Optical character recognition (OCR) systems in roulette utilize advanced image processing techniques to read and interpret text from the roulette wheel and table. These systems capture images of the wheel and bets using cameras, applying algorithms to identify and extract relevant information, such as numbers and bet types. This process involves analyzing patterns, shapes, and text characters, as well as employing machine learning to improve accuracy over time. The extracted data is then translated into usable formats, enabling real-time monitoring of game outcomes and player activities while streamlining operations in casinos.