SenSen Networks
October 2018
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
October 2018
Capabilities
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
AI enhanced Video Analytics for Table Games
Video Processing Unit
colors & patterns.
business intelligence & analytics applications
disappearance to determine Game Begin and Game End
the gaming table.
determine if a particular player is active
bets, side bets and etc., using region specific polygons within the camera field of view
areas (also referred to as table occupancy)
including dirty stacks that contain multiple colored chips within the same stack.
prone scenarios
perfect occlusions from other chip stacks or
game outcome
and unrated players
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
Future roadmap to process everything
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