The potential of solving real-time demanding industrial applications, using vision-based

algorithms, drastically grew due to an increasing availability of computational power.

In this thesis a novel real-time, vision-based Blackjack analysis system is presented. The

embedding of the vision algorithms in a compound system of other information sources such

as an electronic chip tray, reduces the vision task to detect cards and chips. Robust results

are achieved by not just analyzing single fr a mes but an image stream regarding game-ß ow

informations. The requirements for such a system are a highly robust and adaptive behav-

ior. This is motivated by the vital interest of casino entrepreneurs in a 100 statistical

analysis of their offered gambling in order to support the business plan, measuring table

and dealer performance and give accurate player rating. Extensive experiments show the

robustness and applicability of the proposed system.-The potential of solving real-time demanding industrial applications, using vision-based

algorithms, drastically grew due to an increasing availability of computational power.

In this thesis a novel real-time, vision-based Blackjack analysis system is presented. The

embedding of the vision algorithms in a compound system of other information sources such

as an electronic chip tray, reduces the vision task to detect cards and chips. Robust results

are achieved by not just analyzing single fr a mes but an image stream regarding game-ß ow

informations. The requirements for such a system are a highly robust and adaptive behav-

ior. This is motivated by the vital interest of casino entrepreneurs in a 100　 statistical

analysis of their offered gambling in order to support the business plan, measuring table

and dealer performance and give accurate player rating. Extensive experiments show the

robustness and applicability of the proposed system.