Programa de pridiccion

Esto es lo que necesito. Alternatively, we employ a digital camera

mounted directly above the wheel to accurately and

instantaneously measure the various physical parameters.

This second approach is obviously a little

more dicult to implement incognito. Here, we are

more interested in determining how much of an edge

can be achieved under ideal conditions, rather than

the various implementation issues associated with

realising this scheme for personal gain. In all our trials

we use a regulation casino-grade roulette wheel (a

32" \President Revolution" roulette wheel manufacturer

by Matsui Gaming Machine Co. Ltd., Tokyo).

The wheel has 37 numbered slots (1 to 36 and 0)

in the conguration shown in gure 1 and has a radius

of 820 mm (spindle to rim). For the purposes of

data collection we employ a Prosilica EC650C IEEE-

1394 digital camera (1/3" CCD, 659493 pixels at

90 frames per second). Data collection software was

written and coded in C++ using the OpenCV library.

Figure 5 illustrates the results from 700 trials of

the prediction algorithm on independent rolls of a

fair and level roulette wheel. Several things are clear

from Fig. 5. First, for most the wheel, the probability

of the ball landing in a particular pocket | relative

to the predicted destination | does not di er

signicantly from chance: observed populations in

30 of 37 pockets is within the 90% condence interval

for a random process.

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