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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM40783

A Review on Smart Car Parking and Intrusion Detection System (Astra Vision)

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM40783

Volume:

9 |

1 |

Jan 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

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.

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Authors

AA

Alok Ahirrao

DM

Dhanashri Mirajkar

GR

Gauri Raykar

TV

Tanaya Varpe

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Abstract

Urban parking systems face significant challenges in efficiency and security. Traditional methods often result in traffic congestion, delays in finding parking spots, and increased vulnerability to theft, vandalism, and unauthorized access, emphasizing the need for effective management and surveillance. Smart parking systems using technologies like computer vision offer solutions but struggle with accuracy under poor lighting, weather conditions, and blocked views. High computational demands for real-time processing further limit their scalability. Real-time parking allocation adds complexities such as managing large vehicle volumes, ensuring fairness, and aligning with user preferences in urban settings. Security systems, while essential, face issues like high false alarms, adaptation to new threats, and privacy concerns. Despite advancements, smart parking systems remain limited by environmental challenges, computational requirements, and the need for user-focused, secure designs. Innovations are crucial to create adaptive, efficient systems.

KEYWORDS

. Smart parking systems computer vision computational requirements real-time processing security systems

Cite This Article

Alok Ahirrao, Dhanashri Mirajkar, Gauri Raykar, Tanaya Varpe, "A Review on Smart Car Parking and Intrusion Detection System (Astra Vision)," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 1, Jan 2025.

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Publication Date

1/17/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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