Offside Detection System for Football using computer vision and image processing is an abstraction of the process of automatically identifying whether an attacking player is in an offside position during a game of football (soccer) using computer vision techniques. The system works by analyzing video feeds from multiple cameras positioned around the playing field to identify the position of players on the field. The problem with the offside detection system lies in its accuracy and reliability also technical limitation, cost, interference with the game and also controversial decisions. The system first identifies the positions of all players on the field using object detection algorithms open cv, it tracks the movement of each player over time using methods such as Kalman filters or particle filters. Next, the system determines the position of the last defender on the field, typically the goalkeeper or the last outfield player. Based on this information, the system calculates the offside line, which is the virtual line that the attacking player cannot cross before the ball is played. Finally, the system determines whether an attacking player is in an offside position by comparing their position to the offside line. If the attacking player is in an offside position when the ball is played, the system alerts the referee with an audible signal and a visual display. Overall, the Offside Detection System for Football using computer vision and image processing provides a more accurate and objective means of detecting offside offenses in football matches, reducing the potential for human error and controversy. The Offside Detection System for Football using computer vision and image processing involves several layers of abstraction. At a high level, the system is designed to detect the position of players on a football pitch and determine whether they are in an offside position or not. The following are the main layers of abstraction involved in the system such as Image/video acquisition, Image processing, Player tracking, Offside detection Output display. Each layer of abstraction involves a set of algorithms and techniques that work together to achieve the overall goal of the Offside Detection System for Football using computer vision and image processing.