Autonomous Passenger Counting System with Distributed IP Cameras – Phase 2

The City of Edmonton is currently in need of an automatic passenger counting (APC) system for its Light Rail Transit (LRT). An APC will help the City with various decisions making. In this proposal we focus on automatic video processing to count passengers boarding and alighting from LRT. The proposed system is simple – it will consist of overhead inexpensive IP cameras directly looking down at the car doors. Direct top view will be able to avoid occlusions.

Embracing 2030: Muslim Community Strategies and Priorities for the Future

Various waves of immigration have altered the profiles of Muslim communities in Alberta demanding a need for better data and information for both short and long term planning of services and infrastructure.  This need poses challenges not only to individual civil society organizations, but also to cross-organization coalitions seeking to build common ground upon which to facilitate more comprehensive service efforts.  To this end, using published demographic data, and information gathered from various focus group interviews, this project seeks to identify high-level issues across and betwee

Automatic non-invasive detection of diseases of birds using Infrared Thermography

Alberta Veterinary Surveillance Network (AVSN) is a unique effort in Alberta which provides diagnostic pathology and disease investigation support to veterinary practitioners to detect and respond to animal health issues that may affect public health, food safety, or market access that serves the mutual benefits of veterinarians, industry and government. Latest research reveals that Infrared thermography is a comprehensive, non-invasive, non-contact and safe method for early detection of a number of contagious animal diseases.

A N-Dimensional Vector Mining Visual Analyzer for the Surveillance of Live-Stock Production Systems in Alberta

Animal heath surveillance is concerned with not only the disease in animal populations, but also with animal pathogens and diseases that affect humans. The objective of this project is to develop a system which can model the livestock production activity data, flow, weather pattern and disease history appropriately so that events can be more easily and effectively analyzed in time and spatial domain. Moreover, the system output needs to be presented in ways that are simple to understand and easy to work with.