Real-time object tracking using deep learning

Centre for Applied AIFaculty of Applied Science and Technology The explosive growth in the number of vehicles in use today presents several societal and environmental challenges, especially in urban centres. Learn more about how the Centre for Applied AI collaborated with LocoMobi on a project that developed an algorithm to enhance the performance of a system that addresses the challenge of character misrecognition and errors in licence plate scanning.

Publication Details

Journal
SOURCE Sheridan's Institutional Repository (Sheridan College)
Published
2024-10-23
Primary Topic
Physiological and biochemical adaptations
Type
article
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article

Real-time object tracking using deep learning

SOURCE Sheridan's Institutional Repository (Sheridan College)
Physiological and biochemical adaptations
article

Real-time object tracking using deep learning

article en

Abstract

Centre for Applied AIFaculty of Applied Science and Technology The explosive growth in the number of vehicles in use today presents several societal and environmental challenges, especially in urban centres. Learn more about how the Centre for Applied AI collaborated with LocoMobi on a project that developed an algorithm to enhance the performance of a system that addresses the challenge of character misrecognition and errors in licence plate scanning.

SOURCE Sheridan's Institutional Repository (Sheridan College)
Sustainable cities and communities
Openalex Percentile: Top 42%
Physiological and biochemical adaptations
OpenAlex
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Real-time object tracking using deep learning · SOURCE Sheridan's Institutional Repository (Sheridan College) (2024) | TGRS Research Map | TGRS