Pravaha - Track the Movement Application

Pravaha project is based on the Lucas-Kanade Optical Flow of Pyramid Library of python which helps to detect the movement between two frame from point A  to point B.

Pravaha project can be used as an movement detection system as well as it can be used at the door to detect the object In and Out, it also captures the accurate time and stores it into database. 

Another need of this project is in road analysis sector where a moving vehicle keeps on changing its lanes unnecessarily which might lead to accidental situation.

This project demonstrates the recognition of Lucas-Kanade Optical Flow of Pyramid Library of python which leads to detects the movement within two thin optical line Point A and Point B. Whenever user moves from the point A to Point B in frame. It stores the data and timing of movement into database, with the help of OpenCv library real time movement recognition worked as an middle ware to detect the movements and note down the timing using Datetime library and In and Out data in array using Numpy library.

Machine Learning, Data Exploration Technique, Python, Lucas-Kanade Optical Flow of Pyramid Library, OpenCv, Numpy, Figma.