Automatic Teller Machine (ATM) plays a vital role in our modern economic society. Around 1,30,000 ATM centers
are functioning across India. A real-time intelligent video analytics offers advanced monitoring capabilities that gives
sophisticated video surveillance to recognize abnormal activities. A person covering his/her face with a scarf, mask or helmet
in ATM center is one of the abnormal activity. In such scenario, an automatic face detection algorithm is required to, warn
and alert when the person is trying to cover his/her face in ATM. The detection of face is obtained using Deep Learning
Convolutional Neural Network (DCCN) architecture such as YOLOv3 that performs very well in the fast detector category when
speed is important
