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Product Samples

Object Tracking

Object Tracking



Speaker Verification

Speaker Verification

Facial Recognition System:

We have developed a facial recognition system using Neural Networks and other advanced mathematical techniques. A small or medium size organization can use this system to verify the identity of their employees and frequent visitors. We have achieved an accuracy of 96% for verification of a database of 120 images taken from YALE database. Efforts are on to increase its accuracy as well as to increase the scope of the system to handle a very large database.

Click on the preview below to activate the control. Click the "Play" button to watch the video. It may take a few minutes to load the video depending on the speed of the internet connection.
If you face trouble in viewing the video(4MB) Right Click Here and press "Save Target As..." to download the video to your PC


About the Video:
The video is a demonstration of the Live Face Recognition System. The identity of the person is recognized and is displayed below the image as soon as the person sits in front of the camera. This is a very complex task that involves image segmentation, feature extraction, pattern classification and face recognition all of which, as the video shows is done automatically, without human assistance and in real time.

The application will correctly recognize the person under different facial expressions also. For example see the images shown below where each person has a different expression in each image.

Sample Face Images from Face Database
Face Recognition

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