Recognition of Vehicles in Satellite Views

The intern shall endeavour to develop a vehicle detection system for aerial satellite views with a reasonable accuracy and a reasonable execution time for a small urban area of 100 sq. km. The intern first will train, test, and evaluate a machine learning engine to automatically recognized the vehicles of interest in aerial satellite imagery. The sponsoring organization, LTAS Technologies will have an engine and a process that can be repeated for each state in the USA. It could then provide the service to its customers which can also benefit by collecting taxes due on those vehicles.

Faculty Supervisor:

Sven Dickinson

Student:

Tom Lee

Partner:

LTAS Technologies

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of Toronto

Program:

Accelerate

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