Abstract: Disclosed is a system for automatic cropping of an image of interest from a video sample using smart systems. The image of interest is an image representative of the video sample, which includes desirable characteristics as required by the user, such as a person or object of focus, a specific aspect-ratio, preferred landmarks, information/time-stamps etc. The system for automatic cropping analyzes the video sample and its content to detect at least one image feature. The image feature is then classified based on importance and a potential test cropping area is determined based on the cumulative importance of features detected within each frame. The smart cropping systems and methods disclosed ensure that the most relevant aspects of a video sample are included within the image of interest.

Abstract: The present invention discloses a liveliness detection technique. The technique is described for identifying facial attributes. The technique identifies the presented face in the image as real or deceptive. The system and method includes identifying the facial attributes and utilizing a multi task learning network. The neural network includes segmentation and classification functionalities. The final output is used to get pixel level semantic information and high level semantic information.

Abstract: The present invention discloses system and method for fake face identification. The system is a multi-spectral sensing based bio-security system. The system uses CNN module along with thermal sensors to detect human face and also detects the human temperature. The system authenticates a human face and in case of temperature generates an alarm as an alert.

Abstract: The present invention discloses system and method for fake face identification. The system is a multi-spectral sensing based bio-security system. The system uses CNN module along with thermal sensors to detect human face and also detects the human temperature. The system authenticates a human face and in case of temperature generates an alarm as an alert.