IRJCS Published Papers by M. Brundhaelci
IRJCS:: AM Publications,India, 2019
The main concept of our project is to experiment with using deep learning neural networks to dete... more The main concept of our project is to experiment with using deep learning neural networks to detect and quickly respond to crimes in progress with effective Criminal Recognition and Person Tracking system to reduce the crime rate. Surveillance can be of different forms like malicious activity detection, identification of a particular entity particular individual in a CCTV video) or in general keeping tracks of movements of human beings. In our project, the focus has been given to find the trajectory/path of human through the grid of CCTV cameras also known as tracking. Also, manually doing tracking can be very difficult. This is done with the help of face recognition plus video processing. Current system in this field aims to search for an entity in video by extracting its face and matching (or running) it against a database of human faces that is in the interest. So, none of the systems solve the task if they do not have a predefined database against whom the matching is done. Our, Smart AI will do this in a smart way by first generating datasets from human faces taken from CCTV video and use it in a Face Recognition model we are using. The use of deep learning libraries like OpenFace along with some image processing tools like openCV with a cloud-based solution is done to achieve this task
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IRJCS Published Papers by M. Brundhaelci