The system has to detect a human, recognize if the human is in the database, which has pictures of three different subjects and tracks the frequency of the person. ▪ Faced some difficulties on how to count the frequency of the individual on the screen but what able to solve through some brainstorming. Technologies used: Machine Learning Algorithms, OpenCV library, C++ programming language
The system has to detect a human, recognize if the human is in the database, which has pictures of three different subjects and tracks the frequency of the person. Faced some difficulties on how to count the frequency of the individual on the screen but what able to solve through some brainstorming.
Technologies: Machine Learning Algorithms, OpenCV 2.4.13 library, C++ programming language
Date: April 2017
The system has to detect a human, recognize if the human is in the database, which has pictures of three different subjects and tracks the frequency of the person. ▪ Faced some difficulties on how to count the frequency of the individual on the screen but what able to solve through some brainstorming. Technologies used: Machine Learning Algorithms, OpenCV library, C++ programming language