Design of an ATM Security Through Smart-Vision

Security cameras are an essential feature in Banks, Airports, Railway Stations, Shopping malls, Educational areas, Residential areas etc. One has to look at the recorded images and videos whenever any incident happens. The paper research presents effort reported in this paper tries to incorporate intelligence in the cameras installed in bank ATMs, to trigger a preventive action to incase of any abnormal behaviors of person using it. A novel method using HOG based features extraction and SVM classifier is reported. On the basis of the feature extraction, the Support Vector Machine (SVM) classifies the activity of the captured images as normal or abnormal.