How does the Bot interface with the game components to provide the necessary UI/UX. I am going to go into detail on 3 different pieces of the architecture: There are no warranties on this in any manner. The code for this solution is located at: microsoft/MTC_PokerBot (). If you don’t know how to play Texas Hold ‘Em, just type it into your search engine of choice. The Azure Percept DK Vision Module is used to read the player cards using a custom model created with Azure Custom Vision and a couple of ready-made Azure Cognitive Services. The game itself is driven by a Bot and uses Azure Digital Twins to create a live, updating model of the game, as well as being the only source of truth for the game data. I hope the principles detailed here will aid the development of more advanced IoT architectures using Microsoft Azure. This is an architecture for a game of one-on-one Texas Hold ’Em, along with a concrete implementation. As a bonus, I’d be able to play cards with my customers during some of my sessions.ĭown this road, I go. A card game, if implemented correctly, would be able to show all the necessary architectural pieces of a more advanced solution which then could be easily discussed in terms of other, real-world data sets, such as smart buildings, electric vehicles, aircraft fighters, etc. One of which was an Azure Percept DK ( Azure Percept | Edge Computing Solution | Microsoft Azure), with its included vision module. I also had various pieces of equipment that had been “liberated” from the pandemically empty office. I really wanted to show off Azure Digital Twins ( Digital Twins – Modeling and Simulations | Microsoft Azure). Over the summer, I was trying to come up with a new demo for the center.

The ability to perform custom actions when specific data conditions occur.

The ability to view the system’s current state in some comprehendible manner (“dashboarding”).

Required data reduction and stream processing.

Continual data coming from sensors, including imagery devices.

Although the data needs are varied, the desired architectures usually have several commonalities:

The resulting architecture ended up being remarkably similar to what could be used for real-world applications.Īt the Microsoft Technology Centers, we have architectural discussions with a lot of customers who need to set up an IoT Architecture to bring data into Azure for dashboarding and analysis. I built a game of 1-on-1 Poker using Azure IoT and AI technologies.

Machine learning for playing poker