local binary patterns algorithm. The results of feature extraction algorithms are compared to that in the literature to show the limitations of the existing algorithms and their suitabilility for this application. Neural network based approaches are used for classification of facial expressions. This paper enumerates two classification techniques for the facial expressions. The system performs well by the method used by us and gives efficient results. This was experimented using the Taiwanian database and the Japanese database.

No abstract

No abstract

Abstract:The paper focuses on use of various sensors & other components used for detection of various parameters of generator like temperature detection, smoke detection, water level detection & theft detection. The proposed method helps the electrical power generator to work efficiently. The approach uses wireless communication to check to conditions of various backup generators on site. The system works efficiently with use of RF module & action of microcontroller. Thus, the centralised system will connect itself with others present on site.