A Review on Smart Car Parking and Intrusion Detection System (Astra Vision)
Alok Ahirrao1, Dhanashri Mirajkar2, Gauri Raykar3 , Tanaya Varpe4
1 Department of Artificial Intelligence and Machine Learning ,Progressive Education Society Modern College of Engineering,Pune,India.
2 Department of Artificial Intelligence and Machine Learning ,Progressive Education Society Modern College of Engineering,Pune,India.
3 Department of Artificial Intelligence and Machine Learning ,Progressive Education Society Modern College of Engineering,Pune,India.
4 Department of Artificial Intelligence and Machine Learning ,Progressive Education Society Modern College of Engineering,Pune,India.
---------------------------------------------------------------------***---------------------------------------------------------------------
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.
Key Words: . Smart parking systems, computer vision,
computational requirements, real-time processing, security systems
