Machine Learning Object Detection - Casino Deals

Gday...

I am a robotics engineer by training and to deter people from thinking I am ramping this stock, please find my qualification..


Disclaimer : I have a decent chunk now in this company and whatever I write may be prejudiced....So take it with a pinch of salt. I am also a half decent trader. You can choose to believe me but I offer no proof. You can rely on my knowledge if you wish to by reading the posts I wrote on BRN. Simply search for my username and BRN post code back when BRN was still 10-15 cents... BRN since then went to $1 and now back at 36 cents where I think it has failed to meet my expectation with a promise of a processor but no decent product on the table.

Now that we have the credentials out of the way, lets talk about the patent filed by none other than the CEO Subhash challa. The patent is found here. The status is pending.

The patent specifically deals with player assessment moreso than it deals with actual gaming table activity. Notice that the patent actually cites quite a number of analytics related properties of an onseated gaming patron for an example the image below calculates the chips of a certain patron.




This is quite useful in calculating a number of things for an example, casinos can effectively outlay floor plan based on players with higher chip values on floor and make future decisions on gaming plans based on preference to games with higher player chip values.

It is also useful to estimate a general aggresiveness of players towards a certain part of the game. For an example, collating data from the value of chips to how many cards inside the blackjackdeck can yield player win ratio. More picture cards inside the deck and higher betting can also yield assessment of the player itself as to whether they are mathematically inclined..

Further to this, a detailed player profile can be built by simply enrolling the player in the local casino membership as they already would have an image of the player and assessment can be made on player betting habits thereby building an entire casino profile on win/loss ratio.

Note the following image specifically from crown casino cited in the pattern.


Now how would you go about building advanced data network corresponding to each profile of player ? You would need to use a survellience network specifically capable of image recogniton accurately predicting their location.

While SenSen says that the latest acquisition is in relation to them doing it for survelliance network, I wouldn't be surprised if this is deeply integrated with a casino survelliance network to help them profile each player. This helps a casino accurately predict a player competancy thereby having a clearer picture on what their intake would be by day, month and year. How would they do this ?

This is accurately described in image 11 of the patent. More on this soon.

This is the new era of player profiling and casino's have both the money and will to capitalise on these things. This would indeed be a buy for me based on the upside from here on. And if you are wondering NO they won't need the BRN chips to do the neural network in the middle.