INSIGHT SECURITY & SURVEILLANCE
EP Smit Senior Enterprise Solutions Manager, Dallmeier electronic
Artificial Intelligence can provide reliable classification of people or vehicles that can be used to determine loitering or crowd detection. But making use of interfaces to third-party gaming systems data can be aggregated and when certain events appear during a specific period of time our system can generate events that can draw an operator’s attention to investigate further.
Artificial Intelligence can
provide reliable classification of people or vehicles that can be used to determine loitering or crowd detection. But making use of interfaces to third-party gaming systems data can be aggregated and when certain events appear during a specific period of time our system can generate events that can draw an operator’s attention to investigate further.
Where are your products being used? In which jurisdictions?
Te Dallmeier product range is used all over the world in all different branches from casinos, industry, mining, stadiums, logistics, airports, safe cities to private homes. Te Hemisphere SeMSy Management system has specific, dedicated casino components which have been refined over our long history in the casino business. As each country has different jurisdictions with regards to casino regulations, our software has to be flexible enough to be able to adapt to these challenges.
What role do AI-based technologies play in your products when it comes to recognising suspicious winning patterns? How do you combine CCTV with newer technologies?
Accurate detection of cards and chips on the table using video analytics is a crucial first step in the chain of events that can provide analytical insight
into a table game. Without the use of AI the accuracy of video analytics is reduced
exponentially and useful data cannot be obtained to provide the level of accuracy that is needed for fraud detection.
Interfacing video analytics with RFID is a classic combination where two technologies can perform a check and balance of chips in the float for example.
Accurate detection of cards and chips on the table using video analytics is a crucial first step in the chain of events that can provide analytical insight into a table game. Without the use of AI the accuracy of video analytics is reduced exponentially and useful data cannot be obtained to provide the level of accuracy that is needed for fraud detection. Interfacing video analytics with RFID is a classic combination where two technologies can perform a check and balance of chips in the float for example.
How quickly can you detect fraud in a casino?
Te answer to this question is the same as “how long is a piece of string?”. Te system should be flexible enough to be able to adjust to customer and jurisdiction requirements with the ability to change thresholds for reporting fraudulent behaviour. Otherwise, the customer might be flooded with potential events that would only add to the operators’ stress levels, rather than providing a solution that assists in their day-to- day tasks.
What is the future of casino surveillance and investigation in terms of future products?
Te combination of Integration, AI and HI (Human Intelligence) in the right amounts of quantities for each is vital for future product development. Casino environments are challenging and customer behaviour is unpredictable. What works in an Asian casino may not work in a European or US casino due to differences in playing styles and customer behaviour. Providing the right amount and quality of information to operators is key to a product’s success.
WIRE / PULSE / INSIGHT / REPORTS P61
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52 |
Page 53 |
Page 54 |
Page 55 |
Page 56 |
Page 57 |
Page 58 |
Page 59 |
Page 60 |
Page 61 |
Page 62 |
Page 63 |
Page 64 |
Page 65 |
Page 66 |
Page 67 |
Page 68 |
Page 69 |
Page 70 |
Page 71 |
Page 72 |
Page 73 |
Page 74 |
Page 75 |
Page 76 |
Page 77 |
Page 78 |
Page 79 |
Page 80 |
Page 81 |
Page 82 |
Page 83 |
Page 84 |
Page 85 |
Page 86 |
Page 87 |
Page 88 |
Page 89 |
Page 90 |
Page 91 |
Page 92 |
Page 93 |
Page 94 |
Page 95 |
Page 96 |
Page 97 |
Page 98 |
Page 99 |
Page 100 |
Page 101 |
Page 102 |
Page 103 |
Page 104 |
Page 105 |
Page 106 |
Page 107 |
Page 108 |
Page 109 |
Page 110 |
Page 111 |
Page 112 |
Page 113 |
Page 114 |
Page 115 |
Page 116 |
Page 117 |
Page 118
