Object Detection and Identification Using Machine Learning

Priyanka A Deshmukh, Madhushri A Kale, Ankita V Lahoti, Charusheela K Ahire, Ankitkumar J Singh

Abstract


To identify and detecting the real time object is important concept in Machine Learning. In order to track the object, first take the necessary and relevant step to gather information from the webcam. This idea is used for an application like surveillance purpose, monitoring the terrorist attack, traffic monitoring and human machine interaction. This project is mainly based on tracking and detecting object by including its color, parameters which is visual based. i.e., the input to the system will be the video of real time scenario and image of real time object which is continuously captured with the help of a webcam which is integrated in to the Laptop. It will detect the object and it tracks that object in front of camera using trained dataset given to the system


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