Face Recognition from Surveillance Using Sequnetial CNN-Model

Nowadays there is lot of research going on face recognition and identification, with the increase in computational power working on images became easy and many complex and deep neural networks are implemented on images. There are many applications which updates automatic attendance and face recognition, we just wanted to extend to super market problem. This paper solves the problem of identification of customer and employees in super market. We have used deep convolution network and Siamese network to train images to classify in to customers, important customers and employees from cameras. This also compares the results from different models.