Android Face Detection Using Mobile Vision for ATM Security

Android Face Detection Using Mobile Vision for ATM Security

Abstract:-

Machine learning is a very interesting field in Computer Science that has ranked really high on my to implement  list application  a long while now, I was very excited to discover that Machine Learning can now implemented by anyone Android Apps based on the Mobile Vision APIs from Google without needing to have prior knowledge in the field. There are a lot of APIs for Machine Learning on the cloud and mobile, but in this app i am going to focus only on the Mobile Vision APIs since those are created specifically for Android developers. Android Face detection API tracks face in photos, videos using some landmarks like eyes, nose, ears, cheeks, and mouth. Rather than detecting the individual features, the API detects the face at once and then if defined, detects the landmarks and classifications. Besides, the API can detect faces at various angles too. Most people don’t understand how criminals try to access ATMs and, therefore, may not realize that ATM security is a necessity. For one thing, attackers can target the cash that is stored within the ATM safe or try to get the cash while in transit to the machine. Security protocols have to be in place for both options to ensure the safety of the money. It works best in our Android Pace Detection in ATM Security. Customers who come to the money process at ATM, our system can detect the face and store in the database so that attackers can easily detect the face.