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Microsoft Imagine Cup:Canada 2012

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George Brown's Team GREEN i wins the Microsoft Imagine Cup Canadian Finals and will represent Canada in the worldwide finals in Australia July 6-10  >> more

For sponsorship opportunities contact  Leo Salemi

George Brown awarded Innovation Enhancement Grant for the Green Homes initiative which will focus on novel building retrofit materials and methods and "Smart" building automation, sensor and control system technology development. >> more

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Susan Ibach - Mircosoft Canada

Kara Carnduff - Canada Newswire

 

  

Machine Intelligence: An Investigation in the Application of Hierarchical Temporal Memory and Remote Site Monitoring Used in Building Automation and Process Control Systems  

 

Developed by Numenta Inc., Hierarchical Temporal Memory (HTM) is a new type of computing technology modeled on the structure and operation of the neocortex, a thin sheet of brain tissue that covers the outer layer of the brain and is said to be the seat of human intelligence.

 

An HTM system is not programmed in the traditional sense; instead it is trained. Sensory data is applied to an HTM system and automatically discovers the underlying patterns in the sensory input. HTM's learn what objects or movements are in the world and how to recognize them, just as a child learns to identify new objects.

The objective for this project was to learn how an HTM system worked and develop an application that could be used to add machine intelligence to systems used in building automation and process control systems.

 

Methodology

The project was divided into two parts; first learn how to program an HTM network, and then set up a system of sensors and cameras that would generate the required data to train the HTM system to control the security, lights and HVAC system in a building.    

The early release of the HTM programming platform (NuPIC) was difficult to learn and could not be adapted to our application. However the concept of developing a remote site that could be monitored and controlled over the internet resulted in gaining industry support and sponsors.

HTM Revisited

In November of this year (2009) an application released by one of Numenta's partners has demonstrated the use of HTM technology to process images from video cameras. Recent testing in our research lab has shown the ability this HTM based technology to provide a high degree of intelligence in what a video camera is capturing, equal to or surpassing some of the most expensive video analytics software on the market.

 

This project has been re-opened and will be included in our Security and Home Automation project at the Kortright Centre.

 

 

Supporters and

 Student Researchers

for this project included:

 

Clayton Wozney

Steven Irwin

Michael Joyette

Alek Kushnarenko

Scott Vannan

  Terence D'Cunha

Avinash Singh

Intiaz Abdulla

 

Hoskin Scientific

Hatch Engineering

Grace Instrumentation

 

A great idea is not worth the paper it is written on unless you make it happen - leo