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Anecdotal evidence suggests that facial recognition systems have been successful in catching at least some undesirables in the casino world Success stories include: [T]he system was installed at Trump Marina in 1997 Three days later, it helped the casino nab eight baccarat cheats Reported in Casinos Using Facial Surveillance, Gaming Magazine, February 26, 2001 The first day [the] system was installed, a major casino discovered a long-sought-after cheating ring, potentially saving themselves several thousands of dollars Reported in To Catch a Thief, CasinoGurucom, August 3, 1999 After having this advanced technology for only a couple of weeks, we used the Visionics system to identify a known suspect who had registered under a false name, said Dan Eitner director of surveillance at the Venetian Reported in Facial Recognition Ready for Prime Time Security Watch, May 2000 as well as this detailed account by Andy Newman, entitled Face-Recognition Systems Offer New Tools, but Mixed Results, in the New York Times on May 3, 2001: Detective Sean Boero and his partner were walking the casino floor at the Atlantic City Hilton when, behind a pile of red chips at a craps table, they spotted a familiar face It was a petty thief and card cheat named Sammy with a long criminal record They called headquarters to see if there were any warrants for his arrest No dice That might have been the end of it But Detective Boero went back to his office, called up Sammy s digital mug shot on a computer and hit Search Up popped a bunch of mug shots of men who looked, to varying degrees, like Sammy [ ] Several were of Sammy himself under different names, Detective Boero said He checked for warrants on those names Two of Sammy s alter egos were wanted for theft Detective Boero raced back to the casino The detective approached and gave Sammy the news He just smiled and said, You got me, Detective Boero later remarked Each of these reported events could perhaps be explained by the casino s good fortune, the undesirable s bad luck, or as part of the casino s slick public relations effort to hype deterrence (to make the undesirables think that the casino has impenetrable security so they go elsewhere) Or maybe the technology actually worked.

that you can accomplish the first covertly, without the higher powers knowing about it. The latter is done in conjunction with management. It s up to you to figure out which approach will work best. Sometimes the only way to change things is by covert operations. Avoid this if you can, but if there s no other way and you re sure the change is needed, you can just do it. Don t take this as a recommendation to make a career-limiting move. Developers do things they didn t ask permission for all the time: debugging code, reading email, writing code comments, creating flow diagrams, and so on. These are all tasks developers do as a regular part of the job. The same goes for unit testing. Most developers already write tests of some sort (automated or not). The idea is to redirect that time spent on tests into something that will provide benefits in the long term.

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0 0 5 10 15 h

frequency ratios Thus for a well-designed cam system that operates at high frequency ratios, the closed-track cam system without a return spring has better performance characteristics Comparisons are academic because closed-track systems are utilized only in commercial production machinery, and open-track systems are best for only the automotive eld

.

8.2.2 Convincing management (top-down)

EXAMPLE Consider an open-track dwell-rise-dwell cam-follower-driveshaft system having a cycloidal cam curve with the following data:

Cam speed, 350 rpm (3665 rad/sec) Stroke, h = 002 m Total cam angle, b = 90 Follower mass, m = 50 kg Drive train spring stiffness, ks = 10,000 N-m/rad Cam moment of inertia, I = 0005 kg-m2 Return spring coef cient (the ratio between the maximum spring force and maximum nominal follower inertia force), a = 15

As Jim Wayman has made clear, a well-known problem with facial recognition systems is failure to acquire a good shot of the target Criminals are noncooperative subjects; they do not want to be identified and will take extreme steps to alter their appearance To improve the chances of getting a good shot of the target and to reduce the failure to acquire rate, surveillance cameras should offer maximum versatility and speed: they should be able to rotate 360 degrees so that targets can be followed throughout the casino and have a capability to zoom in quickly on the target s face to capture it when opportunity presents itself Casino surveillance cameras generally satisfy these requirements and also feature widely deployed, but concealed, equipment For example, cameras are hidden behind smoked glass fixtures in the casino s ceiling The zooming power is such that the serial number on a dollar bill or the year on a coin can be viewed At major casinos like the Bellagio, Mandalay Bay, and the Venetian, there are more than 1,000 concealed surveillance cameras recording patrons movements Facial recognition technology works best when it gets help Casinos are highly incentivized to give it all the help it needs by using many state-of-the-art cameras to monitor well-lighted casino floors, where well-trained casino security officers and other staff are on the look-out for anything suspicious If these human hawks see something strange, they can communicate that information to the camera operators to pan, tilt, and zoom to get a good shot of the target And casino security only needs one good shot of the target Operators can input information like race, gender, sex, and age to further narrow the search Thus, a key to success is the synergy between the facial recognition system and the human hawks and camera operators who make it work.

The cycloidal cam study of the torsional windup of the system gives 2 h 2( 002) = 00255 = p b 2 2ph 2p ( 002) xmax = 2 = = 0051 2 b p 2 xmax =

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