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Losing our belongings is probably the greatest bad dream for both air terminal specialists and people. The face is probably the least de manding approaches to separate the individual personality of one another. Face acknowledgment is an individual recognizable proof framework that utilizes individual qualities of an individual to distinguish the individual's character. Human face acknowledgment strategy essentially comprises of two stages, specifically face identification, where this procedure happens quickly in people, with the exception of under conditions where the item is situated at a short separation away, the following is the presentation, which perceive a face as people. Face acknowledgment frameworks have likewise been utilized by photograph the executives programming to recognize the subjects of photos, empowering highlights, for example, looking through pictures by individual, just as proposing photographs to be imparted to a particular contact if their quality were distinguished in a photograph. Facial acknowledgment is utilized as included security in specific sites, telephone applications, and installment strategies. In phrases of privateness the bag can be activated via owner's identification and also location may be tracked using GPS and GSM. on this bag within a small platform all the centers are applied collectively efficiently.

The proposed methods presents for the prediction of abnormal heart rhythm expending customary of electro cardio graph topographies and a radial basis algorithm. Generally and changeable techniques are used for find out and separation of the P-QRS-T waves. And also detect all intervals in the ECG signal and compared with stored record. Ventricular arrhythmia is predicted by analyzing ECG signal. Four methods are used to analysis the ECG signal namely the methods are ECG preprocessing, QRS complex detection, feature extraction and classification. By using above methods an accurate noise free ECG Signal is obtained. Proposed architecture of this project analysis the logic size, area and power consumption.