View Proposal
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Proposer
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Idris Ibrahim
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Title
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Traffic Sign Recognition
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Goal
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Develop a system that can recognise and interpret traffic signs in images or video feeds for autonomous vehicles or road safety applications.
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Description
- Resources
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Background
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key skills:
Programming: Proficiency in Python and familiarity with C++ for tools like OpenCV.
Mathematics: Strong foundation in linear algebra, probability, and optimization.
Machine Learning: Knowledge of supervised learning and deep learning techniques like CNNs.
Computer Vision: Skills in image processing and object detection.
Software Engineering: Modular system design, Git version control, and testing methodologies.
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Url
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Difficulty Level
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High
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Ethical Approval
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None
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Number Of Students
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1
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Supervisor
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Idris Ibrahim
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Keywords
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Degrees
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Master of Science in Artificial Intelligence
Master of Science in Computing (2 Years)
Master of Science in Software Engineering
Master of Science in Artificial Intelligence
Master of Science in Computing (2 Years)
Master of Science in Software Engineering