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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM40831
Volume:
9 |
1 |
Jan 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
With road safety becoming a growing concern, there is a need for effective real-time driver assistance systems that can detect road signs and monitor vehicle speed. This literature survey examines various systems that use signboard detection and speed monitoring to enhance safety by alerting drivers to traffic regulations. These systems, often equipped with front-mounted cameras, capture and interpret road signs, triggering notifications when limits are exceeded. The review delves into advances in image processing, machine learning, and sensor technologies, addressing challenges such as sign variability, environmental factors, and real-time processing requirements. In addition, it explores the effectiveness of alert mechanisms and the limitations of current systems. By synthesizing findings from multiple studies, the survey identifies trends, gaps, and opportunities, providing valuable information that will guide the design and direction of future driver assistance technologies.
KEYWORDS
Publication Date
1/17/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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