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and growing (For more information, refer to Chris Jones Biometrics enhance security at casinos; airport use possible, at http://wwwbiometricgroupcom/ a_press/InBusinessLasVegas_Oct2001htm) Biometrica Systems Inc, recently reacquired by Viisage, claims to have sold its facial recognition systems to more than 100 casinos in the US, according to Jim Pepin, the company s vice president of sales and marketing in a Los Angeles Times article on February 2, 2001 Indeed, a partial listing of the casinos that have installed facial recognition systems includes Park Place Entertainment, Trump Casinos, MGM Mirage, Harrah s Entertainment, Isle of Capri Casinos, Venetian, and Bellagio Foxwoods Casino in Connecticut, the world s largest, also uses facial recognition At Trump Casinos, in Atlantic City, New Jersey, surveillance cameras linked to a facial recognition system record everything that happens in the casino every casino game, everyone who walks in and out the doors, and every hand that is dealt The cameras periodically move to different locations, which makes it difficult to locate and somehow disable them If Trump Marina s surveillance cameras zoom in on a suspicious character, the facial recognition program can capture his face, and convert it into template Casino security personnel may also add extra personal identification information, like sex and race, to bin (or further narrow) the search The facial recognition software then compares it to images of casino undesirables If the face provides a probable match, the database gives a wealth of investigative data on the suspected undesirable, including height, weight, aliases, and known associates Trump Casinos can also dial into the Casino Information Network, a system that allows it to exchange investigative data and photos with 50 other casinos around the world The network enables casinos to track teams of cheaters, who move from state to state and casino to casino Once an undesirable person or group is identified, casino security can then either decide to expel them or watch them more closely The casino industry s extensive deployment of facial recognition may seem surprising given criticisms of how ineffective the technology is For example, in May 2002, Barry Steinhardt, the director of the American Civil Liberties Union s Technology and Liberty Program, stated, Even with recent, high-quality photographs and subjects who were not trying to fool the system, the face-recognition technology was less accurate than a coin toss Under real world conditions, Osama Bin Laden himself could easily evade a face recognition system 2 In light of these concerns, why would a profit-oriented industry be among its biggest deployers Several reasons may help explain why the gaming industry gambled on facial recognition.
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ACLU, Data on Face-Recognition Test at Palm Beach Airport Further Demonstrates Systems Fatal Flaws ACLU Says, May 14, 2002, http://wwwacluorg/news/2002/ n051402bhtml
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called Band by Numeric Value of Actual, which is a much simpler formula and only calculates a score based on the value of the actual number and does not take the target into account The final method is called Band by Stated Score (Advanced) and calculates a number between any two values chosen As an example, imagine that the target is a calculation such as Sales Growth % from Prior Period and values of more than 10% should be green, 10% to -10% should be yellow and less than -10% should be red All three methods are the same regardless of the scoring pattern used After selecting the scoring pattern and banding method, the next screen allows the designer to choose the indicator to be used By default, if only the wizard has been used, there may be only the standard three position stoplight It s possible to add additional indicators, and this will be discussed momentarily The final screen in the Edit Banding Settings wizard asks for the Worst value to be entered if the banding method is the normalized value (which is the default) This is just a hard-coded value in the wizard, but can be made into a formula later in the process After clicking the Finish button from this page, the new indicator is created and added to the Workspace Browser Back on the Sales Amount summary screen, the next column in the Actual and Targets area is called Data Mappings This is the area where both can be set to the data element to which they are tied While both Actual and Target can be a fixed value, this makes little sense for the Actual The Target is not a fixed value either, although it could be when companies proclaim that they want to achieve a certain percentage of gross margin or a certain maximum failure rate in quality control tests, for example Clicking on the link for either Actual or Target in the Data Mappings column brings up the Dimension Data Source Mapping dialog box Shown in Figure 5-14, this dialog box allows developers to choose an existing measure and optionally filter that value based on selections from different dimensions Note that in Figure 5-14, the selections would filter the Sales Amount Quota to bikes sold in Arizona While this is certainly possible, it s more likely that just the measure will change and will be pointed to a quota or forecasted amount, such as the Sales Quota chosen earlier It s often better to filter the data later for the entire scorecard This will be examined later in the chapter Next, the wizard allows users to add a time filter formula This can be useful when a forecast value doesn t exist in the data source, but the developer wants to use a prior period In such a case, a formula could be entered that would read the measure from a prior period, such as the time period in the previous year from whatever date is currently being viewed A further and more detailed option on the screen is to use an MDX formula Multidimensional Expressions, or MDX, is the language used to access Analysis Services, just as Structured Query Language, or SQL, is the language used to access relational data While beyond the scope of this book, an understanding.
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