Fraud Detection by Facial Expression Analysis Using Intel RealSense and Augmented Reality
Nikhitha Prasad, K. Unnikrishnan, R. Jayakrishnan · 2018
Fraud detection embodies all the processes that help in the identification of actual or fraud that is expected to take place within an organization. Every organization must equip themselves to combat this possibility of fraud. Global Fraud Study done by The Association of Certified Fraud Examiners' (ACFE) identified that on an average, an organization loses approximately 5% of revenues to fraud annually. This accounts to approximately $3.7 trillion losses of revenue, on a global scale. As a solution, the proposed system aims at providing an augmented reality aided approach to detect fraud from the facial expressions of the prospective customers. The micro expressions that a person involuntary exhibits while experiencing an emotion is used to determine the intention of the suspected person. These micro expressions shed light on the probability that the/she is indeed lying. The result of which can be used to screen the customer's intention and behaviour. This has been achieved with the help of Intel's 3D camera namely RealSense.