Description

ATM crime detection using openCV

Abstract

       The fast development in Automatic Teller Machines (ATM) has made life simple for the everyday life, except it isn’t so for administrators who oversee it. ATMs are not claimed by banks rather they are outsourced to Managed service providers (MSPs) from acquiring to keeping up the machines.The exchanges through ATM’s are expanding quickly alongside some different exercises because of less security. Thus through the human stance typicality and anomaly identification and Analysis utilizing SIFT (Scale-invariant feature transform) and Gabor include extraction process and SVM (support vector machine) classification technique in ATM machine focuses; the above issue proclamation can be overcome.