SenSen Networks October 2018 Introductions Background of SenSen - - PowerPoint PPT Presentation

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SenSen Networks October 2018 Introductions Background of SenSen - - PowerPoint PPT Presentation

SenSen Networks October 2018 Introductions Background of SenSen Agenda SenSen's Video Analytics, AI and Machine Learning Capabilities SenGAME solution for Table Analytics Integration Options SenSen Networks Overview


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SLIDE 1

SenSen Networks

October 2018

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SLIDE 2

Agenda

  • Introductions
  • Background of SenSen
  • SenSen's Video Analytics, AI and Machine Learning

Capabilities

  • SenGAME solution for Table Analytics
  • Integration Options
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SLIDE 3

SenSen Networks Overview

Who we are

Melbourne Australia HQ based company. Spun out of University of technology sydney Listed on Australian Stock Exchange (ASX: SNS). Market Cap $60M We have ~60 people spread between Melbourne, Sydney, Singapore, India and Canada We specialize in AI enhanced process automation software solutions World leading expertise in Computer vision, deep machine learning, data analytics, Artificial intelligence

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SLIDE 4

SenGAME Solution

AI enhanced Video Analytics for Table Games

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SLIDE 5

Problem

  • For every game played on a gaming table determine
  • Game Begin Time
  • Game End Time
  • Time Between Games
  • Number of Active Players (Occupancy)
  • Type of Bets placed
  • Main bet
  • Back bet
  • Side bets
  • Value of each bet
  • Track cards to determine game outcome
  • Track Cash exchanges
  • Track Float in real time
  • Bet Attribution to rated and unrated players
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SLIDE 6

Video Processing Unit

The Solution

  • High resolution cameras from Android Phones
  • Video/Image Analytics using GPU based accelerated processing
  • Deep Machine learning software to learn casino specific layouts, chip

colors & patterns.

  • Real-time data available in centrally hosted SQL data base
  • REST API and SQL for easy integration with data warehouses and

business intelligence & analytics applications

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SLIDE 7

Game Begin & End

  • Uses cards appearance and

disappearance to determine Game Begin and Game End

  • Accuracy ~ 100%
  • Gracefully handles exceptions
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SLIDE 8

Number & Type of bets

  • Detect image coordinates of bets placed on

the gaming table.

  • Check which player area the bet falls in to

determine if a particular player is active

  • Check for Perfect pair bets, main bets, back

bets, side bets and etc., using region specific polygons within the camera field of view

  • Determine the total number of active players

areas (also referred to as table occupancy)

  • Accuracy ~ 100%
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SLIDE 9

Bet value

  • Patent pending technology
  • Works with single and multiple chip stack

including dirty stacks that contain multiple colored chips within the same stack.

  • Accuracy ~ close to 100%
  • Accuracy may drop in crowded occlusion

prone scenarios

  • Accuracy is limited only by operationally rare,

perfect occlusions from other chip stacks or

  • bjects
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SLIDE 10

Product Road Map

  • Track cards to determine

game outcome

  • Track Cash exchanges
  • Track Float in real time
  • Bet Attribution to rated

and unrated players

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SLIDE 11

Key Features

IP

Protected by multiple global patent (pending) applications

High Accuracy

Accuracy is improved continuously by deep reinforcement learning

Rapid training

Typically takes 2-3 weeks to learn new casino chips and layouts

Low cost

Android phones and off the shelf mini PC

Retrofit to existing tables

No need to change layouts, or chips or tables and no need to provide additional dealer training

Easy to set up & Configure

Typically takes less than 1hr to set up a table

Flexible architecture

Processing can be done on the table using a mini pc or centrally with one powerful server Supports varied mounting options and positions to

  • ptimise accuracy

Future roadmap to process everything

  • n the phone
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SLIDE 12

Crown Casino Installation

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SLIDE 13

Applications

  • Hands per hour
  • Dealer KPI measurements
  • Activity/occupancy heat maps
  • Accurately rate players
  • Loyalty
  • Bonus bets or Jackpots
  • Floor Yield Management
  • Fraud Detection
  • Cash drop
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SLIDE 14

Integration Options

  • REST API
  • SQL
  • JSON
  • XML over TCP/IP
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SLIDE 15

Product Development Status & Road Map

  • SenGAME is developed in partnership with Crown Casino in Melbourne
  • 3 years of development
  • SenGAME 1.0 used surveillance cameras
  • SenGAME 2.0 used Microsoft Kinect & 3D Time of Flight Cameras
  • SenGAME 3.0 (Current version) uses Android Phones retrofitted to tables
  • Current features
  • Game Begin & End (Accuracy ~ 100%)
  • Bet count and Bet Type (Accuracy ~ 100%)
  • Number of players or Occupancy (Accuracy ~ 100%)
  • Bet Value (Clean & Mixed Stack) (Accuracy ~ 98%-100%)
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SLIDE 16

SenGAME – Steps to make it work in a new casino

Install Cameras

Mount the cameras as per recommendations

Collect Data from Gaming Floor

Record Videos and images when games are played

Rapid training

Train a deep neural network

Deploy & Test

Deploy the software and test it in live environment

Retrain

Feedback the errors into the networks to improve the results if necessary

Set up & Configure

Set up each table with appropriate game logic and run live

Enjoy the Magic