The speaker will demonstrate and explain a basic motion detection and tracking system for area surveillance using computer vision techniques and follow it up with demonstrating three sets of modules that are to be executed in order to train the AI so that it can recognize N faces and their instances (like photos or selfies from smart phones) which it captures in the camera’s FOV. Finally discussion on Single Shot Detectors and MobileNets. When combined together these methods can be used for super-fast, real-time object detection. The speaker is open to taking all kinds of questions regarding the content and will explain the modules workng and the role of Python and its packages in each of the modules.
Shayantan is a 3rd Year Electrical and Electronics student who takes a keen interest in how humans,try to make machines human via Deep Neural Networks and Artificial Intelligence .Having participated in Google Code In , Summer Of Code for the open source organisations KDE and Libre, he stays active in the open source community and can be found tinkering with his Raspberry Pi during his free time.After discovering Python3's flexibility and it's application in the field of AI , there was no looking back for him.