This project is based on FRAME SUBTRACTION APPROACH in A.I using python 

A Movement recognition system is a Technology capable of matching a Movement from a digital image Or a video frame against a database Of faces, typically employed to authenticate Users through ID verification services, Works by pinpointing and measuring Facial features from a given image

Algorithm Used -- We have 2 images:- currentFrame – A grayscale image of the current frame of the scene, previousFrame – A grayscale image of the previous frame of the scene, and threshold – The threshold that determine whether the movement is motion or not. 1:- Calculate the Difference between the currentFrame and previousFrame 2:- Using the threshold value as a Threshold for the image calculated in (1), we calculate the areas which have changed in the currentFrame from the previousFrame. 3:- Resulting image from (2) is then highlighted in the currentFrame to indicate areas of motion. The above algorithm forms a basis of background subtraction method. We modify the above algorithm for space and time to achieve a more complex but efficient motion detection algorithm

At last i hope you enjoyed this!!!