Instruction:
Prof. Avivit Levy, Dr. Zeev Weissman, Professor Shayke Hutzler

ChameleonVISION is a system that assists beach volleyball referees by analyzing live play scenarios and displaying global stats in real-time.

The system was developed by students from Shenkar’s Software Engineering and Electrical & Electronic Engineering departments, in collaboration with The Academic College at Wingate.

From local tournaments to the Olympics, professional beach volleyball currently lacks computer-vision-based systems. With no way of verifying the referees’ calls, human error can decide the result of a fateful volleyball match.

ChameleonVISION recognizes the ball, court boundaries, and players, including which players are on which team.

The system’s instant replay feature helps referees verify their decisions (especially “ball in” and “ball out” faults) and the score. In addition, having a digital record of the game allows the system to calculate relevant stats for teams and individual players. 

Powered by deep neural networks, ChameleonVISION identifies court boundaries and tracks the ball and players using innovative algorithmic approaches, image processing, and computer vision.

As part of the project, the students developed and implemented a generic game state recognition algorithm. This system, where a single camera records and analyzes the entire court, is the first of its kind in the world