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For the casino industry s security strategy, facial recognition is part of its defensein-depth Casinos do not see the technology as a solution to their problems but rather as an additional weapon in their surveillance arsenal This approach means that the casinos are more tolerant of facial recognition s shortcomings If the facial recognition systems can reduce, narrow, or otherwise screen the number of people that their expert human hawks have to scrutinize, it is all for the better In this sense, facial recognition systems nicely complement the work of casino security officers but do not replace them, in a business where any help is welcome In an Associated Press interview in 1999, Derk Boss, the director of surveillance for the Stratosphere Hotel Casino and Tower in Las Vegas explained how facial recognition is an improvement, The old mug shot books, you had to look through there and hope you could find it It makes it a lot easier and brings it up to high technology where we all want to be The Associated Press concluded, In the past, casinos counted on pit bosses with good memories to spot the undesirables The high-tech methods are bound to give them an edge (For more information, see Angie Wagner s High-Tech Raises the Odds Against Casino Cheats, at http://wwwcanoecom/CNEWSFeatures9912/21_casinohtml) Interestingly, a leading biometric authority shares some of this pit boss attitude toward the technology as well Speaking at a conference in August 2002 (as reported in Security Focus), Dr James Wayman of San Jose State University explained that at best, facial recognition systems limit the range of possible matches to a third of all possible positive match candidates In other words, the

FIGURE 1212 Maximum windup ratio bm versus h with Qm as varying parameter open-track (cycloidal cam)

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There are two main ways an organization or team can start changing a process: bottom-up or top-down (and sometimes both). The two ways are very different, as you ll see, and either could be the right approach for your team or company. There s no one right way. As you proceed, you ll need to learn how to convince management that your efforts should also be their efforts, or when it would be wise to bring in someone from outside to help. Making progress visible is important, as is setting clear goals that can be measured. Identifying and going around obstacles should also be high on your list. There are many battles that can be fought, and you need to choose the right ones.

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technology performs a screening function The systems have a failure to acquire rate, which means a certain percentage of the time the system does not recognize a face against a background The failure to acquire rate is affected by such factors as environmental conditions (lighting, shading), the subject s cooperation or lack thereof, and quality control issues In an August 7, 2002, article by Ann Harrison, entitled Researcher: Biometrics Unproven, Hard To Test, Wayman noted, The idea that this operates automatically is entirely incorrect They are nothing more than investigative tools, they are not automatic systems (For more information, go to http://onlinesecurityfocuscom/news/566) JC Herz, in an article for Wired, entitled Seen City: From surveillance cams to facial scans, in Las Vegas the whole world is watching, has summarized how casinos use this technology: If a person s template closely matches one in the database, a record pops up, with the image of a card-counter or criminal along with a list of his aliases and associates The software never makes a positive identification it just alerts the staff Then it s up to human operators to decide how good the match is and whether to escort the person off-site and send out a bulletin over an intra-casino network In one sense, the technology just automates what casinos have been doing for years, with pan-and-scan cameras, mug books, and sharp memories But speed and networking do make a difference, especially since the databases are shared (For more information, go to http://wwwwiredcom/wired/archive/912/vegashtml)

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