Grant: Alliance Grants
University of Ontario Institute of Technology
$27,044.00
Intelligent real-time traffic analysis from live video streams
FY 2021-22
Summary
This project will develop novel and highly accurate AI-powered techniques for real-time traffic analysis from HD live video streams (>25 FPS) to enable smart and intelligent service provisioning to customers. The project will focus on developing algorithms to detect and classify vehicles on the road at different lanes, calculate average road speeds at high accuracy, shareholder recognition (vehicle class, motorcycle, cyclist, pedestrian, etc.). These AI services will be developed using custom machine learning models built specifically for these services and trained on the state-of-the-art datasets at different image quality and varying resolutions to maximize model accuracy in real-time fitting.Ontario Tech will leverage the research and development outcomes of this project to help North Line attain a minimum viable product of the proposed technology and bring another great feature to the intelligent transportation market in Canada and beyond. This will also help North Line to expand their business nationally and internationally with a unique technology that provides an edge over competitors, combining the excellence of intelligent sensing, real-time analytics from video streams and the power of AI to enable predictive analytics. The developed AI-powered traffic analysis will push the boundaries of smart and intelligent transportation to a new level with a "Made in Canada" integrated solution.
Program
Alliance Grants
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
561391-2020
Name nom
Elgazzar, Khalid
Department département
Electrical, Computer and Software Engineering
Organization id
19222
Institution établissement
University of Ontario Institute of Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2021
Competition year année de concours
2020
Award amount
27044
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
801
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Computer software
Area of application fr
Logiciel
Research subject code
2708
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Image processing
Research subject fr
Traitement des images
Installment
inst:1
Partie
1
Nb partie
1
Application title
Intelligent real-time traffic analysis from live video streams
Keyword
NSERC
Application summary
This project will develop novel and highly accurate AI-powered techniques for real-time traffic analysis from HD live video streams (>25 FPS) to enable smart and intelligent service provisioning to customers. The project will focus on developing algorithms to detect and classify vehicles on the road at different lanes, calculate average road speeds at high accuracy, shareholder recognition (vehicle class, motorcycle, cyclist, pedestrian, etc.). These AI services will be developed using custom machine learning models built specifically for these services and trained on the state-of-the-art datasets at different image quality and varying resolutions to maximize model accuracy in real-time fitting.Ontario Tech will leverage the research and development outcomes of this project to help North Line attain a minimum viable product of the proposed technology and bring another great feature to the intelligent transportation market in Canada and beyond. This will also help North Line to expand their business nationally and internationally with a unique technology that provides an edge over competitors, combining the excellence of intelligent sensing, real-time analytics from video streams and the power of AI to enable predictive analytics. The developed AI-powered traffic analysis will push the boundaries of smart and intelligent transportation to a new level with a "Made in Canada" integrated solution.